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ORCIDCoRR, July 2019
- Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding. - Vaden Masrani, Tuan Anh Le, Frank Wood:
The Thermodynamic Variational Objective. - Alessandra Graf, David G. Harris, Penny Haxell:
Algorithms for weighted independent transversals and strong colouring. - Jean-François Kagy, Tolga Kayadelen, Ji Ma, Afshin Rostamizadeh, Jana Strnadová:
The Practical Challenges of Active Learning: Lessons Learned from Live Experimentation. - Bjørn-Olav H. Eriksen, Morten Breivik, Erik Falmar Wilthil, Andreas Lindahl Flåten, Edmund Førland Brekke:
The Branching-Course MPC Algorithm for Maritime Collision Avoidance. - Tengfei Wang, Shuyi Zhang, Xiao Wu, Wei Cai:
Rhythm Dungeon: A Blockchain-based Music Roguelike Game. - Johannes Hofmann, Christie L. Alappat, Georg Hager, Dietmar Fey, Gerhard Wellein:
Bridging the Architecture Gap: Abstracting Performance-Relevant Properties of Modern Server Processors. - Bernd Amann, Youry Khmelevsky, Gaétan Hains:
State-of-the-Art on Query & Transaction Processing Acceleration. - Cameron T. Chalk, Niels Kornerup, Wyatt Reeves, David Soloveichik:
Composable Rate-Independent Computation in Continuous Chemical Reaction Networks. - Verónica Becher, Lucas Cortés:
Extending de Bruijn sequences to larger alphabets. - Tomás Feder, Pavol Hell, Carlos S. Subi:
Complexity of acyclic colorings of graphs and digraphs with degree and girth constraints. - Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
DIEL: Transparent Scaling for Interactive Visualization. - Dongyang Kuang:
On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks. - Dongyang Kuang
:
A 1d convolutional network for leaf and time series classification. - Jennifer A. Loe, Heidi K. Thornquist, Erik G. Boman:
Polynomial Preconditioned GMRES to Reduce Communication in Parallel Computing. - Jason Bays, Umit Karabiyik:
Forensic Analysis of Third Party Location Applications in Android and iOS. - Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
Programming with Timespans in Interactive Visualizations. - Cheng Chen, Oren Kedem, Claudio R. C. M. da Silva, Carlos Cordeiro:
Millemeter-Wave Fixed Wireless Access Using IEEE 802.11ay. - Benno Kruit, Peter A. Boncz, Jacopo Urbani:
Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version). - Yakov Berchenko-Kogan, Ari Stern:
Constraint-preserving hybrid finite element methods for Maxwell's equations. - Alex Ozdemir, Aina Niemetz, Mathias Preiner, Yoni Zohar, Clark W. Barrett:
DRAT-based Bit-Vector Proofs in CVC4. - Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar V. Kamarthi, Byron C. Wallace:
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data. - Lingyun Ding, Jingfang Huang, Jeremy Louis Marzuola:
Quadrature by Two Expansions: Evaluating Laplace Layer Potentials using Complex Polynomial and Plane Wave Expansions. - Jasmine Otto, Angus G. Forbes, Jan Verschelde:
Solving Polynomial Systems with phcpy. - Mahzad Khoshlessan, Ioannis Paraskevakos, Geoffrey C. Fox, Shantenu Jha, Oliver Beckstein:
Parallel Performance of Molecular Dynamics Trajectory Analysis. - Min Wu, Marta Kwiatkowska:
Robustness Guarantees for Deep Neural Networks on Videos. - François Schwarzentruber:
The Complexity of Tiling Problems. - Matthew Streeter:
Learning Effective Loss Functions Efficiently. - Berkay Turan, Nathaniel Tucker, Mahnoosh Alizadeh:
Smart Charging Benefits in Autonomous Mobility on Demand Systems. - Yonatan Gur, Ahmadreza Momeni:
Adaptive Sequential Experiments with Unknown Information Flows. - Alessandro Ferrero, Shireen Y. Elhabian, Ross T. Whitaker:
SetGANs: Enforcing Distributional Accuracy in Generative Adversarial Networks. - Vikramjit Mitra, Sue Booker, Erik Marchi, David Scott Farrar, Ute Dorothea Peitz, Bridget Cheng, Ermine Teves, Anuj Mehta, Devang Naik:
Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice. - Saba Ahmadi, Sainyam Galhotra, Samir Khuller, Barna Saha, Roy Schwartz:
Min-Max Correlation Clustering via MultiCut. - (Withdrawn) One Size Does Not Fit All: Modeling Users' Personal Curiosity in Recommender Systems.
- Faris B. Mismar, Brian L. Evans, Ahmed Alkhateeb:
Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. - Sunil Manandhar, Kevin Moran, Kaushal Kafle, Ruhao Tang, Denys Poshyvanyk, Adwait Nadkarni:
Helion: Enabling a Natural Perspective of Home Automation. - Liuyuan Deng, Ming Yang, Tianyi Li, Yuesheng He, Chunxiang Wang:
RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation. - Chihiro Noguchi, Yoshiyuki Kabashima:
Approximate matrix completion based on cavity method. - Anthony Degleris, Ben Antin, Surya Ganguli, Alex H. Williams:
Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates. - Kartik Lakhotia, Qing Dong, Rajgopal Kannan, Viktor K. Prasanna:
Planting Trees for scalable and efficient Canonical Hub Labeling. - Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas:
Approximate Inference in Structured Instances with Noisy Categorical Observations. - Joenio Marques da Costa:
Análise Estática de Código-Fonte. - Elena Montes, Monique Shotande, Daniel Helm, Christan Grant:
DataPop: Knowledge Base Population using Distributed Voice Enabled Devices. - Amir Bar, Michal Mauda, Yoni Turner, Michal Safadi, Eldad Elnekave:
Improved ICH classification using task-dependent learning. - Yi Liao, Yasheng Wang, Qun Liu, Xin Jiang:
GPT-based Generation for Classical Chinese Poetry. - Sandeep Singh Adhikari, Sukhneer Singh, Anoop Kolar Rajagopal, Aruna Rajan:
Progressive Fashion Attribute Extraction. - Reza Shokri, Martin Strobel, Yair Zick:
Privacy Risks of Explaining Machine Learning Models. - Chaolong Jiang, Yuezheng Gong, Wenjun Cai, Yushun Wang:
A linearly implicit structure-preserving scheme for the Camassa-Holm equation based on multiple scalar auxiliary variables approach. - Felix Stahlberg, Bill Byrne:
The CUED's Grammatical Error Correction Systems for BEA-2019. - John Lång, I. S. W. B. Prasetya:
Model Checking a C++ Software Framework, a Case Study. - Yu Liu, Jiahui Li, Xiujun Zhang, Shidong Zhou:
Fast Accurate Beam and Channel Tracking for Two-dimensional Phased Antenna Arrays. - Alejandro Aguado, Víctor López, Diego R. López, Momtchil Peev, Andreas Poppe, Antonio Pastor, Jesús Folgueira, Vicente Martín:
The Engineering of Software-Defined Quantum Key Distribution Networks. - Alexander Lerch, Claire Arthur, Kumar Ashis Pati, Siddharth Gururani:
Music Performance Analysis: A Survey. - Anders Edelbo Lillie, Emil Refsgaard Middelboe:
Fake News Detection using Stance Classification: A Survey. - Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez:
Continual Learning for Robotics. - Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier:
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings. - Xingkang He, Karl Henrik Johansson, Haitao Fang:
Distributed Design of Robust Kalman Filters over Corrupted Channels. - Debin Meng, Xiaojiang Peng, Kai Wang, Yu Qiao:
frame attention networks for facial expression recognition in videos. - Adam Lev-Libfeld, Alexander Margolin, Amnon Barak:
Open-MPI over MOSIX: paralleled computing in a clustered world. - Bjørn-Olav H. Eriksen, Glenn Bitar, Morten Breivik, Anastasios M. Lekkas:
Hybrid Collision Avoidance for ASVs Compliant with COLREGs Rules 8 and 13-17. - Faeq Alrimawi, Liliana Pasquale, Deepak Mehta, Nobukazu Yoshioka, Bashar Nuseibeh:
Incidents Are Meant for Learning, Not Repeating: Sharing Knowledge About Security Incidents in Cyber-Physical Systems. - David B. Blumenthal, Sébastien Bougleux, Johann Gamper, Luc Brun:
Upper Bounding GED via Transformations to LSAPE Based on Rings and Machine Learning. - Gal Raayoni, George Pisha, Yahel Manor, Uri Mendlovic, Doron Haviv, Yaron Hadad, Ido Kaminer:
The Ramanujan Machine: Automatically Generated Conjectures on Fundamental Constants. - Ziyin Liu, Zhikang Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda:
Deep Gamblers: Learning to Abstain with Portfolio Theory. - Feiping Nie, Hua Wang, Zheng Wang, Heng Huang:
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. - Mobarakol Islam, Yueyuan Li, Hongliang Ren:
Learning Where to Look While Tracking Instruments in Robot-assisted Surgery. - Xiaoyu Chen, Qixin Wang, Jinzhou Ge, Yi Zhang, Jing Han:
Non-destructive three-dimensional measurement of hand vein based on self-supervised network. - Na Lei, Xiaopeng Zheng, Zhongxuan Luo, Feng Luo, Xianfeng Gu:
Quadrilateral Mesh Generation II : Meromorphic Quartic Differentials and Abel-Jacobi Condition. - Uwe Messer, Stefan Fausser:
Predicting Social Perception from Faces: A Deep Learning Approach. - Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. - Qingkai Yang, Hao Fang, Jie Chen, Zhong-Ping Jiang, Ming Cao:
Distributed Global Output-Feedback Control for a Class of Euler-Lagrange Systems. - Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser:
Causal Inference Under Interference And Network Uncertainty. - Christopher Lynch, Andrew M. Marshall, Catherine Meadows, Paliath Narendran, Veena Ravishankar:
On Asymmetric Unification for the Theory of XOR with a Homomorphism. - Eman Salem Alashwali, Pawel Szalachowski, Andrew Martin:
Towards Forward Secure Internet Traffic. - Jiaqi Yang, Siwen Quan, Peng Wang, Yanning Zhang:
Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching. - Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. - Nikita Ivkin, Edo Liberty, Kevin J. Lang, Zohar S. Karnin, Vladimir Braverman:
Streaming Quantiles Algorithms with Small Space and Update Time. - Dmitriy Zhuk, Barnaby Martin:
QCSP monsters and the demise of the Chen Conjecture. - Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers, Cameron Browne:
An Overview of the Ludii General Game System. - Ajay Sriram, Meysam Masoudi, Abdulrahman Alabbasi, Cicek Cavdar:
Joint Functional Splitting and Content Placement for Green Hybrid CRAN. - Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne:
An Empirical Evaluation of Two General Game Systems: Ludii and RBG. - Cédric Piette, Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne:
Ludii and XCSP: Playing and Solving Logic Puzzles. - Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers, Cameron Browne:
Ludii as a Competition Platform. - Xiaobiao Huang:
Multi-objective multi-generation Gaussian process optimizer for design optimization. - Evgenii Safronov, Michael Vilzmann, Dzmitry Tsetserukou, Konstantin Kondak:
Asynchronous Behavior Trees with Memory aimed at Aerial Vehicles with Redundancy in Flight Controller. - Jakob Voß:
Infrastructure-Agnostic Hypertext. - Jonathan Frankle, David Bau:
Dissecting Pruned Neural Networks. - Dawei Yang, Jia Deng:
Learning to Generate Synthetic 3D Training Data through Hybrid Gradient. - Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp:
On Training Flexible Robots using Deep Reinforcement Learning. - Guillaume Derval, Frédéric Docquier, Pierre Schaus:
An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data. - Kartik Hegde, Abhishek Srivastava, Rohit Agrawal:
HTS: A Hardware Task Scheduler for Heterogeneous Systems. - Steven Chaplick:
Intersection Graphs of Non-crossing Paths. - Pedro Morgado, Nuno Vasconcelos:
NetTailor: Tuning the Architecture, Not Just the Weights. - Leonidas Lefakis, Oleksandr Zadorozhnyi, Gilles Blanchard:
Efficient Regularized Piecewise-Linear Regression Trees. - Alexander Vakhitov, Victor S. Lempitsky, Yinqiang Zheng:
Stereo relative pose from line and point feature triplets. - Adam Conkey, Tucker Hermans:
Active Learning of Probabilistic Movement Primitives. - Patrick Kreitzberg, Kyle Lucke, Oliver Serang:
Most abundant isotope peaks and efficient selection on Y=X1+X2+... + Xm. - Po-Yu Kao, Jefferson W. Chen, B. S. Manjunath:
Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior. - Marcus M. Scheunemann, Sander G. van Dijk:
ROS 2 for RoboCup. - Amogh Agrawal, Chankyu Lee, Kaushik Roy:
X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks. - Grzegorz Krzyzanowski, Marcin Magdziarz, Lukasz Plociniczak:
A weighted finite difference method for subdiffusive Black Scholes Model. - Umang Mathur, Adithya Murali, Paul Krogmeier, P. Madhusudan, Mahesh Viswanathan:
Deciding Memory Safety for Forest Datastructures. - Xinping Xu, Lingjie Duan, Minming Li:
Strategic Learning Approach for Deploying UAV-provided Wireless Services. - George Bissias, Brian Neil Levine, David Thibodeau:
Bonded Mining: Difficulty Adjustment by Miner Commitment. - Rodrigo Silva-Valenzuela, Alejandro Ortiz-Bernardin, N. Sukumar, Edoardo Artioli, Nancy Hitschfeld-Kahler:
A nodal integration scheme for meshfree Galerkin methods using the virtual element decomposition. - Peida Tian, Victoria Kostina:
From Parameter Estimation to Dispersion of Nonstationary Gauss-Markov Processes. - Joshua A. Grochow, Youming Qiao:
Isomorphism problems for tensors, groups, and cubic forms: completeness and reductions. - Houston Claure, Yifang Chen, Jignesh Modi, Malte F. Jung, Stefanos Nikolaidis:
Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams. - Pei-Chuan Chen, Erik D. Demaine, Chung-Shou Liao, Hao-Ting Wei:
Waiting is not easy but worth it: the online TSP on the line revisited. - Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz:
Multiple Landmark Detection using Multi-Agent Reinforcement Learning. - Lonce Wyse:
Mechanisms of Artistic Creativity in Deep Learning Neural Networks. - Richard Guo, Cencheng Shen, Joshua T. Vogelstein:
Estimating Information-Theoretic Quantities with Random Forests. - Jie Cao, Michael Tanana, Zac E. Imel, Eric Poitras, David C. Atkins, Vivek Srikumar:
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes. - Niranjan Balachandar, Justin Dieter, Govardana Sachithanandam Ramachandran:
Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning. - Xinsheng Wang, Shanmin Pang, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Yaochen Li:
Visual Space Optimization for Zero-shot Learning. - Gabriel Salles-Loustau, Vidyasagar Sadhu, Dario Pompili, Saman A. Zonouz, Vincent Sritapan:
Secure Mobile Technologies for Proactive Critical Infrastructure Situational Awareness. - Simon Lynen, Bernhard Zeisl, Dror Aiger, Michael Bosse, Joel A. Hesch, Marc Pollefeys, Roland Siegwart, Torsten Sattler:
Large-scale, real-time visual-inertial localization revisited. - Mishal Mahmood, Mariam Azam, Khair-un-Nisa Fatima, Muhammad Sarwar, Muhammad Abubakar, Babar Hussain:
Design and Implementation of an Automatic Synchronizing and Protection Relay through Power-Hardware-in-the-Loop (PHIL) Simulation. - Hossein Sabzian, Seyyed Mostafa Seyyed Hashemi, Ehsan Kamrani:
Development of a novel matrix-based methodology for system engineering: A case study. - Wei Shen, Fei Li, Rujie Liu:
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks. - Jingrun Chen, Dingjiong Ma, Zhiwen Zhang:
A multiscale reduced basis method for Schrödinger equation with multiscale and random potentials. - Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Random Vector Functional Link Neural Network based Ensemble Deep Learning. - Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Difficulty-aware Meta-Learning for Rare Disease Diagnosis. - Willem Conradie, Sabine Frittella, Krishna Manoorkar, Sajad Nazari, Alessandra Palmigiano, Apostolos Tzimoulis, Nachoem M. Wijnberg:
Rough concepts. - Junshan Luo, Shilian Wang, Fanggang Wang:
Spatial Coded Modulation. - Ebrahim Al Alkeem, Song-Kyoo Kim, Chan Yeob Yeun, M. Jamal Zemerly, Kin Fai Poon, Paul D. Yoo:
An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning. - Nir Morgulis, Alexander Kreines, Shachar Mendelowitz, Yuval Weisglass:
Fooling a Real Car with Adversarial Traffic Signs. - Valentina Lenarduzzi, Francesco Lomio, Davide Taibi, Heikki Huttunen:
On the Fault Proneness of SonarQube Technical Debt Violations: A comparison of eight Machine Learning Techniques. - Tanmay Randhavane, Aniket Bera, Kyra Kapsaskis, Kurt Gray, Dinesh Manocha:
FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics. - Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee:
Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering. - Saket Singh, Debdoot Sheet, Mithun Dasgupta:
Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory. - André Flores, Rodrigo C. de Lamare:
Study of Rate-Splitting Techniques with Block Diagonalization for Multiuser MIMO Systems. - Jiadong Xiao, Lin Li, Yanbiao Zou, Tie Zhang:
Reinforcement Learning for Robotic Time-optimal Path Tracking Using Prior Knowledge. - Haihong E, Peiqing Niu, Zhongfu Chen, Meina Song:
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling. - Narges Gholipoor, Hamid Saeedi, Nader Mokari, Eduard A. Jorswieck:
E2E Delay Guarantee for the Tactile Internet via joint NFV and Radio Resource Allocation. - Shao-Lun Huang, Xiangxiang Xu:
On the Sample Complexity of HGR Maximal Correlation Functions. - Samuel Yen-Chi Chen, Hsi-Sheng Goan:
Variational Quantum Circuits and Deep Reinforcement Learning. - Luca Bigon, Giovanni Cassani, Ciro Greco, Lucas Lacasa, Mattia Pavoni, Andrea Polonioli, Jacopo Tagliabue:
Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce. - Daniele Boffi, Lucia Gastaldi, Sebastian Wolf:
Higher-order time-stepping schemes for fluid-structure interaction problems. - Daniel Fernandes Gomes, Shan Luo, Luís F. Teixeira:
GarmNet: Improving Global with Local Perception for Robotic Laundry Folding. - Jan Christian Blaise Cruz, Charibeth Cheng:
Evaluating Language Model Finetuning Techniques for Low-resource Languages. - Pasawee Wirojwatanakul, Artit Wangperawong:
Multi-Label Product Categorization Using Multi-Modal Fusion Models. - Mario Bravetti, Marco Carbone, Julien Lange, Nobuko Yoshida, Gianluigi Zavattaro:
A Sound Algorithm for Asynchronous Session Subtyping (extended version). - Zijia Zhong, Joyoung Lee:
Dedicated Lane for Connected and Automated Vehicle: How Much Does A Homogeneous Traffic Flow Contribute? - Jørgen Bang-Jensen, Thomas Bellitto, Anders Yeo:
Connecting edge-colouring. - He Fang, Xianbin Wang, Stefano Tomasin:
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks. - Nadisha-Marie Aliman, Leon Kester:
Requisite Variety in Ethical Utility Functions for AI Value Alignment. - Raajay Viswanathan, Aditya Akella:
Network-accelerated Distributed Machine Learning Using MLFabric. - Aarash Heydari, Janny Zhang, Shaan Appel, Xinyi Wu, Gireeja Ranade:
YouTube Chatter: Understanding Online Comments Discourse on Misinformative and Political YouTube Videos. - Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
INN: Inflated Neural Networks for IPMN Diagnosis. - Fleurianne Bertrand, Daniele Boffi:
The Prager-Synge theorem in reconstruction based a posteriori error estimation. - Dhananjay Ram, Lesly Miculicich, Hervé Bourlard:
Multilingual Bottleneck Features for Query by Example Spoken Term Detection. - Jiawei Wu, Xin Wang, William Yang Wang:
Self-Supervised Dialogue Learning. - Ben Benzaman, Erfan Pakdamanian:
Discrete Event Simulation of Driver's Routing Behavior Rule at a Road Intersection. - Jason Mancuso, Tomasz Kisielewski, David Lindner, Alok Singh:
Detecting Spiky Corruption in Markov Decision Processes. - Diego Maupomé, Marie-Jean Meurs:
Multiplicative Models for Recurrent Language Modeling. - Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard:
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog. - Shaoshi Ling, Julian Salazar, Katrin Kirchhoff:
Contextual Phonetic Pretraining for End-to-end Utterance-level Language and Speaker Recognition. - Linan Huang, Quanyan Zhu:
N-Person Discrete-Time Dynamic Games of Asymmetric Information. - Diego Maupomé, Marc Queudot, Marie-Jean Meurs:
Inter and Intra Document Attention for Depression Risk Assessment. - Joseph Fisher, Andreas Vlachos:
Merge and Label: A novel neural network architecture for nested NER. - Lê Thành Dung Nguyên:
Typed lambda-calculi and superclasses of regular functions. - Erick Schmidt, David Akopian:
A Fast-rate WLAN Measurement Tool for Improved Miss-rate in Indoor Navigation. - Ramsès Fernàndez-València:
Genus 2 Supersingular Isogeny Oblivious Transfer. - Tejas Srinivasan, Ramon Sanabria, Florian Metze:
Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions. - Erick Schmidt, David Akopian:
Indoor positioning system using WLAN channel estimates as fingerprints for mobile devices. - Joe Loughry:
("Oops! Had the silly thing in reverse") - Optical injection attacks in through LED status indicators. - Vitaliy Lyudvichenko, Dmitriy S. Vatolin:
Predicting video saliency using crowdsourced mouse-tracking data. - Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi:
Mincut pooling in Graph Neural Networks. - Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz:
Effects of Foraging in Personalized Content-based Image Recommendation. - Yuval Emek, Shay Kutten, Ron Lavi, Yangguang Shi:
Bayesian Generalized Network Design. - Massimo Fornasier, Timo Klock, Michael Rauchensteiner:
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks. - Jaimie Murdock:
Topic Modeling the Reading and Writing Behavior of Information Foragers. - Maximilian Du:
Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions. - Ali Furkan Biten, Rubèn Tito, Andrés Mafla, Lluís Gómez, Marçal Rusiñol, Minesh Mathew, C. V. Jawahar, Ernest Valveny, Dimosthenis Karatzas:
ICDAR 2019 Competition on Scene Text Visual Question Answering. - Liang Ding, Dacheng Tao:
The University of Sydney's Machine Translation System for WMT19. - Evangelos Pournaras:
Proof of Witness Presence: Blockchain Consensus for Augmented Democracy in Smart Cities. - Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava:
Deep Residual Neural Networks for Audio Spoofing Detection. - Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Modeling Tabular data using Conditional GAN. - Adriano Valadar, Eduardo Nuno Almeida, Jorge Mamede:
Joint User Mobility and Traffic Characterization in Temporary Crowded Events. - Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Few-Shot Representation Learning for Out-Of-Vocabulary Words. - Mengyu Fu, Alan Kuntz, Oren Salzman, Ron Alterovitz:
Toward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search. - Justin Slepak, Olin Shivers, Panagiotis Manolios:
The Semantics of Rank Polymorphism. - Amir Karami, Suzanne C. Swan, Cynthia Nicole White, Kayla Ford:
Hidden in Plain Sight For Too Long: Using Text Mining Techniques to Shine a Light on Workplace Sexism and Sexual Harassment. - Azarakhsh Keipour, Mohammadreza Mousaei, Sebastian A. Scherer:
Automatic Real-time Anomaly Detection for Autonomous Aerial Vehicles. - Weixia Zhang, Kede Ma, Xiaokang Yang:
Learning to Blindly Assess Image Quality in the Laboratory and Wild. - Fei Gao, Luqi Wang, Boyu Zhou, Luxin Han, Jie Pan, Shaojie Shen:
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments. - Zipeng Ye, Ran Yi, Minjing Yu, Yong-Jin Liu, Ying He:
Geodesic Centroidal Voronoi Tessellations: Theories, Algorithms and Applications. - Grigory Yaroslavtsev, Samson Zhou:
Approximate F2-Sketching of Valuation Functions. - (Withdrawn) FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control.
- Wenyue Zhou, Qiang Liu, Yifei Shen, Xiaofeng Zhou, Chuan Zhang, Yaohua Xu, Liping Li:
Polar Codes with Memory. - Jiechao Ma, Sen Liang, Xiang Li, Hongwei Li, Bjoern H. Menze, Rongguo Zhang, Wei-Shi Zheng:
Cross-view Relation Networks for Mammogram Mass Detection. - Kazuya Shimizu, Ryuhei Mori:
Exponential-time quantum algorithms for graph coloring problems. - Salman Salamatian, Litian Liu, Ahmad Beirami, Muriel Médard:
Mismatched Guesswork. - Maria-Florina Balcan, Travis Dick, Manuel Lang:
Learning to Link. - Christoph Heindl, Thomas Pönitz, Andreas Pichler, Josef Scharinger:
Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras. - Étienne André, Jun Sun:
Parametric Timed Model Checking for Guaranteeing Timed Opacity. - Mohammad Ashiqur Rahman, Md Hasan Shahriar, Ehab Al-Shaer, Quanyan Zhu:
A Formal Approach for Efficient Navigation Management of Hybrid Electric Vehicles on Long Trips. - Hee-Soo Heo, Jee-weon Jung, Hye-jin Shim, Il-Ho Yang, Ha-Jin Yu:
Cosine similarity-based adversarial process. - Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang:
Unsupervised Adversarial Graph Alignment with Graph Embedding. - Christoph Heindl, Thomas Pönitz, Gernot Stübl, Andreas Pichler, Josef Scharinger:
Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time. - Min Jun Kim, Fabian Beck, Christian Ott, Alin Albu-Schäffer:
Model-free Friction Observers for Flexible Joint Robots with Torque Measurements. - Étienne André, Michal Knapik, Didier Lime, Wojciech Penczek, Laure Petrucci:
Parametric Verification: An Introduction. - Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev:
Learning to Approximate Directional Fields Defined over 2D Planes. - Ido Nachum, Amir Yehudayoff:
On Symmetry and Initialization for Neural Networks. - Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, Maarten de Rijke:
Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? - Jia Chen, Heping Wang:
Average case tractability of additive random fields with Korobov kernels. - Jidong Hao, Heping Wang:
Strong equivalences of approximation numbers and tractability of weighted anisotropic Sobolev embeddings. - Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan:
A Review-Driven Neural Model for Sequential Recommendation. - Wen-Pu Cai, Wu-Jun Li:
Weight Normalization based Quantization for Deep Neural Network Compression. - Swanand Kadhe, Anoosheh Heidarzadeh, Alex Sprintson, Onur Ozan Koyluoglu:
On an Equivalence Between Single-Server PIR with Side Information and Locally Recoverable Codes. - David Naori, Danny Raz:
Online Multidimensional Packing Problems in the Random-Order Model. - Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang:
Weak Supervision Enhanced Generative Network for Question Generation. - Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song:
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network. - Alan Lukezic, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiri Matas, Matej Kristan:
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. - Tong Guo, Huilin Gao:
Using Database Rule for Weak Supervised Text-to-SQL Generation. - Bashar Alhnaity, Simon Pearson, Georgios Leontidis, Stefanos D. Kollias:
Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments. - Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik:
On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network. - Sebastian Ochmann, Richard Vock, Reinhard Klein:
Automatic reconstruction of fully volumetric 3D building models from point clouds. - Gernot Salzer, Agata Ciabattoni, Christian G. Fermüller, Martin Haiduk, Harald Kittler, Arno Lukas, Rosa María Rodríguez Domínguez, Antonia Wesinger, Elisabeth Riedl:
Dermtrainer: A Decision Support System for Dermatological Diseases. - Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Permutohedral Attention Module for Efficient Non-Local Neural Networks. - Qi She, Anqi Wu:
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. - Ashley Daniel Gritzman:
Avoiding Implementation Pitfalls of "Matrix Capsules with EM Routing" by Hinton et al. - Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, Sylvain Gigan:
Optical Reservoir Computing using multiple light scattering for chaotic systems prediction. - Miguel Domingo, Francisco Casacuberta:
Modernizing Historical Documents: a User Study. - Yusuke Yamaura, Nobuya Kanemaki, Yukihiro Tsuboshita:
The Resale Price Prediction of Secondhand Jewelry Items Using a Multi-modal Deep Model with Iterative Co-Attention. - Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. - Sebastian Götschel, Martin Weiser:
Lossy Compression for Large Scale PDE Problems. - Bruno R. C. Magalhães, Michael L. Hines, Thomas Sterling, Felix Schürmann:
Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks. - Sergio Barrachina-Muñoz, Francesc Wilhelmi, Boris Bellalta:
Online Primary Channel Selection for Dynamic Channel Bonding in High-Density WLANs. - Frank Kammer, Johannes Meintrup, Andrej Sajenko:
Space-Efficient Vertex Separators for Treewidth. - Simon Hacks, Hendrik Höfert, Johannes Salentin, Yoon Chow Yeong, Horst Lichter:
Towards the Definition of Enterprise Architecture Debts. - Alexandre Quemy:
Two-stage Optimization for Machine Learning Workflow. - Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik:
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. - Juliana Miehle, Louisa Pragst, Wolfgang Minker, Stefan Ultes:
Enabling Dialogue Management with Dynamically Created Dialogue Actions. - Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu:
A Capsule Network for Recommendation and Explaining What You Like and Dislike. - Sihem Sahnoun:
Event extraction based on open information extraction and ontology. - Toshiki Nakamura, Anna Zhu, Seiichi Uchida:
Scene Text Magnifier. - Sibylle Hess, Nico Piatkowski, Katharina Morik:
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. - Chunkai Zhang, Yingyang Chen, Ao Yin, Zhen Qin, Xing Zhang, Keli Zhang, Zoe Lin Jiang:
An Improvement of PAA on Trend-Based Approximation for Time Series. - Chunkai Zhang, Yingyang Chen, Ao Yin:
Anomaly Subsequence Detection with Dynamic Local Density for Time Series. - François-Xavier Aubet, Dominic Danks, Yuchen Zhu:
EQuANt (Enhanced Question Answer Network). - Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Deep Conversational Recommender in Travel. - Robert Sison, Toby C. Murray:
Verifying that a compiler preserves concurrent value-dependent information-flow security. - Fuyuan Xiao:
Evidential distance measure in complex belief function theory. - Chunlong Sun, Yu Jiang, Jijun Liu, Manabu Machida, Gen Nakamura, Goro Nishimura:
Recovering the distribution of fluorophore for FDOT using cuboid approximation. - Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. - Shimei Pan, Tao Ding:
Social Media-based User Embedding: A Literature Review. - Matias Valdenegro-Toro:
Learning Objectness from Sonar Images for Class-Independent Object Detection. - Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
From Bilingual to Multilingual Neural Machine Translation by Incremental Training. - Oladele Theophilus Sule, Roberto Rojas-Cessa:
TRIDENT: A load-balancing Clos-network Packet Switch with Queues between Input and Central Stages and In-Order Forwarding. - Tadeusz Kobus, Maciej Kokocinski, Pawel T. Wojciechowski:
Creek: a General Mixed-Consistency Transactional Replication Scheme. - Vidyasagar Sadhu, Teruhisa Misu, Dario Pompili:
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data. - Zack Fitzsimmons, Martin Lackner:
Incomplete Preferences in Single-Peaked Electorates. - Aciel Eshky, Manuel Sam Ribeiro, Korin Richmond, Steve Renals:
Synchronising audio and ultrasound by learning cross-modal embeddings. - Blake E. Woodworth, Nathan Srebro:
Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory. - Tristan Stérin:
First Occurrence of Parity Vectors and the Regular Structure of k-Span Predecessor Sets in the Collatz Graph. - Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu:
Collecting and Analyzing Multidimensional Data with Local Differential Privacy. - Eralp Turgay, Cem Bulucu, Cem Tekin:
Exploiting Relevance for Online Decision-Making in High-Dimensions. - Charles Pillet, Valerio Bioglio, Carlo Condo:
On list decoding of 5G-NR polar codes. - Frank Gurski, Dominique Komander, Carolin Rehs:
On Characterizations for Subclasses of Directed Co-Graphs. - Takahiro Wada:
Simultaneous Achievement of Driver Assistance and Skill Development in Shared and Cooperative Controls. - Sijing Li, Zhiwen Zhang, Hongkai Zhao:
A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction. - Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez:
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations. - Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos-Rodríguez, Robert J. Piechocki:
Location Anomalies Detection for Connected and Autonomous Vehicles. - Matthew Joseph, Jieming Mao, Aaron Roth:
Exponential Separations in Local Differential Privacy Through Communication Complexity. - Jørgen Bang-Jensen, Thomas Bellitto, William Lochet, Anders Yeo:
The directed 2-linkage problem with length constraints. - Kexin Wang, Yu Zhou, Shaonan Wang, Jiajun Zhang, Chengqing Zong:
Understanding Memory Modules on Learning Simple Algorithms. - Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski:
Equation Discovery for Nonlinear System Identification. - Xin Zhao, Philipp Haller:
On consistency types for lattice-based distributed programming languages. - Hugo Scurto, Bavo Van Kerrebroeck, Baptiste Caramiaux, Frédéric Bevilacqua:
Designing Deep Reinforcement Learning for Human Parameter Exploration. - Raven Beutner, Bernd Finkbeiner, Jesko Hecking-Harbusch:
Translating Asynchronous Games for Distributed Synthesis (Full Version). - Young-Chul Yoon, Du Yong Kim, Kwangjin Yoon, Young-min Song, Moongu Jeon:
Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association. - Xing Gao, Hongkai Xiong, Pascal Frossard:
iPool - Information-based Pooling in Hierarchical Graph Neural Networks. - Aciel Eshky, Manuel Sam Ribeiro, Joanne Cleland, Korin Richmond, Zoe Roxburgh, James M. Scobbie, Alan Wrench:
UltraSuite: A Repository of Ultrasound and Acoustic Data from Child Speech Therapy Sessions. - Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, Christian Theobalt:
XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera. - Gert-Jan Bottu, Ningning Xie, Koar Marntirosian, Tom Schrijvers:
Coherence of Type Class Resolution. - Liudmila Prokhorenkova:
Graph-based Nearest Neighbor Search: From Practice to Theory. - Andrea Beretta, Massimo Zancanaro, Bruno Lepri:
Following wrong suggestions: self-blame in human and computer scenarios. - Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni:
EGG: a toolkit for research on Emergence of lanGuage in Games. - Shirish Hirekodi, Seban Sunny, Leonard Topno, Alwin Daniel, Daniel Whitenack, Reuben Skewes, Stuart Cranney:
Katecheo: A Portable and Modular System for Multi-Topic Question Answering. - Martin Leinberger, Philipp Seifer, Claudia Schon, Ralf Lämmel, Steffen Staab:
Type Checking Program Code using SHACL (Extended Version). - Manuel Rigger, Stefan Marr, Bram Adams, Hanspeter Mössenböck:
Understanding GCC Builtins to Develop Better Tools. - Lucas Beyer, Damien Vincent, Olivier Teboul, Sylvain Gelly, Matthieu Geist, Olivier Pietquin:
MULEX: Disentangling Exploitation from Exploration in Deep RL. - Marcin Wrochna, Stanislav Zivný:
Improved hardness for H-colourings of G-colourable graphs. - Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp:
System Misuse Detection via Informed Behavior Clustering and Modeling. - Jan Niclas Reimann, Andreas Schwung:
Neural Logic Rule Layers. - Ítalo A. S. Assis, Antônio D. S. Oliveira, Tiago Barros, Idalmis M. Sardina, Calebe P. Bianchini, Samuel Xavier de Souza:
Distributed-Memory Load Balancing with Cyclic Token-based Work-Stealing Applied to Reverse Time Migration. - Rahul Goel, Shachi Paul, Dilek Hakkani-Tür:
HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking. - Nick Denis:
On mechanisms for transfer using landmark value functions in multi-task lifelong reinforcement learning. - Xudong Feng, Jiafeng Liu, Huamin Wang, Yin Yang, Hujun Bao, Bernd Bickel, Weiwei Xu:
Computational Design of Skinned Quad-Robots. - Roland S. Zimmermann:
Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network". - Zixuan Zhang:
Engineering Token Economy with System Modeling. - Antonio Toral:
Post-editese: an Exacerbated Translationese. - Reza Rahimian, Shayan Eskandari, Jeremy Clark:
Resolving the Multiple Withdrawal Attack on ERC20 Tokens. - Pieter Gijsbers, Erin LeDell, Janek Thomas, Sébastien Poirier, Bernd Bischl, Joaquin Vanschoren:
An Open Source AutoML Benchmark. - Emil Ringh, Elias Jarlebring:
Nonlinearizing two-parameter eigenvalue problems. - Kalesha Bullard, Yannick Schroecker, Sonia Chernova:
Active Learning within Constrained Environments through Imitation of an Expert Questioner. - Giorgia Franchini, Mathilde Galinier, Micaela Verucchi:
Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning. - Peng Zou, Omur Ozel, Suresh Subramaniam:
Trading Off Computation with Transmission in Status Update Systems. - Marijn J. H. Heule:
Trimming Graphs Using Clausal Proof Optimization. - Weikun Zhen, Yaoyu Hu, Jingfeng Liu, Sebastian A. Scherer:
A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions. - Guido Muscioni, Riccardo Pressiani, Matteo Foglio, Margaret C. Crofoot, Marco D. Santambrogio, Tanya Y. Berger-Wolf:
A Framework For Identifying Group Behavior Of Wild Animals. - Angelika Adensamer, Lukas Daniel Klausner:
Ich weiß, was du nächsten Sommer getan haben wirst: Predictive Policing in Österreich. - Lianying Zhao, Joseph I. Choi, Didem Demirag, Kevin R. B. Butler, Mohammad Mannan, Erman Ayday, Jeremy Clark:
One-Time Programs made Practical. - Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin:
Semantic Product Search. - Marc Eder, Pierre Moulon, Li Guan:
Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network. - Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano:
Estimating brain age based on a healthy population with deep learning and structural MRI. - Nibal Nayef, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie, Cheng-Lin Liu, Jean-Marc Ogier:
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. - Alex X. Lee, Anusha Nagabandi, Pieter Abbeel, Sergey Levine:
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model. - Michael Amir, Alfred M. Bruckstein:
Fast and Reliable Dispersal of Crash-Prone Agents on Graphs. - Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. - Eric-Tuan Le, Iasonas Kokkinos, Niloy J. Mitra:
Going Deeper with Point Networks. - Alex Bihlo, James Jackaman, Francis Valiquette:
On the development of symmetry-preserving finite element schemes for ordinary differential equations. - Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna, Konrad P. Körding:
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. - David Hofbauer, Christoph Schmittner, Manuela Brandstetter, Markus Tauber:
Autonomous CPS mobility securely designed. - Philippe Esling, Naotake Masuda, Adrien Bardet, Romeo Despres, Axel Chemla-Romeu-Santos:
Universal audio synthesizer control with normalizing flows. - Alaadin Addas, Julie Thorpe, Amirali Salehi-Abari:
Geographical Security Questions for Fallback Authentication. - Felice De Luca, Md. Iqbal Hossain, Stephen G. Kobourov:
Symmetry Detection and Classification in Drawings of Graphs. - Denis Davydov, Martin Kronbichler:
Algorithms and data structures for matrix-free finite element operators with MPI-parallel sparse multi-vectors. - Serge Gaspers, Ray Li:
Enumeration of Preferred Extensions in Almost Oriented Digraphs. - David Melhart, Antonios Liapis, Georgios N. Yannakakis:
PAGAN: Video Affect Annotation Made Easy. - Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency:
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. - Samuel Epstein:
Information Kernels. - Valerio Formicola, Saurabh Jha, Daniel Chen, Fei Deng, Amanda Bonnie, Mike Mason, Jim M. Brandt, Ann C. Gentile, Larry Kaplan, Jason Repik, Jeremy Enos, Mike Showerman, Annette Greiner, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Bill Kramer:
Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo. - Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks. - Nader Asadi, AmirMohammad Sarfi, Sahba Tahsini, Mahdi Eftekhari:
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation. - Saurabh Jha, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors. - Zheng Sun, Cory D. Hauck:
Low-memory, discrete ordinates, discontinuous Galerkin methods for radiative transport. - Giulio Ermanno Pibiri:
On Slicing Sorted Integer Sequences. - Guy Gaziv:
Learning to aggregate feature representations. - Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva:
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. - Lakshay Sharma, Laura Graesser, Nikita Nangia, Utku Evci:
Natural Language Understanding with the Quora Question Pairs Dataset. - Sören Henning, Wilhelm Hasselbring, Armin Möbius:
A Scalable Architecture for Power Consumption Monitoring in Industrial Production Environments. - Maen Alzubi, Szilveszter Kovács:
Investigating The Piece-Wise Linearity And Benchmark Related To Koczy-Hirota Fuzzy Linear Interpolation. - Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. - Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia:
Is artificial data useful for biomedical Natural Language Processing. - Maxime Istasse, Julien Moreau, Christophe De Vleeschouwer:
Associative Embedding for Game-Agnostic Team Discrimination. - Gustavo Borges Moreno e Mello, Vibeke Devold Valderhaug, Sidney Pontes-Filho, Evi Zouganeli, Ioanna Sandvig, Stefano Nichele:
DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks. - Rok Cesnovar, Steve Bronder, Davor Sluga, Jure Demsar, Tadej Ciglaric, Sean Talts, Erik Strumbelj:
GPU-based Parallel Computation Support for Stan. - Shuai Han, Sai Xu, Weixiao Meng, Lei He:
Channel-Correlation-Enabled Transmit Optimization for MISO Wiretap Channels. - Sihem Mesnager, Longjiang Qu:
On two-to-one mappings over finite fields. - Pedro H. M. Braga, Hansenclever de F. Bassani:
A Semi-Supervised Self-Organizing Map for Clustering and Classification. - Nathaniel Tucker, Berkay Turan, Mahnoosh Alizadeh:
Online Charge Scheduling for Electric Vehicles in Autonomous Mobility on Demand Fleets. - Florian Zuleger:
The Polynomial Complexity of Vector Addition Systems with States. - Ken Duffy, Amit Solomon, Kishori M. Konwar, Muriel Médard:
5G NR CA-Polar Maximum Likelihood Decoding by GRAND. - Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic:
Quantization in Compressive Sensing: A Signal Processing Approach. - Onur Günlü, Rafael F. Schaefer, Gerhard Kramer:
Private Authentication with Physical Identifiers Through Broadcast Channel Measurements. - Srinath Sridhar, Davis Rempe, Julien Valentin, Sofien Bouaziz, Leonidas J. Guibas:
Multiview Aggregation for Learning Category-Specific Shape Reconstruction. - Pedro H. M. Braga, Hansenclever de F. Bassani:
A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds. - Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong:
ACM-DE: Adaptive p-best Cauchy Mutation with linear failure threshold reduction for Differential Evolution in numerical optimization. - Piyush Papreja, Hemanth Venkateswara, Sethuraman Panchanathan:
Representation, Exploration and Recommendation of Music Playlists. - Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model. - Kashif Zia, Arshad Muhammad, Dinesh Kumar Saini:
A Simulation Study of Social-Networking-Driven Smart Recommendations for Internet of Vehicles. - Ravimal Bandara, Lochandaka Ranathunga, Nor Aniza Abdullah:
Nature Inspired Dimensional Reduction Technique for Fast and Invariant Visual Feature Extraction. - Kai Ming Ting, Jonathan R. Wells, Takashi Washio:
Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning. - Ossian O'Reilly, N. Anders Petersson:
Energy conservative SBP discretizations of the acoustic wave equation in covariant form on staggered curvilinear grids. - Samad Noeiaghdam, Emran Khoshrouye Ghiasi:
An efficient method to solve the mathematical model of HIV infection for CD8+ T-cells. - Chaitanya Ahuja, Louis-Philippe Morency:
Language2Pose: Natural Language Grounded Pose Forecasting. - Yongjune Kim, Won Ho Choi, Cyril Guyot, Yuval Cassuto:
On the Optimal Refresh Power Allocation for Energy-Efficient Memories. - Guang-Jing Song, Michael K. Ng, Xiongjun Zhang:
Robust Tensor Completion Using Transformed Tensor SVD. - Nick Walker, Yu-Tang Peng, Maya Cakmak:
Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robots. - Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi:
Exploring Feasible Design Spaces for Heterogeneous Constraints. - Shanshan Liu, Xin Zhang, Sheng Zhang, Hui Wang, Weiming Zhang:
Neural Machine Reading Comprehension: Methods and Trends. - Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang:
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. - Jonathan N. Lee, Aldo Pacchiano, Michael I. Jordan:
Approximate Sherali-Adams Relaxations for MAP Inference via Entropy Regularization. - Cibele Freire, Wolfgang Gatterbauer, Neil Immerman, Alexandra Meliou:
New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins. - Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston H. Hsu:
Learnable Gated Temporal Shift Module for Deep Video Inpainting. - Moming Duan:
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications. - Fei Wei, Michael Langberg, Michelle Effros:
A Local Perspective on the Edge Removal Problem. - Jehanzeb Hameed Chaudhry, Donald J. Estep, Simon Tavener:
A posteriori error analysis for Schwarz overlapping domain decomposition methods. - Qing Song, Yao Guo, Jianan Jiang, Chun Liu, Mengjie Hu:
High-speed Railway Fastener Detection and Localization Method based on convolutional neural network. - Yuchen He, Martin Huska, Sung Ha Kang, Hao Liu:
Fast Algorithms for Surface Reconstruction from Point Cloud. - Honglun Zhang, Wenqing Chen, Hao He, Yaohui Jin:
Disentangled Makeup Transfer with Generative Adversarial Network. - Yi Zhang, Chao Zhang, Takuya Akashi:
Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment. - Patrick Hutchings, Jon McCormack:
Adaptive Music Composition for Games. - Peishi Jiang, Praveen Kumar:
Bundled Causal History Interaction. - Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux:
WHAM!: Extending Speech Separation to Noisy Environments. - Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch:
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. - Ashis Pati, Alexander Lerch, Gaëtan Hadjeres:
Learning to Traverse Latent Spaces for Musical Score Inpainting. - Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. - Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. - Ramchandra Phawade:
Kleene Theorems for Free Choice Nets Labelled with Distributed Alphabets. - Linh Nguyen, Jaime Valls Miró, Xiaojun Qiu:
Can a Robot Hear the Shape and Dimensions of a Room? - Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
Procedure Planning in Instructional Videos. - Noor Al-Shakarji, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan:
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos. - Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso:
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy. - Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
A Framework for Evaluating Snippet Generation for Dataset Search. - Linh Nguyen, Jaime Valls Miró, Lei Shi, Teresa A. Vidal-Calleja:
Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation. - Minho Park, Hak Gu Kim, Yong Man Ro:
Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands. - Jingchao Chen:
Core First Unit Propagation. - Vishwanath A. Sindagi, Vishal M. Patel:
Inverse Attention Guided Deep Crowd Counting Network. - Tonghua Tian, Yongyong Cai, Xinming Wu, Zaiwen Wen:
Ground states and their characterization of spin-F Bose-Einstein condensates. - Dan Oneata, Horia Cucu:
Kite: Automatic speech recognition for unmanned aerial vehicles. - Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando:
Treant: Training Evasion-Aware Decision Trees. - Qinmeng Zou, Guillaume Gbikpi-Benissan, Frédéric Magoulès:
Asynchronous Parareal Algorithm Applied to European Option Pricing. - Qinmeng Zou, Guillaume Gbikpi-Benissan, Frédéric Magoulès:
Asynchronous Communications Library for the Parallel-in-Time Solution of Black-Scholes Equation. - Qinmeng Zou, Frédéric Magoulès:
A New Cyclic Gradient Method Adapted to Large-Scale Linear Systems. - Qinmeng Zou, Frédéric Magoulès:
Convergence Detection of Asynchronous Iterations based on Modified Recursive Doubling. - Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Chang Huang, Wenyu Liu, Xinggang Wang:
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation. - Jürgen Scherer, Bernhard Rinner:
Persistent Multi-UAV Surveillance with Data Latency Constraints. - Paul Gastin, Amaldev Manuel, R. Govind:
Logics for Reversible Regular Languages and Semigroups with Involution. - Moshe Kravchik, Asaf Shabtai:
Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks. - Artem Kaznatcheev, David A. Cohen, Peter G. Jeavons:
Representing fitness landscapes by valued constraints to understand the complexity of local search. - Kun Zhao, Takayuki Osogami, Tetsuro Morimura:
Visual analytics for team-based invasion sports with significant events and Markov reward process. - Jake Chandler, Richard Booth:
Elementary Iterated Revision and the Levi Identity. - Chae Young Lee, Youngmin Baek, Hwalsuk Lee:
TedEval: A Fair Evaluation Metric for Scene Text Detectors. - Stav Ashur, Omrit Filtser, Matthew J. Katz:
A Constant-Factor Approximation Algorithm for Vertex Guarding a WV-Polygon. - Lorenzo Clemente, Piotr Hofman, Patrick Totzke:
Timed Basic Parallel Processes. - Nicolas Grelier, Saeed Gh. Ilchi, Tillmann Miltzow, Shakhar Smorodinsky:
On the VC-dimension of convex sets and half-spaces. - Marcel Radermacher, Ignaz Rutter:
Geometric Crossing-Minimization - A Scalable Randomized Approach. - Yanxia Qian, Shuonan Wu, Fei Wang:
A mixed discontinuous Galerkin method with symmetric stress for Brinkman problem based on the velocity-pseudostress formulation. - Nils Margenberg, Thomas Richter:
Parallel time-stepping for fluid-structure interactions. - Erdi Çalli, Keelin Murphy, Ecem Sogancioglu, Bram van Ginneken:
FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis. - Yo Joong Choe, Jiyeon Ham, Kyubyong Park, Yeoil Yoon:
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning. - Dan R. Ghica, Koko Muroya, Todd Waugh Ambridge:
Local Reasoning for Robust Observational Equivalence. - Peter Stefanov, Kareem Darwish, Preslav Nakov:
Predicting the Topical Stance of Media and Popular Twitter Users. - Rajeev Goré, Björn Lellmann:
Syntactic cut-elimination and backward proof-search for tense logic via linear nested sequents (Extended version). - Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. - Swathikiran Sudhakaran, Oswald Lanz:
An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective. - Rohit Gupta, Patrik Lambert, Raj Nath Patel, John Tinsley:
Improving Robustness in Real-World Neural Machine Translation Engines. - Mario Carneiro:
Specifying verified x86 software from scratch. - Pranay Dugar, Anirban Chatterjee, Rajesh Shreedhar Bhat, Saswata Sahoo:
Semi-Bagging Based Deep Neural Architecture to Extract Text from High Entropy Images. - Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio:
Learning the Arrow of Time. - Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar:
Bandit Learning Through Biased Maximum Likelihood Estimation. - Rocco Trombetti, Ferdinando Zullo:
On the list decodability of Rank Metric codes. - Erik Sy, Tobias Mueller, Moritz Moennich, Hannes Federrath:
Accelerating QUIC's Connection Establishment on High-Latency Access Networks. - Dirk Trossen, Sebastian Robitzsch, Scott Hergenhan, Janne Riihijärvi, Martin J. Reed, Mays F. Al-Naday:
Service-based Routing at the Edge. - Fabio Pizzati, Marco Allodi, Alejandro Barrera, Fernando García:
Lane Detection and Classification using Cascaded CNNs. - Yujiang Wang, Jie Shen, Mingzhi Dong, Yang Wu, Shiyang Cheng, Maja Pantic:
Dynamic Face Video Segmentation via Reinforcement Learning. - Ekaterina Komendantskaya, Rob Stewart, Kirsty Duncan, Daniel Kienitz, Pierre Le Hen, Pascal Bacchus:
Neural Network Verification for the Masses (of AI graduates). - Erinc Merdivan, Sten Hanke, Matthieu Geist:
Modified Actor-Critics. - Amir Hossein Jadidinejad:
Learning to Reformulate the Queries on the WEB. - Dawei Li, Siyuan Yan, Xin Cai, Yan Cao, Sifan Wang:
An Integrated Image Filter for Enhancing Change Detection Results. - Mortaza Doulaty, Thomas Hain:
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition. - Anders Edelbo Lillie, Emil Refsgaard Middelboe:
Danish Stance Classification and Rumour Resolution. - Martin Kiss, Michal Hradis, Oldrich Kodym:
Brno Mobile OCR Dataset. - Palash Sarkar, Sudhan Majhi:
A Direct Construction of Optimal ZCCS and IGC Code Set With Maximum Column Sequence PMEPR Two For MC-CDMA System. - Rihab Abdul Razak, Srikant Sukumar, Hoam Chung:
Scalar Field Estimation with Mobile Sensor Networks. - Simon Etter, Daniel Massatt, Mitchell Luskin, Christoph Ortner:
Modeling and Computation of Kubo Conductivity for 2D Incommensurate Bilayers. - Jonas Bushart, Christian Rossow:
Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS. - Luís Caires, Jorge A. Pérez, Frank Pfenning, Bernardo Toninho:
Domain-Aware Session Types (Extended Version). - Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye:
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. - Sascha Kurz, Issofa Moyouwou, Hilaire Touyem:
An Axiomatization of the Shapley-Shubik Index for Interval Decisions. - Mariella Bonomo, Gaspare Ciaccio, Andrea De Salve, Simona E. Rombo:
A Semantic Approach for User-Brand Targeting in On-Line Social Networks. - Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen:
Knowledge Graph Embedding for Ecotoxicological Effect Prediction. - Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause:
Mixed-Variable Bayesian Optimization. - Axel Uran, Coert Van Gemeren, Rosanne van Diepen, Ricardo Chavarriaga, José del R. Millán:
Applying Transfer Learning To Deep Learned Models For EEG Analysis. - Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez:
Sequence Labeling Parsing by Learning Across Representations. - Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun:
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. - Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation. - Christoph Raab, Frank-Michael Schleif:
Domain Adaptation via Low-Rank Basis Approximation. - Jiadong Xiao, Lin Li, Tie Zhang, Yanbiao Zou:
Time-optimal path tracking for industrial robot: A model-free reinforcement approach. - David Guzman, Richard Schöffauer, Gerhard Wunder:
Predictive Network Control in Multi-Connectivity Mobility for URLLC Services. - Takahiro Sekoguchi, Yuki Sakai, Hideyoshi Yanagisawa:
Mathematical Model of Emotional Habituation to Novelty: Modeling with Bayesian Update and Information Theory. - Véronique Bruyère, Quentin Hautem, Mickael Randour, Jean-François Raskin:
Energy mean-payoff games. - Matias Tassano, Julie Delon, Thomas Veit:
FastDVDnet: Towards Real-Time Video Denoising Without Explicit Motion Estimation. - Peter Ström, Kimmo Kartasalo, Henrik Olsson, Leslie Solorzano, Brett Delahunt, Daniel M. Berney, David G. Bostwick, Andrew J. Evans, David J. Grignon, Peter A. Humphrey, Kenneth A. Iczkowski, James G. Kench, Glen Kristiansen, Theodorus H. van der Kwast, Katia R. M. Leite, Jesse K. McKenney, Jon Oxley, Chin-Chen Pan, Hemamali Samaratunga, John R. Srigley, Hiroyuki Takahashi, Toyonori Tsuzuki, Murali Varma, Ming Zhou, Johan Lindberg, Cecilia Bergström, Pekka Ruusuvuori, Carolina Wählby, Henrik Grönberg, Mattias Rantalainen, Lars Egevad, Martin Eklund:
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. - Christian Altenhofen, Marco Attene, Oliver J. D. Barrowclough, Michele Chiumenti, Marco Livesu, Federico Marini, Massimiliano Martinelli, Vibeke Skytt, Lorenzo Tamellini:
Parametric shape optimization for combined additive-subtractive manufacturing. - Yikun Hu, Hui Wang, Yuanyuan Zhang, Bodong Li, Dawu Gu:
A Semantics-Based Hybrid Approach on Binary Code Similarity Comparison. - Robert Bredereck, Jiehua Chen, Dusan Knop, Junjie Luo, Rolf Niedermeier:
Adapting Stable Matchings to Evolving Preferences. - Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb, Michael Möller:
Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction. - Georgios Grekas, Konstantinos Koumatos, Charalambos G. Makridakis, Phoebus Rosakis:
Approximations of cell-induced phase transitions in fibrous biomaterials: Γ-convergence analysis. - Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui:
Voting-Based Multi-Agent Reinforcement Learning. - Peter Elbau, Monika Ritsch-Marte, Otmar Scherzer, Denise Schmutz:
Inverse Problems of Trapped Objects. - Fei Feng, Jiajia Luo:
CSSegNet: Fine-Grained Cardiac Structures Segmentation Using Dilated Pyramid Pooling in U-net. - Linan Huang, Quanyan Zhu:
Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense. - Xiu Ye, Shangyou Zhang:
A conforming discontinuous Galerkin finite element method: Part II. - Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models. - Narges Gholipoor, Saeedeh Parsaeefard, Mohammad Reza Javan, Nader Mokari, Hamid Saeedi, Hossein Pishro-Nik:
Resource Management and Admission Control for Tactile Internet in Next Generation of RAN. - Xingyu Li, Mainak Mitra, Bogdan I. Epureanu:
Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition. - Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi:
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. - Julien Fauqueur, Ashok Thillaisundaram, Theodosia Togia:
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns. - Sai Kiran Narayanaswami, Balaraman Ravindran, Venkatesh Ramaiyan:
Generalized Random Surfer-Pair Models. - Xiaoyu Du, Mark Scanlon:
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts. - Haojian Jin, Vita Chen, Ritwik Rajendra, Jason I. Hong:
Enhancing Email Functionality using Late Bound Content. - Ruizheng Wu, Xiaodong Gu, Xin Tao, Xiaoyong Shen, Yu-Wing Tai, Jiaya Jia:
Landmark Assisted CycleGAN for Cartoon Face Generation. - Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon:
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning. - Issam H. Laradji, David Vázquez, Mark Schmidt:
Where are the Masks: Instance Segmentation with Image-level Supervision. - Peng Lu, Hao Zhang, Xujun Peng, Xiaofu Jin:
An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos. - Alaa Maalouf, Adiel Statman, Dan Feldman:
Tight Sensitivity Bounds For Smaller Coresets. - Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum:
Operationalizing Individual Fairness with Pairwise Fair Representations. - Jens Van den Broeck, Bart Coppens, Bjorn De Sutter:
Extended Report on the Obfuscated Integration of Software Protections. - Sander R. Dahmen, Johannes Hölzl, Robert Y. Lewis:
Formalizing the Solution to the Cap Set Problem. - Daniel Etiemble:
Evolution of Technologies and Multivalued Circuits. - Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia:
Attribute-Driven Spontaneous Motion in Unpaired Image Translation. - Son Duy Dao:
A Note On The Popularity of Stochastic Optimization Algorithms in Different Fields: A Quantitative Analysis from 2007 to 2017. - Shahrzad Naseri, Sheikh Muhammad Sarwar, James Allan:
Semantic Driven Fielded Entity Retrieval. - Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Marzyeh Ghassemi, Luca Foschini:
Reproducibility in Machine Learning for Health. - Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli:
Understanding Flaky Tests: The Developer's Perspective. - Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters:
How we do things with words: Analyzing text as social and cultural data. - Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin:
Augmenting Self-attention with Persistent Memory. - Paul C. Bell, Mika Hirvensalo:
Acceptance Ambiguity for Quantum Automata. - Teguh Santoso Lembono, Antonio Paolillo, Emmanuel Pignat, Sylvain Calinon:
Memory of Motion for Warm-starting Trajectory Optimization. - Zachary Kenton, Angelos Filos, Owain Evans, Yarin Gal:
Generalizing from a few environments in safety-critical reinforcement learning. - Canwen Xu, Zhenzhong Chen, Chenliang Li:
Obj-GloVe: Scene-Based Contextual Object Embedding. - Amir Averbuch, Pekka Neittaanmäki, Valery A. Zheludev:
Analytic and directional wavelet packets in the space of periodic signals. - Shreyas Hampali, Markus Oberweger, Mahdi Rad, Vincent Lepetit:
HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation. - Kshiteej Mahajan, Arjun Singhvi, Arjun Balasubramanian, Varun Batra, Surya Teja Chavali, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla:
Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads. - Fattaneh Bayatbabolghani, Bharath Ramsundar:
Secure Computation in Decentralized Data Markets. - Jan Niklas Fuhg, Amelie Fau:
An innovative adaptive kriging approach for efficient binary classification of mechanical problems. - Deniz Agaoglu:
Isomorphism Problem for Sd-graphs. - Lek-Heng Lim, Mateusz Michalek, Yang Qi:
Best k-layer neural network approximations. - Ori Shental, Jakob Hoydis:
"Machine LLRning": Learning to Softly Demodulate. - Boyu Zhou, Fei Gao, Luqi Wang, Chuhao Liu, Shaojie Shen:
Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight. - Bertie Vidgen, Taha Yasseri:
What, When and Where of petitions submitted to the UK Government during a time of chaos. - Uros Hercog, Andraz Povse:
Taint analysis of the Bitcoin network. - Siddhartha Devapujula, Sagar Arora, Sumit Borar:
Learning to Rank Broad and Narrow Queries in E-Commerce. - (Withdrawn) SVM Enhanced Frenet Frame Planner For Safe Navigation Amidst Moving Agents.
- Eberle A. Rambo, Bryan Donyanavard, Minjun Seo, Florian Maurer, Thawra Kadeed, Caio Batista de Melo, Biswadip Maity, Anmol Surhonne, Andreas Herkersdorf, Fadi J. Kurdahi, Nikil D. Dutt, Rolf Ernst:
The Information Processing Factory: Organization, Terminology, and Definitions. - Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento:
Protecting Privacy of Users in Brain-Computer Interface Applications. - Roy R. Lederman, Joakim Andén, Amit Singer:
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EM. - Zachary A. Pardos, Weijie Jiang:
Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System. - Guchong Li:
Multi-object Tracking in Unknown Detection Probability with the PMBM Filter. - Samuel McCauley:
Approximate Similarity Search Under Edit Distance Using Locality-Sensitive Hashing. - Wagner Felidré, Leonardo B. Furtado, Daniel Alencar da Costa, Bruno Cartaxo, Gustavo Pinto:
Continuous Integration Theater. - Katerina Papantoniou, Yannis Tzitzikas:
CS563-QA: A Collection for Evaluating Question Answering Systems. - Anna Belova, Wen He, Ziyi Zhong:
E-Sports Talent Scouting Based on Multimodal Twitch Stream Data. - Ahmad Biniaz:
A Short Proof of the Toughness of Delaunay Triangulations. - Clément L. Canonne, Anindya De, Rocco A. Servedio:
Learning from satisfying assignments under continuous distributions. - Guangzhi Tang, Ioannis E. Polykretis, Vladimir A. Ivanov, Arpit Shah, Konstantinos P. Michmizos:
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos. - Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover:
Evolving the Hearthstone Meta. - Fabian Frei, Koichi Wada:
Efficient Circuit Simulation in MapReduce. - Paolo Pareti, George Konstantinidis, Timothy J. Norman, Murat Sensoy:
Rule Applicability on RDF Triplestore Schemas. - Juan José Besa Vial, Giordano Da Lozzo, Michael T. Goodrich:
Computing k-Modal Embeddings of Planar Digraphs. - Jeffrey Barratt, Brian Zhang:
Cache-Friendly Search Trees; or, In Which Everything Beats std: : set. - Daniel Schwalbe-Koda, Rafael Gómez-Bombarelli:
Generative Models for Automatic Chemical Design. - Clint P. George, Wei Xia, George Michailidis:
Analyses of Multi-collection Corpora via Compound Topic Modeling. - Syrine Krichene, Mike Gartrell, Clément Calauzènes:
Embedding models for recommendation under contextual constraints. - Fenglei Jin, Cuiyun Gao, Michael R. Lyu:
An Online Topic Modeling Framework with Topics Automatically Labeled. - Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai:
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. - Khalil Damak, Olfa Nasraoui:
SeER: An Explainable Deep Learning MIDI-based Hybrid Song Recommender System. - Moritz Schubotz, Philipp Scharpf, Kaushal Dudhat, Yash Nagar, Felix Hamborg, Bela Gipp:
Introducing MathQA - A Math-Aware Question Answering System. - Hemant Pugaliya, Karan Saxena, Shefali Garg, Sheetal Shalini, Prashant Gupta, Eric Nyberg, Teruko Mitamura:
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment. - Dimitrios Rafailidis, Gerhard Weiss:
A Neural Attention Model for Adaptive Learning of Social Friends' Preferences. - Dimitrios Rafailidis, Gerhard Weiss:
Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering. - Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang:
Bandit Learning for Diversified Interactive Recommendation. - Kálmán Szentannai, Jalal Al-Afandi, András Horváth:
MimosaNet: An Unrobust Neural Network Preventing Model Stealing. - Mohammad Keshavarzi, Luisa Caldas, Luis Santos:
RadVR: A 6DOF Virtual Reality Daylighting Analysis Tool. - Mojdeh Saadati, Jin Tian:
Adjustment Criteria for Recovering Causal Effects from Missing Data. - Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman:
Dynamics-Aware Unsupervised Discovery of Skills. - Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Neural Network for Interpreting Task-fMRI Biomarkers. - Hatem Hajri, Hadi Zaatiti, Georges Hébrail:
Learning graph-structured data using Poincaré embeddings and Riemannian K-means algorithms. - Shuo Zhang:
Data mining Mandarin tone contour shapes. - Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, Dilek Hakkani-Tür:
MultiWOZ 2.1: Multi-Domain Dialogue State Corrections and State Tracking Baselines. - Vivek K. Singh, Ishaan Singh:
Quantifying Algorithmic Biases over Time. - Manisha Panta, Avdesh Mishra, Md. Tamjidul Hoque, Joel Atallah:
Machine Learning based Prediction of Hierarchical Classification of Transposable Elements. - Anirudh Raju, Denis Filimonov, Gautam Tiwari, Guitang Lan, Ariya Rastrow:
Scalable Multi Corpora Neural Language Models for ASR. - Antonio Orvieto, Jonas Kohler, Aurélien Lucchi:
The Role of Memory in Stochastic Optimization. - James Parker, Michael Hicks, Andrew Ruef, Michelle L. Mazurek, Dave Levin, Daniel Votipka, Piotr Mardziel, Kelsey R. Fulton:
Build It, Break It, Fix It: Contesting Secure Development. - Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Mehmet Ali Orgun:
On Conforming and Conflicting Values. - Sabari Nathan, Priya Kansal:
SkeletonNet: Shape Pixel to Skeleton Pixel. - Karim Cherifi, Kamel Hariche:
Solvents based model reduction of linear systems. - Xin Zhang, An Yang, Sujian Li, Yizhong Wang:
Machine Reading Comprehension: a Literature Review. - Gustavo Betarte, Maximiliano Cristiá, Carlos Luna, Adrián Silveira, Dante Zanarini:
Towards a formally verified implementation of the MimbleWimble cryptocurrency protocol. - Alejandro Cohen, Nir Shlezinger, Yonina C. Eldar, Muriel Médard:
Serial Quantization for Representing Sparse Signals. - Sai Krishna Kanth Hari, Abhishek Nayak, Sivakumar Rathinam:
An Approximation Algorithm for a Task Allocation, Sequencing and Scheduling Problem involving a Human-Robot Team. - Chenfeng Guo, Dongrui Wu:
Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview. - Hamidreza Amini Khorasgani, Hemanta K. Maji, Tamalika Mukherjee:
Estimating Gaps in Martingales and Applications to Coin-Tossing: Constructions and Hardness. - Sameera Horawalavithana, Adriana Iamnitchi:
On the Privacy of dK-Random Graphs. - (Withdrawn) A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images.
- Dongrui Wu, Jerry M. Mendel:
Recommendations on Designing Practical Interval Type-2 Fuzzy Systems. - Dounia Lakhmiri, Sébastien Le Digabel, Christophe Tribes:
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search. - Takehiro Ito, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Yoshio Okamoto:
Shortest Reconfiguration of Perfect Matchings via Alternating Cycles. - Chunkai Zhang, Yingyang Chen:
Time Series Anomaly Detection with Variational Autoencoders. - Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic:
Don't take it lightly: Phasing optical random projections with unknown operators. - C. Bayan Bruss, Anish Khazane, Jonathan Rider, Richard Serpe, Saurabh Nagrecha, Keegan E. Hines:
Graph Embeddings at Scale. - Wei Chen, Binghui Peng:
On Adaptivity Gaps of Influence Maximization under the Independent Cascade Model with Full Adoption Feedback. - Jialing Zhong, Hong-lin Liao, Bingquan Ji, Luming Zhang:
A fourth-order compact solver for fractional-in-time fourth-order diffusion equations. - Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Compositional Structure Learning for Sequential Video Data. - Yinhao Ren, Zhe Zhu, Yingzhou Li, Joseph Y. Lo:
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. - K. R. Arun, Saurav Samantaray:
Asymptotic Preserving and Low Mach Number Accurate IMEX Finite Volume Schemes for the Euler Equations. - Juntong Lin, Xuyun Yang, Peiwei Zheng, Hui Cheng:
End-to-end Decentralized Multi-robot Navigation in Unknown Complex Environments via Deep Reinforcement Learning. - Nai Bian, Feng Liang, Haisheng Fu, Bo Lei:
A Deep Image Compression Framework for Face Recognition. - Deepan Das, Deepak Mishra:
Unsupervised Anomalous Trajectory Detection for Crowded Scenes. - Min Chen, Yixue Hao, Hamid Gharavi, Victor C. M. Leung:
Cognitive Information Measurements: A New Perspective. - Étienne André:
What's decidable about parametric timed automata? - Darion Cassel, Yan Huang, Limin Jia:
Uncovering Information Flow Policy Violations in C Programs. - Yahya Sattar, Samet Oymak:
Quickly Finding the Best Linear Model in High Dimensions. - Zeyuan Wang, Josiah Poon, Simon K. Poon:
AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data. - Sarah Eberle, Francesco Florian, Ralf Hiptmair, Stefan A. Sauter:
A Stable Boundary Integral Formulation of an Acoustic Wave Transmission Problem with Mixed Boundary Conditions. - Charu Sharma, Deepak Nathani, Manohar Kaul:
Solving Partial Assignment Problems using Random Clique Complexes. - Chandan K. A. Reddy, Ross Cutler, Johannes Gehrke:
Supervised Classifiers for Audio Impairments with Noisy Labels. - Ariel Kulik, Kanthi K. Sarpatwar, Baruch Schieber, Hadas Shachnai:
Generalized Assignment via Submodular Optimization with Reserved Capacity. - Rui Liu, Xichan Zhu:
Statistical Characteristics of Driver Accelerating Behavior and Its Probability Model. - Zexin Cai, Yaogen Yang, Chuxiong Zhang, Xiaoyi Qin, Ming Li:
Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features. - Jaewoong Choi, Hyun Seo, Suii Im, Myungju Kang:
Attention routing between capsules. - Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend:
On the Weaknesses of Reinforcement Learning for Neural Machine Translation. - Ba Dung Le, Guanhua Wang, Mehwish Nasim, Muhammad Ali Babar:
Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification. - Simina Brânzei, Fedor Sandomirskiy:
Algorithms for Competitive Division of Chores. - Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare, Qiyi Tang, Franck van Breugel:
Computing Probabilistic Bisimilarity Distances for Probabilistic Automata. - Kaijie Tu:
Accelerating Deconvolution on Unmodified CNN Accelerators for Generative Adversarial Networks - A Software Approach. - Tatsuhiro Tsuchiya:
Using binary decision diagrams for constraint handling in combinatorial interaction testing. - Mathis Fricke, Tomislav Maric, Dieter Bothe:
Contact line advection using the geometrical Volume-of-Fluid method. - Durkbin Cho, Rafael Vázquez Hernández:
BPX preconditioners for isogeometric analysis using analysis-suitable T-splines. - Shiva Pentyala, Mengwen Liu, Markus Dreyer:
Multi-Task Networks With Universe, Group, and Task Feature Learning. - Mark Burgess, Ewout Prangsma:
Koalja: from Data Plumbing to Smart Workspaces in the Extended Cloud. - Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. - Nahuel A. Villa, Johannes Englsberger, Pierre-Brice Wieber:
Sensitivity of Legged Balance Control to Uncertainties and Sampling Period. - Shaoze You, Hua Zhu, Menggang Li, Lei Wang, Chaoquan Tang:
Tracking system of Mine Patrol Robot for Low Illumination Environment. - Olga Slizovskaia, Emilia Gómez, Gloria Haro:
A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features. - Panagiotis Charalampopoulos, Tomasz Kociumaka, Solon P. Pissis, Jakub Radoszewski, Wojciech Rytter, Juliusz Straszynski, Tomasz Walen, Wiktor Zuba:
Circular Pattern Matching with k Mismatches. - Hui Zhao, Yuanwei Liu, Ahmed Kamal Sultan-Salem, Mohamed-Slim Alouini:
A Simple Evaluation for the Secrecy Outage Probability Over Generalized-K Fading Channels. - Marcus Märtens, Dario Izzo, Andrej Krzic, Daniël Cox:
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks. - Guillaume Doras, Geoffroy Peeters:
Cover Detection using Dominant Melody Embeddings. - Bin Duan, Wei Wang, Hao Tang, Hugo Latapie, Yan Yan:
Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation. - Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic, Lars Kulik:
GeoPrune: Efficiently Finding Shareable Vehicles Based on Geometric Properties. - David Zuñiga-Noël, José-Raúl Ruiz-Sarmiento, Javier González Jiménez:
Intrinsic Calibration of Depth Cameras for Mobile Robots using a Radial Laser Scanner. - Noémie Debroux, John A. D. Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola Schönlieb:
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis. - Yahya Dogan, Hacer Yalim Keles:
Semi-supervised Image Attribute Editing using Generative Adversarial Networks. - Xiangxiang Chu, Bo Zhang, Ruijun Xu, Jixiang Li:
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. - Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang:
Deformable Tube Network for Action Detection in Videos. - Stefan Vlaski, Ali H. Sayed:
Distributed Learning in Non-Convex Environments - Part II: Polynomial Escape from Saddle-Points. - Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente:
Perspective Taking in Deep Reinforcement Learning Agents. - Sidney Pontes-Filho, Anis Yazidi, Jianhua Zhang, Hugo Hammer, Gustavo B. M. Mello, Ioanna Sandvig, Gunnar Tufte, Stefano Nichele:
A general representation of dynamical systems for reservoir computing. - Patricio Cerda, Gaël Varoquaux:
Encoding high-cardinality string categorical variables. - Fairouz Zobiri, Nacim Meslem, Brigitte Bidégaray-Fesquet:
Self-triggered stabilizing controllers for linear continuous-time systems. - Costas Iordanou, Nicolas Kourtellis, Juan Miguel Carrascosa, Claudio Soriente, Rubén Cuevas, Nikolaos Laoutaris:
Beyond content analysis: Detecting targeted ads via distributed counting. - Nicolas Bousquet, Valentin Bartier:
Linear transformations between colorings in chordal graphs. - Panagiotis Linardos, Eva Mohedano, Juan José Nieto, Noel E. O'Connor, Xavier Giró-i-Nieto, Kevin McGuinness:
Simple vs complex temporal recurrences for video saliency prediction.. - Martin Geier, Samarjit Chakraborty:
Challenges in IT Operations Management at a German University Chair - Ten Years in Retrospect. - Wilhelm Hasselbring, Sören Henning, Björn Latte, Armin Möbius, Thomas Richter, Stefani Schalk, Maik Wojcieszak:
Industrial DevOps. - James J. Cusick:
A Survey of Maturity Models from Nolon to DevOps and Their Applications in Process Improvement. - Christoph Heindl, Sebastian Zambal, Josef Scharinger:
Learning to Predict Robot Keypoints Using Artificially Generated Images. - Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:
An Experimental Evaluation of Large Scale GBDT Systems. - Barbara Verfürth:
Numerical homogenization for non-linear monotone elliptic problems. - Matthäus Zloch, Maribel Acosta, Daniel Hienert, Stefan Dietze, Stefan Conrad:
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs. - Jia Liu, Yan Ke, Yu Lei, Zhuo Zhang, Jun Li, Peng Luo, Minqing Zhang, Xiaoyuan Yang:
Recent Advances of Image Steganography with Generative Adversarial Networks. - F. O. Bunnin, Jim Q. Smith:
A Bayesian Hierarchical Model for Criminal Investigations. - Stefano V. Albrecht, Subramanian Ramamoorthy:
Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. - Allison Perrone, Justin Edwards:
Chatbots as Unwitting Actors. - Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng:
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration. - Justin Edwards, Elaheh Sanoubari:
A Need for Trust in Conversational Interface Research. - Justin Edwards, He Liu, Tianyu Zhou, Sandy J. J. Gould, Leigh Clark, Philip R. Doyle, Benjamin R. Cowan:
Multitasking with Alexa Multitasking with Alexa: How Using Intelligent Personal Assistants Impacts Language-based Primary Task Performance. - German Ignacio Parisi, Christopher Kanan:
Rethinking Continual Learning for Autonomous Agents and Robots. - Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai:
Interference Avoidance Position Planning in Dual-hop and Multi-hop UAV Relay Networks. - Florentin Wörgötter, Fatemeh Ziaeetabar, Stefan Pfeiffer, Osman Kaya, Tomas Kulvicius, Minija Tamosiunaite:
Action Prediction in Humans and Robots. - Nicolai Davidsson, Andre Pawlowski, Thorsten Holz:
Towards Automated Application-Specific Software Stacks. - Dan Nanno, Hideyoshi Yanagisawa:
Effect of assistive method on the sense of fulfillment with agency: Modeling with flow and attribution theory. - Marcus Märtens, Dario Izzo:
Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression. - Christopher R. Hoyt, Art B. Owen:
Mean Dimension of Ridge Functions. - Shi Hu, Daniel E. Worrall, Stefan Knegt, Bastiaan S. Veeling, Henkjan J. Huisman, Max Welling:
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. - Saeid Soheily-Khah, Yiming Wu:
An Enhanced Ad Event-Prediction Method Based on Feature Engineering. - Pawan Kumar Singh, Yadunath Gupta, Nilpa Jha, Aruna Rajan:
Fashion Retail: Forecasting Demand for New Items. - Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. - Tobias Harks:
Pricing in Resource Allocation Games Based on Duality Gaps. - Hsu-Chieh Hu, Stephen F. Smith:
Using Bi-Directional Information Exchange to Improve Decentralized Schedule-Driven Traffic Control. - Adnan Aijaz, Aleksandar Stanoev, Mahesh Sooriyabandara:
Toward Real-Time Wireless Control of Mobile Platforms for Future Industrial Systems. - Haim Kaplan, Katharina Klost, Wolfgang Mulzer, Liam Roditty, Paul Seiferth, Micha Sharir:
Triangles and Girth in Disk Graphs and Transmission Graphs. - Hsu-Chieh Hu, Stephen F. Smith, Rick Goldstein:
Cooperative Schedule-Driven Intersection Control with Connected and Autonomous Vehicles. - Keyan Ding, Kede Ma, Shiqi Wang:
Intrinsic Image Popularity Assessment. - Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang:
Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries. - Juhyun Lee, Nikolay Chirkov, Ekaterina Ignasheva, Yury Pisarchyk, Mogan Shieh, Fabio Riccardi, Raman Sarokin, Andrei Kulik, Matthias Grundmann:
On-Device Neural Net Inference with Mobile GPUs. - Satrajit Chatterjee, Alan Mishchenko:
Circuit-Based Intrinsic Methods to Detect Overfitting. - Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen:
Learning with Known Operators reduces Maximum Training Error Bounds. - Thomas Gittings, Steve A. Schneider, John P. Collomosse:
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior. - Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin:
Technical report for "Virtual Energy Storage Sharing and Capacity Allocation". - Jenan Shtayat, Alaa Al-Kateeb:
An Encoding-Decoding algorithm based on Padovan numbers. - Nitya Raviprakash, Sonam Damani, Ankush Chatterjee, Meghana Joshi, Puneet Agrawal:
Using AI for Economic Upliftment of Handicraft Industry. - Jonas Fassbender:
libconform v0.1.0: a Python library for conformal prediction. - Peter Anderson, Ayush Shrivastava, Devi Parikh, Dhruv Batra, Stefan Lee:
Chasing Ghosts: Instruction Following as Bayesian State Tracking. - Ben Adler, Giacomo Boscaini-Gilroy:
Real-time Claim Detection from News Articles and Retrieval of Semantically-Similar Factchecks. - Dong Li, Lin Li:
Combining Q&A Pair Quality and Question Relevance Features on Community-based Question Retrieval. - Michael Correll, Enrico Bertini, Steven Franconeri:
Truncating the Y-Axis: Threat or Menace? - Ellen Bowler, Peter T. Fretwell, Geoffrey French, Michal Mackiewicz:
Using Deep Learning to Count Albatrosses from Space. - Giovanni Abramo, Dag W. Aksnes, Ciriaco Andrea D'Angelo:
Comparison of research productivity of Italian and Norwegian professors and universities. - Francesco Croce, Matthias Hein:
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack. - Gustav Nilsson, Giacomo Como:
Generalized Proportional Allocation Policies for Robust Control of Dynamical Flow Networks. - Donghang Pan, Jingling Yuan, Lin Li, Deming Sheng:
Deep neural network-based classification model for Sentiment Analysis. - Sam Wenke, Dan Saunders, Mike Qiu, Jim Fleming:
Reasoning and Generalization in RL: A Tool Use Perspective. - Arman Hasanzadeh, Nagaraj Thenkarai Janakiraman, Vamsi K. Amalladinne, Krishna R. Narayanan:
Spatially-Coupled Neural Network Architectures. - Jieh-Sheng Lee, Jieh Hsiang:
Patent Claim Generation by Fine-Tuning OpenAI GPT-2. - Lars Gottesbüren, Michael Hamann, Dorothea Wagner:
Evaluation of a Flow-Based Hypergraph Bipartitioning Algorithm. - Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Learning Landmarks from Unaligned Data using Image Translation. - Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric D. Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba:
Benchmarking Model-Based Reinforcement Learning. - Aneeq Zia, Liheng Guo, Linlin Zhou, Irfan A. Essa, Anthony M. Jarc:
Novel evaluation of surgical activity recognition models using task-based efficiency metrics. - Mark D. Hill, Vijay Janapa Reddi:
Accelerator-level Parallelism. - Elaina Tan, Lakshay Sharma:
Neural Image Captioning. - Maíra Gatti de Bayser, Paulo Rodrigo Cavalin, Claudio S. Pinhanez, Bianca Zadrozny:
Learning Multi-Party Turn-Taking Models from Dialogue Logs. - Qianzhi Zhang, Kaveh Dehghanpour, Zhaoyu Wang, Feng Qiu, Dongbo Zhao:
Distributed Constrained Policy Learning for Power Management of Networked Microgrids. - Galen Reeves, Henry D. Pfister:
Understanding Phase Transitions via Mutual Information and MMSE. - Tanmay Randhavane, Aniket Bera, Kyra Kapsaskis, Rahul Sheth, Kurt Gray, Dinesh Manocha:
EVA: Generating Emotional Behavior of Virtual Agents using Expressive Features of Gait and Gaze. - Rafael S. Gonçalves, Matthew Horridge, Rui Li, Yu Liu, Mark A. Musen, Csongor I. Nyulas, Evelyn Obamos, Dhananjay Shrouty, David Temple:
Use of OWL and Semantic Web Technologies at Pinterest. - Falcon Z. Dai, Matthew R. Walter:
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards. - Arash Haddadan, Alantha Newman:
Towards improving Christofides algorithm for half-integer TSP. - Sølve Eidnes, Lu Li:
Linearly implicit local and global energy-preserving methods for Hamiltonian PDEs. - Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma:
Non-structured DNN Weight Pruning Considered Harmful. - Shitij Kumar, Ferat Sahin:
Sensing Volume Coverage of Robot Workspace using On-Robot Time-of-Flight Sensor Arrays for Safe Human Robot Interaction. - Subarno Banerjee, Lazaro Clapp, Manu Sridharan:
NullAway: Practical Type-Based Null Safety for Java. - Marat Dukhan:
The Indirect Convolution Algorithm. - Pál András Papp, Roger Wattenhofer:
Stabilization Time in Minority Processes. - Étienne André, Paolo Arcaini, Angelo Gargantini, Marco Radavelli:
Repairing Timed Automata Clock Guards through Abstraction and Testing. - Ke Wang, Zhendong Su:
Learning Blended, Precise Semantic Program Embeddings. - Akira Kinose, Tadahiro Taniguchi:
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Generative Model. - Suzan Ali, Tousif Osman, Mohammad Mannan, Amr M. Youssef:
On Privacy Risks of Public WiFi Captive Portals. - Samuel M. Smith:
Key Event Receipt Infrastructure (KERI). - Victor Reis, Thomas Rothvoss:
Linear Size Sparsifier and the Geometry of the Operator Norm Ball. - Frédéric Simard:
On computing distances and latencies in Link Streams. - Florian Piewak, Peter Pinggera, J. Marius Zöllner:
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. - Ankush Chakrabarty, Devesh K. Jha, Gregery T. Buzzard, Yebin Wang, Kyriakos G. Vamvoudakis:
Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation. - Wuchen Li, Jianfeng Lu, Li Wang:
Fisher information regularization schemes for Wasserstein gradient flows. - Leyuan Wang, Zhi Chen, Yizhi Liu, Yao Wang, Lianmin Zheng, Mu Li, Yida Wang:
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs. - Ankit Kumar Sharma, Hassan Foroosh:
Slim-CNN: A Light-Weight CNN for Face Attribute Prediction. - Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala:
Capacity Bounded Differential Privacy. - Shuangjun Liu, Sarah Ostadabbas:
Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation. - Samuel S. Ogden, Tian Guo:
CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling. - Natanael Quintino, Mauro Antonio Rincon:
Analysis and numerical simulation of the nonlinear beam equation with moving ends. - Vinson Young, Moinuddin K. Qureshi:
To Update or Not To Update?: Bandwidth-Efficient Intelligent Replacement Policies for DRAM Caches. - Duligur Ibeling, Thomas Icard:
On Open-Universe Causal Reasoning. - Jeff M. Phillips, Pingfan Tang:
Sketched MinDist. - Tong Geng, Xiliang Lin, Harikesh S. Nair:
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. - Michael D. Brown, Santosh Pande:
CARVE: Practical Security-Focused Software Debloating Using Simple Feature Set Mappings. - Yan Kyaw Tun, Nguyen Hoang Tran, Duy Trong Ngo, Shashi Raj Pandey, Zhu Han, Choong Seon Hong:
Wireless Network Slicing: Generalized Kelly Mechanism Based Resource Allocation. - Vinson Young, Zeshan Chishti, Moinuddin K. Qureshi:
TicToc: Enabling Bandwidth-Efficient DRAM Caching for both Hits and Misses in Hybrid Memory Systems. - Abdullah Al Maruf, Mohammad Ostadijafari, Anamika Dubey, Sandip Roy:
Small-Signal Stability Analysis for Droop-Controlled Inverter-based Microgrids with Losses and Filtering. - (Withdrawn) Classifying Multi-Gas Spectrums using Monte Carlo KNN and Multi-Resolution CNN.
- Ramy Shahin, Marsha Chechik, Rick Salay:
Lifting Datalog-Based Analyses to Software Product Lines. - Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Video Crowd Counting via Dynamic Temporal Modeling. - Xianlian Zhou, Xinyu Chen:
Design and Evaluation of Torque Compensation Controllers for a Lower Extremity Exoskeleton. - Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering. - Weibin Lin, Lin Li:
An Item Recommendation Approach by Fusing Images based on Neural Networks. - Shuo Zhang, Lei Xie:
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation. - Duan Wei, Li Lin:
An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning. - Jan Niklas Fuhg, Amelie Fau:
Surrogate model approach for investigating the stability of a friction-induced oscillator of Duffing's type. - Handan Cam, Osman Duman:
Earthquake Prediction With Artificial Neural Network Method: The Application Of West Anatolian Fault In Turkey. - Matheus Guedes Vilas Boas, Haroldo Gambini Santos, Luiz Henrique de Campos Merschmann, Greet Vanden Berghe:
Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches. - Ahmed Al-Taweel, Xiaoshen Wang:
A note on the optimal degree of the weak gradient of the stabilizer free weak Galerkin finite element method. - Shi Shi:
FusionAccel: A General Re-configurable Deep Learning Inference Accelerator on FPGA for Convolutional Neural Networks. - Edith Cohen, Ofir Geri:
Sampling Sketches for Concave Sublinear Functions of Frequencies. - Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo:
Tracking Temporal Evolution of Graphs using Non-Timestamped Data. - Seung Hyun Lee, Byung Cheol Song:
Graph-based Knowledge Distillation by Multi-head Attention Network. - Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna M. Wallach, Meredith Ringel Morris:
Toward Fairness in AI for People with Disabilities: A Research Roadmap. - Christen M, A. B. Saravanan:
RFBTD: RFB Text Detector. - Zhichao Zhang, Shugong Xu, Tianhao Qiao, Shunqing Zhang, Shan Cao:
Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification. - Chao Qin, Haoyang Ye, Christian E. Pranata, Jun Han, Ming Liu:
LINS: A Lidar-Inerital State Estimator for Robust and Fast Navigation. - Wenbin Chen, Weijia Li, Zhiwen Luo, Cheng Wang, Xiaoming Wang:
A stabilized second order exponential time differencing multistep method for thin film growth model without slope selection. - (Withdrawn) Dimensional Reweighting Graph Convolutional Networks.
- Austin Okray, Hui Hu, Chao Lan:
Fair Kernel Regression via Fair Feature Embedding in Kernel Space. - Son Tran, Ming Du, Sampath Chanda, R. Manmatha, Cj Taylor:
Searching for Apparel Products from Images in the Wild. - Pablo Antolin, Annalisa Buffa, Elaine Cohen, John F. Dannenhoffer, Gershon Elber, Stefanie Elgeti, Robert Haimes, Richard F. Riesenfeld:
Optimizing micro-tiles in micro-structures as a design paradigm. - Lei Liu, Ying Li, Chongwen Huang, Chau Yuen, Yong Liang Guan:
A New Insight into GAMP and AMP. - Wenjun Liu, Yuchun Huang, Ying Li, Qi Chen:
FPCNet: Fast Pavement Crack Detection Network Based on Encoder-Decoder Architecture. - Rasmus Pagh, Nina Stausholm, Mikkel Thorup:
Hardness of Bichromatic Closest Pair with Jaccard Similarity. - Byung-Hak Kim, Varun Ganapathi:
LumièreNet: Lecture Video Synthesis from Audio. - Anastasios Lytos, Thomas Lagkas, Panagiotis G. Sarigiannidis, Kalina Bontcheva:
The evolution of argumentation mining: From models to social media and emerging tools. - Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman:
On Explaining Machine Learning Models by Evolving Crucial and Compact Features. - Laura Aquilanti, Simone Cacace, Fabio Camilli, Raul De Maio:
A Mean Field Games approach to Cluster Analysis. - Ondrej Cífka, Umut Simsekli, Gaël Richard:
Supervised Symbolic Music Style Translation Using Synthetic Data. - Adam Karczmarz, Jakub Lacki:
Reliable Hubs for Partially-Dynamic All-Pairs Shortest Paths in Directed Graphs. - Alex Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim:
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. - Adam Karczmarz, Piotr Sankowski:
Min-Cost Flow in Unit-Capacity Planar Graphs. - Nuno Macedo, Alcino Cunha, José Pereira, Renato Carvalho, Ricardo Silva, Ana C. R. Paiva, Miguel S. Ramalho, Daniel Castro Silva:
Sharing and Learning Alloy on the Web. - Michele Coscia:
Discovering Communities of Community Discovery. - Verónica Quintuna Rodriguez, Fabrice Guillemin, Amina Boubendir:
Automating the deployment of 5G Network Slices with ONAP. - Zhichao Fu, Yingbin Zheng, Hao Ye, Yu Kong, Jing Yang, Liang He:
Edge-Aware Deep Image Deblurring. - Kewei Zhang, Antonio Orlando, Elaine Crooks:
Compensated Convexity on Bounded Domains, Mixed Moreau Envelopes and Computational Methods. - Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
From Pixels to Affect: A Study on Games and Player Experience. - R. Govind, Frédéric Herbreteau, B. Srivathsan, Igor Walukiewicz:
Revisiting local time semantics for networks of timed automata. - Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan:
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers. - Nick Walker, Yuqian Jiang, Maya Cakmak, Peter Stone:
Desiderata for Planning Systems in General-Purpose Service Robots. - Raffaele Giancarlo, Giovanni Manzini, Antonio Restivo, Giovanna Rosone, Marinella Sciortino:
The Alternating BWT: an algorithmic perspective. - Krishna Chaitanya Kosaraju, Matthijs C. de Jong, Jacquelien M. A. Scherpen:
A novel passivity based controller for a piezoelectric beam. - Jacob Focke, Leslie Ann Goldberg, Stanislav Zivný:
The Complexity of Approximately Counting Retractions to Square-Free Graphs. - Ioannis Avgouleas, Nikolaos Pappas, Vangelis Angelakis:
Wireless Caching Helper System with Heterogeneous Traffic and Random Availability. - Constantin Sander, Jan Rüth, Oliver Hohlfeld, Klaus Wehrle:
DeePCCI: Deep Learning-based Passive Congestion Control Identification. - Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler:
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation. - Alexandre Bruckert, Hamed R. Tavakoli, Zhi Liu, Marc Christie, Olivier Le Meur:
Deep Saliency Models : The Quest For The Loss Function. - Madhavun Candadai, Eduardo J. Izquierdo:
infotheory: A C++/Python package for multivariate information theoretic analysis. - Sibylle Hess, Wouter Duivesteijn:
k is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities. - Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang:
Probabilistic CCA with Implicit Distributions. - Jichen Zhu, Santiago Ontañón:
Experience Management in Multi-player Games. - Pierre Bergé, Benjamin Mouscadet, Arpad Rimmel, Joanna Tomasik:
Fixed-parameter tractability of counting small minimum (S, T)-cuts. - Fadhil Firyaguna, Jacek Kibilda, Nicola Marchetti:
Application of Flexible Numerology to Blockage Mitigation in 5G-mmWave Networks. - Dongze Lian, Zehao Yu, Shenghua Gao:
Believe It or Not, We Know What You Are Looking at! - Ilaria Perugia, Joachim Schöberl, Paul Stocker, Christoph Wintersteiger:
Tent pitching and Trefftz-DG method for the acoustic wave equation. - Ruth Ikwu, Panos Louvieris:
Detecting Cyber-Related Discussions in Online Social Platforms. - Lynton Ardizzone, Carsten T. Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe:
Guided Image Generation with Conditional Invertible Neural Networks. - Herodotos Herodotou, Elena Kakoulli:
Automating Distributed Tiered Storage Management in Cluster Computing. - Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh:
Multi-Instance Multi-Scale CNN for Medical Image Classification. - Ryan Cotterell, Hinrich Schütze:
Morphological Word Embeddings. - Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf:
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. - Youmna Farag, Helen Yannakoudakis:
Multi-Task Learning for Coherence Modeling. - Dimitris Karakostas, Aggelos Kiayias, Christos Nasikas, Dionysis Zindros:
Cryptocurrency Egalitarianism: A Quantitative Approach. - Petar Popovski, Osvaldo Simeone, Federico Boccardi, Deniz Gündüz, Onur Sahin:
Semantic-Effectiveness Filtering and Control for Post-5G Wireless Connectivity. - Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa, Killian Levacher:
Diffprivlib: The IBM Differential Privacy Library. - Leonardo Robol, Giulio Masetti:
Tensor methods for the computation of MTTA in large systems of loosely interconnected components. - Boyang Wang, Jianwei Gong, Wenli Liang, Huiyan Chen:
Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications. - John A. Mackenzie, Wan R. Mekwi:
An hr-Adaptive Method for the Cubic Nonlinear Schrödinger Equation. - Vinod Subramanian, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler:
Adversarial Attacks in Sound Event Classification. - Salvatore Vilella, Daniela Paolotti, Giancarlo Ruffo, Leo Ferres:
News and the city: understanding online press consumption patterns through mobile data. - Hangjin Liu, You Joe Zhou, Ahmad Beirami, Dror Baron:
Bayesian Nonlinear Function Estimation with Approximate Message Passing. - Yeduri Sreenivasa Reddy, Ankit Dubey, Abhinav Kumar, Trilochan Panigrahi:
A Probabilistic Approach to Model SIC based RACH mechanism for Massive Machine Type Communications in Cellular Networks. - Tomás Masarík, Irene Muzi, Marcin Pilipczuk, Pawel Rzazewski, Manuel Sorge:
Packing directed circuits quarter-integrally. - Galen Reeves, Vaishakhi Mayya, Alexander Volfovsky:
The Geometry of Community Detection via the MMSE Matrix. - Carl Doersch, Andrew Zisserman:
Sim2real transfer learning for 3D pose estimation: motion to the rescue. - Binbin Huang, Zhongjin Li, Peng Tang, Shangguang Wang, Jun Zhao, Haiyang Hu, Wanqing Li, Victor I. Chang:
Security modeling and efficient computation offloading for service workflow in mobile edge computing. - Alexey Ignatiev, Nina Narodytska, João Marques-Silva:
On Validating, Repairing and Refining Heuristic ML Explanations. - Evaggelia Tsiligianni, Nikos Deligiannis:
Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side Information. - Uri Stemmer:
Locally Private k-Means Clustering. - Alessandro Betti, Marco Gori:
Least Action Principles and Well-Posed Learning Problems. - Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui:
Location Privacy in Cognitive Radios with Multi-Server Private Information Retrieval. - Kamil Adamczewski, Mijung Park:
Neuron ranking - an informed way to condense convolutional neural networks architecture. - Nursadul Mamun, Soheil Khorram, John H. L. Hansen:
Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients. - Ashwin Prasad Shivarpatna Venkatesh, Aditya Bhat Handadi, Martin Mory:
Security Implications Of Compiler Optimizations On Cryptography - A Review. - Jess Banks, Luca Trevisan:
Vector Colorings of Random, Ramanujan, and Large-Girth Irregular Graphs. - Jeff Donahue, Karen Simonyan:
Large Scale Adversarial Representation Learning. - Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi:
Attentive Context Normalization for Robust Permutation-Equivariant Learning. - Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger:
A Survey of Pruning Methods for Efficient Person Re-identification Across Domains. - Dâmaris S. Bento, André Grahl Pereira, Levi H. S. Lelis:
Procedural Generation of Initial States of Sokoban. - Hlynur Davíð Hlynsson, Alberto N. Escalante-B., Laurenz Wiskott:
Measuring the Data Efficiency of Deep Learning Methods. - Joshua A. Haustein, Kaiyu Hang, Johannes A. Stork, Danica Kragic:
Object Placement Planning and Optimization for Robot Manipulators. - Sriteja Kummita, Goran Piskachev:
Integration of the Static Analysis Results Interchange Format in CogniCrypt. - Shimul K. Dam, Vinod John:
A Soft-switched Fast Cell-to-Cell Voltage Equalizer for Electrochemical Energy Storage. - Xiaolong Yang, Tzu-Hao Huang, Hang Hu, Shuangyue Yu, Sainan Zhang, Xianlian Zhou, Alessandra Carriero, Guang Yue, Hao Su:
Spine-Inspired Continuum Soft Exoskeleton for Stoop Lifting Assistance. - Giovanni Colavizza, Iain Hrynaszkiewicz, Isla Staden, Kirstie J. Whitaker, Barbara McGillivray:
The citation advantage of linking publications to research data. - Diego Barragán Guerrero, Minh Au, Ghyslain Gagnon, François Gagnon, Pascal Giard:
Early Detection for Optimal-Latency Communications in Multi-Hop Links. - Derek Howard, Marta Maslej, Justin Lee, Jacob Ritchie, Geoffrey Woollard, Leon French:
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study. - Ana Lucic, Hinda Haned, Maarten de Rijke:
Explaining Predictions from Tree-based Boosting Ensembles. - Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Jun Wang, Lirong Xia:
Fair Division through Information Withholding. - Arnaud Van Looveren, Janis Klaise:
Interpretable Counterfactual Explanations Guided by Prototypes. - Guangfeng Lin, Jing Wang, Kaiyang Liao, Fan Zhao, Wanjun Chen:
Structure fusion based on graph convolutional networks for semi-supervised classification. - Yutaka Nagashima:
Domain-Specific Language to Encode Induction Heuristics. - Maarten de Jong:
Multi-dimensional interpolations in C++. - Parth Singhal, Siddharth Masih:
MetaAnalysis of Methods for Scaling Blockchain Technology for Automotive Uses. - Saeedeh Shekarpour, Faisal Alshargi:
A Road-map Towards Explainable Question Answering A Solution for Information Pollution. - Armin Ahmadzadeh, Omid Hajihassani, Pooria Taheri, Seyed Hossein Khasteh:
Low-power and Reliable Solid-state Drive with Inverted Limited Weight Coding. - Zi Long, Lianzhi Tan, Shengping Zhou:
Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling. - Cyran Aouameur, Philippe Esling, Gaëtan Hadjeres:
Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds. - Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala:
Primate Face Identification in the Wild. - F. William Townes:
Generalized Principal Component Analysis. - Mai T. P. Le, Luca Sanguinetti, Emil Björnson, Maria-Gabriella Di Benedetto:
What is the Benefit of Code-domain NOMA in Massive MIMO? - Owen Marschall, Kyunghyun Cho, Cristina Savin:
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks. - Rui She, Shanyun Liu, Shuo Wan, Ke Xiong, Pingyi Fan:
Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges. - Kenneth Duru, Leonhard Rannabauer, On Ki Angel Ling, Alice-Agnes Gabriel, Heiner Igel, Michael Bader:
A stable discontinuous Galerkin method for linear elastodynamics in geometrically complex media using physics based numerical fluxes. - Amit Rege, Claire Monteleoni:
Evaluating the distribution learning capabilities of GANs. - Deepesh Data, Linqi Song, Suhas N. Diggavi:
Data Encoding for Byzantine-Resilient Distributed Optimization. - Yong Wang:
Operational Semantics of Games. - Trevor Brown, Srivatsan Ravi:
On the Cost of Concurrency in Hybrid Transactional Memory. - Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam:
Zero-shot Learning for Audio-based Music Classification and Tagging. - José Camacho, Rasmus Bro, David Kotz:
Networkmetrics unraveled: MBDA in Action. - Yang Cao, Jingling Yuan, Song Xiao, Qing Xie:
TPM: A GPS-based Trajectory Pattern Mining System. - Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor:
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings. - Junru Zhou, Hai Zhao:
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank. - Antoine Joux, Cécile Pierrot:
Algorithmic aspects of elliptic bases in finite field discrete logarithm algorithms. - Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich:
Twin Auxiliary Classifiers GAN. - Glenn Bitar, Vegard N. Vestad, Anastasios M. Lekkas, Morten Breivik:
Warm-Started Optimized Trajectory Planning for ASVs. - Jinhong Jia, Xiangcheng Zheng, Hong Wang:
A fast method for variable-order space-fractional diffusion equations. - Jonggwon Park, Kyoyun Choi, Sungwook Jeon, Dokyun Kim, Jonghun Park:
A Bi-directional Transformer for Musical Chord Recognition. - Yong Min, Tingjun Jiang, Cheng Jin, Qu Li, Xiaogang Jin:
Intelligent social bots uncover the link between user preference and diversity of news consumption. - Vincent Labatut, Xavier Bost:
Extraction and Analysis of Fictional Character Networks: A Survey. - Lakmal Meegahapola, Vengateswaran Subramaniam, Lance M. Kaplan, Archan Misra:
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units. - Christian Meyer, Michael Sievers:
A-priori error analysis of local incremental minimization schemes for rate-independent evolutions. - Junyu Gao, Wei Lin, Bin Zhao, Dong Wang, Chenyu Gao, Jun Wen:
C^3 Framework: An Open-source PyTorch Code for Crowd Counting. - Elena Burceanu, Marius Leordeanu:
A Spectral Approach to Unsupervised Object Segmentation in Video. - Jin-Hyun Ahn, Osvaldo Simeone, Joonhyuk Kang:
Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data. - Leonardo Robol:
Rational Krylov and ADI iteration for infinite size quasi-Toeplitz matrix equations. - Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert:
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. - Ki Wai Chau, Cornelis W. Oosterlee:
Exploration of a Cosine Expansion Lattice Scheme. - Bastian Harrach:
On stable invertibility and global Newton convergence for convex monotonic functions. - Abdulkadir Celik, Ming-Cheng Tsai, Redha M. Radaydeh, Fawaz S. Al-Qahtani, Mohamed-Slim Alouini:
Distributed User Clustering and Resource Allocation for Imperfect NOMA in Heterogeneous Networks. - Xueshuo Xie, Zhi Wang, Xuhang Xiao, Lei Yang, Shenwei Huang, Tao Li:
A Pvalue-guided Anomaly Detection Approach Combining Multiple Heterogeneous Log Parser Algorithms on IIoT Systems. - Peter Brand, Joachim Falk, Jonathan Ah Sue, Johannes Brendel, Ralph Hasholzner, Jürgen Teich:
Adaptive Predictive Power Management for Mobile LTE Devices. - Henrik Barthels, Christos Psarras, Paolo Bientinesi:
Automatic Generation of Efficient Linear Algebra Programs. - Patrick Henning, Johan Wärnegård:
A note on optimal H1-error estimates for Crank-Nicolson approximations to the nonlinear Schrödinger equation. - Kenjiro Kondo, Akihiko Ishikawa, Masashi Kimura:
Sequence to Sequence with Attention for Influenza Prevalence Prediction using Google Trends. - Huai-Yu Li, Weiming Dong, Bao-Gang Hu:
Incremental Concept Learning via Online Generative Memory Recall. - Niteesh S. Shanbog, Pushpa K. R:
Double Input Boost/Y-Source DC-DC Converter for Renewable Energy Sources. - Fabrizio Orlandi, Alan Meehan, Murhaf Hossari, Soumyabrata Dev, Declan O'Sullivan, Tarek AlSkaif:
Interlinking Heterogeneous Data for Smart Energy Systems. - David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Unsupervised Anomaly Localization using Variational Auto-Encoders. - Jacopo Tagliabue, Lucas Lacasa, Ciro Greco, Mattia Pavoni, Andrea Polonioli:
Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories. - Madhu Palati, Manjunath R. D, Nagesh L, Niteesh S. Shanbog, Prashanth C:
PV Source Integrated Micro-Grid for Power Quality Improvement using MPPT Technique. - Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law. - Esra Akbas, Mehmet Emin Aktas:
Network Embedding: on Compression and Learning. - Natalia Efremova, Dennis West, Dmitry Zausaev:
AI-based evaluation of the SDGs: The case of crop detection with earth observation data. - Jan Hückelheim, Navjot Kukreja, Sri Hari Krishna Narayanan, Fabio Luporini, Gerard Gorman, Paul D. Hovland:
Automatic Differentiation for Adjoint Stencil Loops. - Lia Morra, Fabrizio Lamberti:
Benchmarking unsupervised near-duplicate image detection. - Meisam Hejazinia, Pavlos Mitsoulis-Ntompos, Serena Zhang:
Deep Personalized Re-targeting. - James Garforth, Barbara Webb:
Visual Appearance Analysis of Forest Scenes for Monocular SLAM. - Chuchu Chen, Jialin Hong, Chuying Huang:
Stochastic modified equations for symplectic methods applied to rough Hamiltonian systems based on the Wong-Zakai approximation. - Robert Altmann, Christoph Zimmer:
Exponential integrators for semi-linear parabolic problems with linear constraints. - Rolando Mosquera, Abdallah El Hamidi, Aziz Hamdouni, Antoine Falaize:
Generalization of the Neville-Aitken Interpolation Algorithm on Grassmann Manifolds : Applications to Reduced Order Model. - Adrien Pommellet, Tayssir Touili:
Static Analysis of Multithreaded Recursive Programs Communicating via Rendez-vous. - Lawrence C. Paulson, Tobias Nipkow, Makarius Wenzel:
From LCF to Isabelle/HOL. - (Withdrawn) Depth Restoration: A fast low-rank matrix completion via dual-graph regularization.
- Xiaopeng Sun, Wen Lu, Rui Wang, Furui Bai:
Distilling with Residual Network for Single Image Super Resolution. - Chinnadhurai Sankar, Sujith Ravi:
Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes. - Eric M. Schulte, Jonathan Dorn, Antonio Flores-Montoya, Aaron Ballman, Tom Johnson:
GTIRB: Intermediate Representation for Binaries. - Yong Wang:
Truly Concurrent Bisimilarities are Game Equivalent. - Daniel Elsner, Stefan Langer, Fabian Ritz, Robert Müller, Steffen Illium:
Deep Neural Baselines for Computational Paralinguistics. - Hai Victor Habi, Gil Rafalovich:
Genetic Network Architecture Search. - Rebecca Faust, Katherine Isaacs, William Z. Bernstein, Michael Sharp, Carlos Scheidegger:
Anteater: Interactive Visualization for Program Understanding. - Timo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer:
Attentive Multi-Task Deep Reinforcement Learning. - Simon Lunel, Stefan Mitsch, Benoît Boyer, Jean-Pierre Talpin:
Parallel Composition and Modular Verification of Computer Controlled Systems in Differential Dynamic Logic. - Micha Pfeiffer, Isabel Funke, Maria R. Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt, Tobias Roß, Matthew J. Clarkson, Kurinchi Gurusamy, Brian R. Davidson, Lena Maier-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel:
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation. - Giuseppe Castellucci, Valentina Bellomaria, Andrea Favalli, Raniero Romagnoli:
Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model. - O. Murat Onen, Brenden A. Butters, Emily Toomey, Tayfun Gokmen, Karl K. Berggren:
Design and Characterization of Superconducting Nanowire-Based Processors for Acceleration of Deep Neural Network Training. - Simon Jantsch, David Müller, Christel Baier, Joachim Klein:
From LTL to Unambiguous Büchi Automata via Disambiguation of Alternating Automata. - Aécio S. R. Santos, Sonia Castelo, Cristian Felix, Jorge Piazentin Ono, Bowen Yu, Sungsoo Ray Hong, Cláudio T. Silva, Enrico Bertini, Juliana Freire:
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation. - Jiaqi Yang, Ke Xian, Peng Wang, Yanning Zhang:
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching. - Frank Fuhlbrück, Johannes Köbler, Oleg Verbitsky:
Identifiability of Graphs with Small Color Classes by the Weisfeiler-Leman Algorithm. - Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann:
RegDem: Increasing GPU Performance via Shared Memory Register Spilling. - Oded Green:
HashGraph - Scalable Hash Tables Using A Sparse Graph Data Structure. - Matteo Hessel, Hado van Hasselt, Joseph Modayil, David Silver:
On Inductive Biases in Deep Reinforcement Learning. - Johanni Brea, Berfin Simsek, Bernd Illing, Wulfram Gerstner:
Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape. - Tomoyuki Yamakami:
Nonuniform Families of Polynomial-Size Quantum Finite Automata and Quantum Logarithmic-Space Computation with Polynomial-Size Advice. - Petr A. Golovach, Giannos Stamoulis, Dimitrios M. Thilikos:
Hitting Topological Minor Models in Planar Graphs is Fixed Parameter Tractable. - Maria V. Vasilyeva, Wing Tat Leung, Eric T. Chung, Yalchin Efendiev, Mary F. Wheeler:
Learning macroscopic parameters in nonlinear multiscale simulations using nonlocal multicontinua upscaling techniques. - Nicolas Boria, David B. Blumenthal, Sébastien Bougleux, Luc Brun:
Improved local search for graph edit distance. - Andrea Araldo, Andrea Di Maria, Antonella Di Stefano, Giovanni Morana:
On the Importance of demand Consolidation in Mobility on Demand. - Jae Duk Seo:
Visualizing Uncertainty and Saliency Maps of Deep Convolutional Neural Networks for Medical Imaging Applications. - Miaowen Wen, Beixiong Zheng, Kyeong Jin Kim, Marco Di Renzo, Theodoros A. Tsiftsis, Kwang-Cheng Chen, Naofal Al-Dhahir:
A Survey on Spatial Modulation in Emerging Wireless Systems: Research Progresses and Applications. - Qianqian Yang, Mahdi Boloursaz Mashhadi, Deniz Gündüz:
Deep Convolutional Compression for Massive MIMO CSI Feedback. - Fouad B. Chedid:
Kolmogorov's Algorithmic Mutual Information Is Equivalent to Bayes' Law. - A. J. Han Vinck, Kees A. Schouhamer Immink, Tadashi Wadayama, Van Khu Vu, Akiko Manada, Kui Cai, Shunsuke Horii, Yoshiki Abe, Mitsugu Iwamoto, Kazuo Ohta, Xingwei Zhong, Zhen Mei, Renfei Bu, Jos H. Weber, Vitaly Skachek, Hiroyoshi Morita, N. Hovhannisyan, Hiroshi Kamabe, Shan Lu, Hirosuke Yamamoto, Kengo Hashimoto, Øyvind Ytrehus, Shigeaki Kuzuoka, Mikihiko Nishiara, Han Mao Kiah, Jun Muramatsu, Shigeki Miyake:
Proceedings of the 11th Asia-Europe Workshop on Concepts in Information Theory. - Li Ding, Mohammad H. Bawany, Ajay E. Kuriyan, Rajeev S. Ramchandran, Charles C. Wykoff, Gaurav Sharma:
A Novel Deep Learning Pipeline for Retinal Vessel Detection in Fluorescein Angiography. - Silvia Crafa, Matteo Di Pirro:
Solidity 0.5: when typed does not mean type safe. - Graham McDonald, Craig Macdonald, Iadh Ounis:
The FACTS of Technology-Assisted Sensitivity Review. - Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton:
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. - Carlos Roberto Brys, José Francisco Aldana Montes, David Luis La Red Martínez:
Un Modelo Ontológico para el Gobierno Electrónico. - Federico Landi, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara:
Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters. - Zichen Fan, Ziru Li, Bing Li, Yiran Chen, Hai Helen Li:
RED: A ReRAM-based Deconvolution Accelerator. - Oliver Bracevac, Guido Salvaneschi, Sebastian Erdweg, Mira Mezini:
Type-safe, Polyvariadic Event Correlation. - Hussein Alrubaye, Mohamed Wiem Mkaouer, Ali Ouni:
MigrationMiner: An Automated Detection Tool of Third-Party Java Library Migration at the Method Level. - Srinivas Venkattaramanujam, Eric Crawford, Thang Doan, Doina Precup:
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning. - Jon Arne Bø Hovda, Darío Garigliotti, Krisztian Balog:
NeuType: A Simple and Effective Neural Network Approach for Predicting Missing Entity Type Information in Knowledge Bases. - Shachi Paul, Rahul Goel, Dilek Hakkani-Tür:
Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues. - Majed El Helou, Sabine Süsstrunk:
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning. - Xiaofeng Liu, B. V. K. Vijaya Kumar, Chao Yang, Qingming Tang, Jane You:
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets. - Saurabh Sawlani, Junxing Wang:
Near-Optimal Fully Dynamic Densest Subgraph. - Michel Barbeau, Joaquín García-Alfaro:
Faking and Discriminating the Navigation Data of a Micro Aerial Vehicle Using Quantum Generative Adversarial Networks. - Ilse van der Linden, Hinda Haned, Evangelos Kanoulas:
Global Aggregations of Local Explanations for Black Box models. - Guan-Lin Chao, Ian R. Lane:
BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer. - Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Fredrik Hultkrantz:
Gaussian Processes for Analyzing Positioned Trajectories in Sports. - Jinguang Han:
Oblivious Location-Based Service Query. - Niels Justesen, Miguel González Duque, Daniel Cabarcas Jaramillo, Jean-Baptiste Mouret, Sebastian Risi:
Learning a Behavioral Repertoire from Demonstrations. - Victor Molina, Marta Kersten-Oertel, Tristan Glatard:
A Conceptual Marketplace Model for IoT Generated Personal Data. - Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu:
Uncovering Download Fraud Activities in Mobile App Markets. - Yu-Siang Wang, Hung-Ting Su, Chen-Hsi Chang, Winston H. Hsu:
Video Question Generation via Cross-Modal Self-Attention Networks Learning. - Soheil Khorram, Melvin G. McInnis, Emily Mower Provost:
Jointly Aligning and Predicting Continuous Emotion Annotations. - Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu:
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. - George Trimponias, Yan Xiao, Xiaorui Wu, Hong Xu, Yanhui Geng:
Node-Constrained Traffic Engineering: Theory and Applications. - Aizhan Imankulova, Raj Dabre, Atsushi Fujita, Kenji Imamura:
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation. - Astik Biswas, Raghav Menon, Ewald van der Westhuizen, Thomas Niesler:
Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training. - Xiu-Shen Wei, Jianxin Wu, Quan Cui:
Deep Learning for Fine-Grained Image Analysis: A Survey. - Hsiang-En Cherng, Chia-Hui Chang:
Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures. - Ming-Hsun Yang, Jwo-Yuh Wu, Tsang-Yi Wang, Robert G. Maunder, Rung-Hung Gau:
Fusion-Based Cooperative Support Identification for Compressive Networked Sensing. - Dwarikanath Mahapatra:
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering. - Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner:
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. - Shusen Liu, Bhavya Kailkhura, Donald Loveland, Yong Han:
Generative Counterfactual Introspection for Explainable Deep Learning. - Venkatramanan D, Vinod John:
A Reconfigurable Solar Photovoltaic Grid-Tied Inverter Architecture for Enhanced Energy Access in Backup Power Applications. - Colton Powell, Christopher Desiniotis, Behnam Dezfouli:
The Fog Development Kit: A Development Platform for SDN-based Edge-Fog Systems. - Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Bilevel Integrative Optimization for Ill-posed Inverse Problems. - Dongfang Xu, Xianghao Yu, Yan Sun, Derrick Wing Kwan Ng, Robert Schober:
Resource Allocation for Secure IRS-assisted Multiuser MISO Systems. - Jingbo Lin, Weipeng Jing, Houbing Song:
SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images. - Elit Cenk Alp, Mehmet Serdar Güzel:
Playing Flappy Bird via Asynchronous Advantage Actor Critic Algorithm. - Reinhard Heckel:
Regularizing linear inverse problems with convolutional neural networks. - Vasisht Duddu, D. Vijay Rao, Valentina Emilia Balas:
Adversarial Fault Tolerant Training for Deep Neural Networks. - Peter-Michael Osera:
Constraint-Based Type-Directed Program Synthesis. - Lin Wang, Kuk-Jin Yoon:
Co-DesignMR: A MR-based Interactive Workstation Design System Supporting Collaboration. - Mohamed Seghir Hadj Ameur, Farid Meziane, Ahmed Guessoum:
ANETAC: Arabic Named Entity Transliteration and Classification Dataset. - Lena Shakurova, Beata Nyari, Chao Li, Mihai Rotaru:
Best Practices for Learning Domain-Specific Cross-Lingual Embeddings. - Jaewon Choi, Sung-Eui Yoon:
Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization. - Jie An, Haoyi Xiong, Jiebo Luo, Jun Huan, Jinwen Ma:
Fast Universal Style Transfer for Artistic and Photorealistic Rendering. - Bicky A. Marquez, Jose Suarez-Vargas, Bhavin J. Shastri:
Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction. - Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng:
Revisiting Metric Learning for Few-Shot Image Classification. - Pengju Liu, Hongzhi Zhang, Wei Lian, Wangmeng Zuo:
Multi-level Wavelet Convolutional Neural Networks. - Kangsan Kim, Yongho Shin, Hyung-Chan An:
Constant-Factor Approximation Algorithms for Parity-Constrained Facility Location Problems. - Gang Yang, Xinyue Xu, Ying-Chang Liang:
Intelligent Reflecting Surface Assisted Non-Orthogonal Multiple Access. - Jakub Wiktor Both, Kundan Kumar, Jan Martin Nordbotten, Florin Adrian Radu:
The gradient flow structures of thermo-poro-visco-elastic processes in porous media. - Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui:
TrustSAS: A Trustworthy Spectrum Access System for the 3.5 GHz CBRS Band. - Bang L. H. Nguyen, Tuyen V. Vu, Tuan A. Ngo:
Decentralized Dynamic State Estimation in Microgrids. - Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. - Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart:
Diachronic Embedding for Temporal Knowledge Graph Completion. - Oliver Kroemer, Scott Niekum, George Dimitri Konidaris:
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. - Sean M. Devine, Nathaniel D. Bastian:
Intelligent Systems Design for Malware Classification Under Adversarial Conditions. - Gonzalo Vazquez-Vilar:
Error Probability Bounds for Gaussian Channels under Maximal and Average Power Constraints. - Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki:
Towards Debugging Deep Neural Networks by Generating Speech Utterances. - Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Unsupervised cycle-consistent deformation for shape matching. - Jingcheng Du, Chongliang Luo, Qiang Wei, Yong Chen, Cui Tao:
Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning. - Meng Qu, Jian Tang, Yoshua Bengio:
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning. - Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Towards Testing Monotonicity of Distributions Over General Posets. - Bobak Farzin, Piotr Czapla, Jeremy Howard:
Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction. - Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu:
I Am Not What I Write: Privacy Preserving Text Representation Learning. - Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Mohammad Reza Kangavari, Xiaofang Zhou, Yuval Elovici:
TEALS: Time-aware Text Embedding Approach to Leverage Subgraphs. - Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Optimizing Xeon Phi for Interactive Data Analysis. - Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger, Marco Pedersoli, Patrick Cardinal, Alessandro L. Koerich:
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition. - Piotr Indyk, Sepideh Mahabadi, Shayan Oveis Gharan, Alireza Rezaei:
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm. - Andreas Loukas:
What graph neural networks cannot learn: depth vs width. - Corwin Sinnamon:
A Randomized Algorithm for Edge-Colouring Graphs in O(m√n) Time. - J. K. Joseph, W. M. T. Chathurika, Anupiya Nugaliyadde, Yashas Mallawarachchi:
Evolutionary Algorithm for Sinhala to English Translation. - Benjamin Morrison, Adam Groce:
Oracle Separations Between Quantum and Non-interactive Zero-Knowledge Classes. - Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola:
Towards Robust, Locally Linear Deep Networks. - Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba:
Deep Exponential-Family Auto-Encoders. - Xiang Cheng, Dong Yin, Peter L. Bartlett, Michael I. Jordan:
Quantitative W1 Convergence of Langevin-Like Stochastic Processes with Non-Convex Potential State-Dependent Noise. - Jianying Lin, Rui Liu, Quanye Jia:
Joint Lifelong Topic Model and Manifold Ranking for Document Summarization. - He Yin, Murat Arcak, Andrew K. Packard, Peter J. Seiler:
Backward Reachability for Polynomial Systems on A Finite Horizon. - Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou:
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures. - Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth:
Zero-Shot Open Entity Typing as Type-Compatible Grounding. - Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou:
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control. - Yusuke Imoto:
Truncation error estimates of approximate operators in a generalized particle method. - I-Hung Hsu, Ayush Jaiswal, Premkumar Natarajan:
NIESR: Nuisance Invariant End-to-end Speech Recognition. - Patrick Dinklage, Jonas Ellert, Johannes Fischer, Dominik Köppl, Manuel Penschuck:
Bidirectional Text Compression in External Memory. - Naoko Koide-Majima, Kei Majima:
Quantum-inspired canonical correlation analysis for exponentially large dimensional data. - Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang:
Informative Visual Storytelling with Cross-modal Rules. - Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li:
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. - Ali Analooee, Shahram Azadi, Reza Kazemi:
Time Distance: A Novel Collision Prediction and Path Planning Method. - Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh:
Resource-Efficient Computing in Wearable Systems. - Estephe Arnaud, Arnaud Dapogny, Kevin Bailly:
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild. - Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh:
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. - Hiroshi Haramoto, Makoto Matsumoto, Mutsuo Saito:
Pseudo random number generators: attention for a newly proposed generator. - Jiaxuan Zhuo, Jianhuang Lai, Peijia Chen:
A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification. - Assia Benbihi, Matthieu Geist, Cédric Pradalier:
ELF: Embedded Localisation of Features in pre-trained CNN. - Manijeh Bashar, Kanapathippillai Cumanan, Alister G. Burr, Hien Quoc Ngo, Mérouane Debbah, Pei Xiao:
Max-Min Rate of Cell-Free Massive MIMO Uplink with Optimal Uniform Quantization. - Aaditeshwar Seth:
Ensuring Responsible Outcomes from Technology. - Kees van Berkel, Tim Lyon:
A Neutral Temporal Deontic STIT Logic. - François Dross, Florent Foucaud, Valia Mitsou, Pascal Ochem, Théo Pierron:
Complexity of planar signed graph homomorphisms to cycles. - Gorkem Secer:
Modeling, Analysis, and Control of Mechanical Systems under Power Constraints. - Takuma Maki, Hideyoshi Yanagisawa:
A methodology for multisensory product experience design using cross-modal effect: A case of SLR camera. - Konstantin Chukharev, Daniil Chivilikhin:
fbSAT: Automatic Inference of Minimal Finite-State Models of Function Blocks. - Andrew R. Winters, Christof Czernik, Moritz B. Schily, Gregor J. Gassner:
Entropy stable numerical approximations for the isothermal and polytropic Euler equations. - Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li:
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks. - Van Truong Hoang, Manh Duong Phung, Tran Hiep Dinh, Quang Phuc Ha:
System Architecture for Real-time Surface Inspection Using Multiple UAVs. - Ali Kassem, Yliès Falcone:
Detecting Fault Injection Attacks with Runtime Verification. - Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha:
Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection. - Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy:
A Human-Grounded Evaluation of SHAP for Alert Processing. - Emanuela Haller, Adina Magda Florea, Marius Leordeanu:
Spacetime Graph Optimization for Video Object Segmentation. - Andrew Redd, Kaung Khin, Aldo Marini:
Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm. - Alex Manuskin, Michael Mirkin, Ittay Eyal:
Ostraka: Secure Blockchain Scaling by Node Sharding. - Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy:
Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models. - Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns:
Graphyti: A Semi-External Memory Graph Library for FlashGraph. - Sonya Liberman, Shaked Bar, Raphael Vannerom, Danny Rosenstein, Ronny Lempel:
Search-Based Serving Architecture of Embeddings-Based Recommendations. - Fabian Latorre Gómez, Armin Eftekhari, Volkan Cevher:
Fast and Provable ADMM for Learning with Generative Priors. - Yogev Bar-On, Yishay Mansour:
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits. - Hung Ba:
Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks. - Petr Rockai, Zuzana Baranová, Jan Mrázek, Katarína Kejstová, Jiri Barnat:
Reproducible Execution of POSIX Programs with DiOS. - Magnus Wiese, Robert Knobloch, Ralf Korn:
Copula & Marginal Flows: Disentangling the Marginal from its Joint. - Nitin Agrawal, Ali Shahin Shamsabadi, Matt J. Kusner, Adrià Gascón:
QUOTIENT: Two-Party Secure Neural Network Training and Prediction. - Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West:
Privacy-Preserving Classification with Secret Vector Machines. - Wuwei Lan, Yanyan Xu, Bin Zhao:
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach. - Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood:
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. - Xiaogang Liu:
Further results on some classes of permutation polynomials over finite fields. - Fangqiao Hu, Jin Zhao, Yong Huang, Hui Li:
Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction. - Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin:
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks. - Saeid Amiri, Sujay Bajracharya, Cihangir Goktolga, Jesse Thomason, Shiqi Zhang:
Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog. - Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian D. Reid, Seyed Hamid Rezatofighi, Silvio Savarese:
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks. - Xin Jin, Rui Han, Ning Ning, Xiaodong Li, Xiaokun Zhang:
Facial Makeup Transfer Combining Illumination Transfer. - Takuma Udagawa, Akiko Aizawa:
A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context. - Sepidehsadat Hosseini, Mohammad Amin Shabani, Nam Ik Cho:
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning. - Muhammad Sarwar, Atiqa Dawood, Maheen, Ujyara Saleem, Muhammad Abubakar:
Smart Switching and Control of a Distributed Generator Synchronized With National Grid. - Bazyli Klockiewicz, Eric Darve:
Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors. - Bodin Chinthanet, Raula Gaikovina Kula, Takashi Ishio, Akinori Ihara, Kenichi Matsumoto:
On The Lag of Library Vulnerability Updates: An Investigation into the Repackage and Delivery of Security Fixes Within The npm JavaScript Ecosystem. - Satsuya Ohata, Koji Nuida:
Towards High-Throughput Secure MPC over the Internet: Communication-Efficient Two-Party Protocols and Its Application. - Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin:
The Price of Interpretability. - Muhammad Sarwar, Anas Ramzan, Muhammad Usman Naseer, Bilal Asad:
Real Time Control and Performance Analysis of A Smart Multi-Machine System through Hardware-in-the-Loop Simulation. - Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. - Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee, Arsh Zahed, Felix Li, Joseph E. Gonzalez, Ken Goldberg:
On-Policy Robot Imitation Learning from a Converging Supervisor. - Jianzhu Huai, Yusen Qin, Fumin Pang, Zichong Chen:
Segway DRIVE Benchmark: Place Recognition and SLAM Data Collected by A Fleet of Delivery Robots. - Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin:
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. - Clemens Kreutz:
Guidelines for benchmarking of optimization approaches for fitting mathematical models. - Shun Zhang:
On Approximating Discontinuous Solutions of PDEs by Adaptive Finite Elements. - Alexander A. Myltsev:
parboiled2: a macro-based approach for effective generators of parsing expressions grammars in Scala. - Tzu-Wei Chao, Hao Chung, Po-Chun Kuo:
Fair Byzantine Agreements for Blockchains. - Athanasios Papadopoulos, Nestor D. Chatzidiamantis, Leonidas Georgiadis:
Capacity and Algorithms for a Cognitive Network with Primary-Secondary User Cooperation. - Aahlad Manas Puli, Rajesh Ranganath:
Generalized Control Functions via Variational Decoupling. - Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Ariel Neufeld:
Deep splitting method for parabolic PDEs. - Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
Joint Neural Collaborative Filtering for Recommender Systems. - Yuhao Xu, Jiakui Wang:
A unified neural network for object detection, multiple object tracking and vehicle re-identification. - Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo Dees, Tony Constantinides:
Graph Signal Processing - Part I: Graphs, Graph Spectra, and Spectral Clustering. - Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen:
Correct-and-Memorize: Learning to Translate from Interactive Revisions. - Farzam Fanitabasi, Evangelos Pournaras:
Appliance-level Flexible Scheduling for Socio-technical Smart Grid Optimisation. - Anna Engelmann, Admela Jukan:
Mitigating Censorship with Multi-Circuit Tor and Linear Network Coding. - Felix Dobslaw, Robert Feldt, David Michaelsson, Patrick Haar, Francisco Gomes de Oliveira Neto, Richard Torkar:
Estimating Return on Investment for GUI Test Automation Tools. - Paolo Pistone, Luca Tranchini:
Polymorphism and the free bicartesian closed category. - Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Quantifying Transparency of Machine Learning Systems through Analysis of Contributions. - Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Searching for Effective Neural Extractive Summarization: What Works and What's Next. - Vikas Dwivedi, Balaji Srinivasan:
Physics Informed Extreme Learning Machine (PIELM) - A rapid method for the numerical solution of partial differential equations. - Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
A Multi-Stage Clustering Framework for Automotive Radar Data. - Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda:
Early Discovery of Emerging Entities in Microblogs. - Sara M. González-Betancor, Pablo Dorta-González:
Publication modalities 'article in press' and 'open access' in relation to journal average citation. - Huy-Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin:
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data. - Debaditya Chaudhuri, Michael Langberg, Michelle Effros:
Secure Network Coding in the Setting in Which a Non-Source Node May Generate Random Keys. - Emanuele De Angelis, Grigory Fedyukovich, Nikos Tzevelekos, Mattias Ulbrich:
Proceedings of the Sixth Workshop on Horn Clauses for Verification and Synthesis and Third Workshop on Program Equivalence and Relational Reasoning, HCVS/PERR@ETAPS 2019, Prague, Czech Republic, 6-7th April 2019. EPTCS 296, 2019 [contents] - Marten Maack, Klaus Jansen:
Inapproximability Results for Scheduling with Interval and Resource Restrictions. - Gianluca Casciano, Paolo Baracca, Stefano Buzzi:
Enabling Ultra Reliable Wireless Communications for Factory Automation with Distributed MIMO. - Rasoul Ramezanian:
A Formal Axiomatization of Computation. - Demian Hespe, Peter Sanders:
More Hierarchy in Route Planning Using Edge Hierarchies. - Micah Halter, Christine Herlihy, James P. Fairbanks:
A Compositional Framework for Scientific Model Augmentation. 172-182 - Tomás Jenícek, Ondrej Chum:
Linking Art through Human Poses. - Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane:
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. - Frederik Hauser, Mark Schmidt, Michael Menth:
xRAC: Execution and Access Control for Restricted Application Containers on Managed Hosts. - Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen:
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images. - Muhammad Syifa'ul Mufid, Dieky Adzkiya, Alessandro Abate:
Bounded Model Checking of Max-Plus Linear Systems via Predicate Abstractions. - Armando Castañeda, Pierre Fraigniaud, Ami Paz, Sergio Rajsbaum, Matthieu Roy, Corentin Travers:
A Topological Perspective on Distributed Network Algorithms. - Shreyan Chowdhury, Andreu Vall, Verena Haunschmid, Gerhard Widmer:
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features. - Lorenzo Pareschi, Michael Herty, Giuseppe Visconti:
Mean field models for large data-clustering problems. - Aritra Mitra, John A. Richards, Shreyas Sundaram:
A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience. - Zelin Dai, Weitang Liu, Hao Zhang, Minghao Zhu, Long Wang:
Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent. - Sejuti Banik, Irvin Steve Cardenas, Jong-Hoon Kim:
IoT Platforms for 5G Network and Practical Considerations: A Survey. - Frederik Hauser, Marco Häberle, Mark Schmidt, Michael Menth:
P4-IPsec: Implementation of IPsec Gateways in P4 with SDN Control for Host-to-Site Scenarios. - Shuo Zhang, Krisztian Balog:
Recommending Related Tables. - Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang:
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. - Charlotte Perrin, Khaled Saleh:
A convergent FV-FEM scheme for the stationary compressible Navier-Stokes equations. - Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Tingnan Zhang, Jie Tan, Vikas Sindhwani:
Data Efficient Reinforcement Learning for Legged Robots. - Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand:
Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass. - Wei Dai, Daniel Berleant:
Benchmarking Deep Learning Hardware and Frameworks: Qualitative Metrics. - Gewu Bu, Thanh Son Lam Nguyen, Maria Potop-Butucaru, Kim Thai:
HyperPubSub: Blockchain based Publish/Subscribe. - Gewu Bu, Wassim Hana, Maria Potop-Butucaru:
Metamorphic IOTA. - Federico Aschieri, Francesco A. Genco:
⅋ means Parallel: Multiplicative Linear Logic Proofs as Concurrent Functional Programs. - danah boyd:
Differential Privacy in the 2020 Decennial Census and the Implications for Available Data Products. - Hossein Mohammadi Rouzbahani, Abolfazl Rahimnejad, Hadis Karimipour:
Smart Households Demand Response Management with Micro Grid. - Paul Harrenstein, Marie-Louise Lackner, Martin Lackner:
A Mathematical Analysis of an Election System Proposed by Gottlob Frege. - Kirthi Shankar Sivamani:
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases. - Berk Gülmezoglu, Ahmad Moghimi, Thomas Eisenbarth, Berk Sunar:
FortuneTeller: Predicting Microarchitectural Attacks via Unsupervised Deep Learning. - Quan Hoang Nguyen, André Cronje, Michael Kong, Alex Kampa, George Samman:
StakeDag: Stake-based Consensus For Scalable Trustless Systems. - Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu:
Knowledge-aware Pronoun Coreference Resolution. - Shaoshuai Shi, Zhe Wang, Xiaogang Wang, Hongsheng Li:
Part-A2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud. - Marie Kubínová, Kirk M. Soodhalter:
Admissible and attainable convergence behavior of block Arnoldi and GMRES. - Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, André Barreto:
General non-linear Bellman equations. - Derek Weitzel:
Enabling Microsoft OneDrive Integration with HTCondor. - Bosu Choi, Andrew J. Christlieb, Yang Wang:
Multiscale High-Dimensional Sparse Fourier Algorithms for Noisy Data. - Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz:
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks. - Yu-Chuan Huang, I-No Liao, Ching-Hsuan Chen, Tsi-Ui Ik, Wen-Chih Peng:
TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications. - Raghav Lakhotia, Chandra Kanth Nagesh, Krishna Madgula:
Identifying Missing Component in the Bechdel Test Using Principal Component Analysis Method. - Mohamed Khalifa, Farah Magrabi, Blanca Gallego:
Developing an Evidence-Based Framework for Grading and Assessment of Predictive Tools for Clinical Decision Support. - Ahmed H. Hareedy, A. Robert Calderbank:
Asymmetric LOCO Codes: Constrained Codes for Flash Memories. - Santiago Badia, Alberto F. Martín, Eric Neiva, Francesc Verdugo:
A generic finite element framework on parallel tree-based adaptive meshes. - Qi Zhang, Zehra Sura, Ashish Kundu, Gong Su, Arun Iyengar, Ling Liu:
StackVault: Protection from Untrusted Functions. - Eric Mazumdar, Lillian J. Ratliff, Michael I. Jordan, S. Shankar Sastry:
Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings. - Junmei Zhong, William Li:
Predicting Customer Call Intent by Analyzing Phone Call Transcripts based on CNN for Multi-Class Classification. - A. M. El-Edkawy, M. A. El-Dosuky:
Modeling and Simulation of the Quadrtor Delivery System. - Anubrata Das, Kunjan Mehta, Matthew Lease:
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking. - Andreas Pels, Herbert De Gersem, Ruth V. Sabariego, Sebastian Schöps:
Multirate PWM balance method for the efficient field-circuit coupled simulation of power converters. - Hanqing Liu, Na Ruan, Joseph K. Liu:
Catfish Effect Between Internal and External Attackers: Being Semi-honest is Helpful. - Diego Marmsoler, Genc Blakqori:
APML: An Architecture Proof Modeling Language. - Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. - Alejandro Ranchal-Pedrosa, Vincent Gramoli:
Platypus: a Partially Synchronous Offchain Protocol for Blockchains. - Mingjie Tang, Yongyang Yu, Walid G. Aref, Ahmed R. Mahmood, Qutaibah M. Malluhi, Mourad Ouzzani:
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization. - Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Point-Voxel CNN for Efficient 3D Deep Learning. - Avinash Kulkarni:
Solving p-adic polynomial systems via iterative eigenvector algorithms. - Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac:
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning. - Stella Rose Biderman:
Neural Networks on Groups. - Hui Yu:
A K-means-based Multi-subpopulation Particle Swarm Optimization for Neural Network Ensemble. - Bita Sadeghinasr, Armin Akhavan, Qi Wang:
Estimating Commuting Patterns from High Resolution Phone GPS Data. - Ammar Alali, François P. Hamon, Bradley T. Mallison, Hamdi A. Tchelepi:
Finite-Volume Simulation of Capillary-Dominated Flow in Matrix-Fracture Systems using Interface Conditions. - Laura Jehl, Carolin Lawrence, Stefan Riezler:
Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. - Hongliang Dai, Yangqiu Song:
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision. - Vukosi Marivate, Tshephisho Sefara:
Improving short text classification through global augmentation methods. - Dongdong She, Yizheng Chen, Baishakhi Ray, Suman Jana:
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. - William B. Langdon, Westley Weimer, Christopher Steven Timperley, Oliver Krauss, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric M. Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An:
The State and Future of Genetic Improvement. - Igor Bjelakovic, Matthias Frey, Slawomir Stanczak:
Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem. - Guojun Zhang, Pascal Poupart, George Trimponias:
Comparing EM with GD in Mixture Models of Two Components. - Marc Lelarge, Léo Miolane:
Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting. - Fabian Kuhn:
Faster Deterministic Distributed Coloring Through Recursive List Coloring. - Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini:
Fine-Grained Continual Learning. - Carlos Rodríguez-Pardo, Hakan Bilen:
Personalised aesthetics with residual adapters. - Max Hopkins, Daniel M. Kane, Shachar Lovett:
The Power of Comparisons for Actively Learning Linear Classifiers. - Ilya Afanasyev, Manuel Mazzara, Subham Chakraborty, Nikita Zhuchkov, Aizhan Maksatbek, Mohamad Kassab, Salvatore Distefano:
Towards the Internet of Robotic Things: Analysis, Architecture, Components and Challenges. - Abhimanyu Dubey, Alex Pentland:
Thompson Sampling on Symmetric α-Stable Bandits. - Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar:
Graph Policy Gradients for Large Scale Robot Control. - George Stamatakis, Nikolaos Pappas, Apostolos Traganitis:
Control of Status Updates for Energy Harvesting Devices that Monitor Processes with Alarms. - An Yan, Bill Howe:
FairST: Equitable Spatial and Temporal Demand Prediction for New Mobility Systems. - Daniela Ganelin:
Differences in Online Course Usage and IP Geolocation Bias by Local Economic Profile. - James Watson, Tucker Hermans:
Assembly Planning by Subassembly Decomposition Using Blocking Reduction. - Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel:
Diverse Agents for Ad-Hoc Cooperation in Hanabi. - Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos:
The Advent of Technological Singularity: a Formal Metric. - Anastasia Antsiferova, Dmitriy L. Kulikov, Denis Kondranin, Dmitriy S. Vatolin:
Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE. - Pedro M. Fernandes, Francisco C. Santos, Manuel Lopes:
Norms for Beneficial A.I.: A Computational Analysis of the Societal Value Alignment Problem. - Angela Daly, Thilo Hagendorff, Li Hui, Monique Mann, Vidushi Marda, Ben Wagner, Wei Wang, Saskia Witteborn:
Artificial Intelligence Governance and Ethics: Global Perspectives. - Marc Roth, Philip Wellnitz:
Counting and Finding Homomorphisms is Universal for Parameterized Complexity Theory. - Yuwen Li:
Quasi-optimal adaptive mixed finite element methods for controlling natural norm errors. - Lev Gordeev:
Proof compression and NP versus PSPACE. Part 2. - M. Shabouei, K. B. Nakshatrala:
On numerical stabilization in modeling double-diffusive viscous fingering. - Sean Gonzales, Theresa Migler:
The Densest k Subgraph Problem in b-Outerplanar Graphs. - Konrad Weiss, Julian Schütte:
Annotary: A Concolic Execution System for Developing Secure Smart Contracts. - Roman V. Yampolskiy:
Unexplainability and Incomprehensibility of Artificial Intelligence. - Ana Fernández del Río, Pei Pei Chen, África Periáñez:
Profiling Players with Engagement Predictions. - Fatima T. AL-Khawaldeh:
A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic. - Zydrunas Gimbutas, Nicholas F. Marshall, Vladimir Rokhlin:
A fast simple algorithm for computing the potential of charges on a line. - Enrico Cecini, Ernesto De Vito, Lorenzo Rosasco:
Multi-Scale Vector Quantization with Reconstruction Trees. - Beren Millidge:
Deep Active Inference as Variational Policy Gradients. - Tiago Machado, Daniel Gopstein, Andy Nealen, Julian Togelius:
Pitako - Recommending Game Design Elements in Cicero. - John Harwell, Maria L. Gini:
Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10, 000 Robot Swarm. - Hamidreza Ghader, Christof Monz:
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures. - Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng:
Variational Bayes' method for functions with applications to some inverse problems. - Mark Mossberg, Felipe Manzano, Eric Hennenfent, Alex Groce, Gustavo Grieco, Josselin Feist, Trent Brunson, Artem Dinaburg:
Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts. - Bao Xin Chen, John K. Tsotsos:
Fast Visual Object Tracking with Rotated Bounding Boxes. - Nikos Fotiou, Iakovos Pittaras, Vasilios A. Siris, Spyros Voulgaris, George C. Polyzos:
Secure IoT access at scale using blockchains and smart contracts. - Yulia Rubanova, Ricky T. Q. Chen, David Duvenaud:
Latent ODEs for Irregularly-Sampled Time Series. - Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gündüz:
Collaborative Machine Learning at the Wireless Edge with Blind Transmitters. - Attila A. Yavuz, Muslum Ozgur Ozmen:
Ultra Lightweight Multiple-time Digital Signature for the Internet of Things Devices. - Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell:
Towards Orientation Learning and Adaptation in Cartesian Space. - Matthew Brehmer, Bongshin Lee, Petra Isenberg, Eun Kyoung Choe:
A Comparative Evaluation of Animation and Small Multiples for Trend Visualization on Mobile Phones. - Tyler J. Gray, Christopher M. Danforth, Peter Sheridan Dodds:
Hahahahaha, Duuuuude, Yeeessss!: A two-parameter characterization of stretchable words and the dynamics of mistypings and misspellings. - Chulhee Yun, Suvrit Sra, Ali Jadbabaie:
Are deep ResNets provably better than linear predictors? - Jiangteng Li, Fei Wang:
Non-technical Loss Detection with Statistical Profile Images Based on Semi-supervised Learning. - Soichiro Murakami, Makoto Morishita, Tsutomu Hirao, Masaaki Nagata:
NTT's Machine Translation Systems for WMT19 Robustness Task. - Chenyi Zhang, Jun Pang:
Characterising Probabilistic Alternating Simulation for Concurrent Games. - Venkatesan Guruswami, Haotian Jiang:
Near-optimal Repair of Reed-Solomon Codes with Low Sub-packetization. - Hirokazu Chiba, Ryota Yamanaka, Shota Matsumoto:
Property Graph Exchange Format. - Zhen Mei, Kui Cai, Xuan He:
Deep Learning-Aided Dynamic Read Thresholds Design For Multi-Level-Cell Flash Memories. - Drew A. Hudson, Christopher D. Manning:
Learning by Abstraction: The Neural State Machine. - Jiahui Li, Zhiqiang Hu, Shuang Yang:
Accurate Nuclear Segmentation with Center Vector Encoding. - Tae Min Lee, Young-Jin Oh, In-Kwon Lee:
Efficient Cloth Simulation using Miniature Cloth and Upscaling Deep Neural Networks. - Jiahui Li, Shuang Yang, Xiaodi Huang, Qian Da, Xiaoqun Yang, Zhiqiang Hu, Qi Duan, Chaofu Wang, Hongsheng Li:
Signet Ring Cell Detection With a Semi-supervised Learning Framework. - Xiaomei Yang, Zhiliang Deng:
Bayesian approach for inverse obstacle scattering with Poisson data. - Changjoo Nam, Jinhwi Lee, Younggil Cho, Jeongho Lee, Dong Hwan Kim, ChangHwan Kim:
Planning for target retrieval using a robotic manipulator in cluttered and occluded environments. - Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng:
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster. - Xinshuo Weng, Kris Kitani:
A Baseline for 3D Multi-Object Tracking. - Taiki Yamae, Naoki Takeuchi, Nobuyuki Yoshikawa:
Systematic method to evaluate energy dissipation in adiabatic quantum-flux-parametron logic. - Brian Brubach, Nathaniel Grammel, Aravind Srinivasan:
Vertex-weighted Online Stochastic Matching with Patience Constraints. - Niranjan Kumar Kannabiran, Irfan Essa, C. Karen Liu:
Estimating Mass Distribution of Articulated Objects through Physical Interaction. - Hugo Germain, Guillaume Bourmaud, Vincent Lepetit:
Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization. - Abed Malti:
On the Exact Recovery Conditions of 3D Human Motion from 2D Landmark Motion with Sparse Articulated Motion. - Bin Yang, Aihui Zhou:
Eigenfunction Behavior and Adaptive Finite Element Approximations of Nonlinear Eigenvalue Problems in Quantum Physics. - Yo Nakawake, Kosuke Sato:
Systematic quantitative analyses reveal the folk-zoological knowledge embedded in folktales. - Mingyu Derek Ma, Kevin K. Bowden, JiaQi Wu, Wen Cui, Marilyn A. Walker:
Implicit Discourse Relation Identification for Open-domain Dialogues. - Daniel S. Brown, Wonjoon Goo, Scott Niekum:
Ranking-Based Reward Extrapolation without Rankings. - Xunhua Dai, Chenxu Ke, Quan Quan, Kai-Yuan Cai:
Simulation Credibility Assessment Methodology with FPGA-based Hardware-in-the-loop Platform. - Zhenyu Tang, Lianwu Chen, Bo Wu, Dong Yu, Dinesh Manocha:
Improving Reverberant Speech Training Using Diffuse Acoustic Simulation. - Chien-Chun Ni, Yu-Yao Lin, Feng Luo, Jie Gao:
Community Detection on Networks with Ricci Flow. - Mihai Herda, Michael Kirsten, Etienne Brunner, Joana Plewnia, Ulla Scheler, Chiara Staudenmaier, Benedikt Wagner, Pascal Zwick, Bernhard Beckert:
Understanding Counterexamples for Relational Properties with DIbugger. 6-13 - Qi Zhou, David Heath, William Harris:
Relational Verification via Invariant-Guided Synchronization. 28-41 - Daniel Dietsch, Matthias Heizmann, Jochen Hoenicke, Alexander Nutz, Andreas Podelski:
Ultimate TreeAutomizer (CHC-COMP Tool Description). 42-47 - Emanuele De Angelis, Fabio Fioravanti, Alberto Pettorossi, Maurizio Proietti:
Proving Properties of Sorting Programs: A Case Study in Horn Clause Verification. 48-75 - Ygor C. N. Sousa, Hansenclever de F. Bassani:
Incremental Semantic Mapping with Unsupervised On-line Learning. - Yury Zhauniarovich, Yazan Boshmaf, Husam Al Jawaheri, Mashael Al Sabah:
Characterizing Bitcoin donations to open source software on GitHub. - Anand Krishnamoorthy Subramanian, Nak Young Chong:
Mean Spectral Normalization of Deep Neural Networks for Embedded Automation. - Larissa A. Meinicke, Ian J. Hayes:
Handling localisation in rely/guarantee concurrency: An algebraic approach. - Peter Hviid Christiansen, Mikkel Fly Kragh, Yury Brodskiy, Henrik Karstoft:
UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor. - Peter Kritzer, Friedrich Pillichshammer, Leszek Plaskota, Grzegorz W. Wasilkowski:
On alternative quantization for doubly weighted approximation and integration over unbounded domains. - Ben Mussay, Samson Zhou, Vladimir Braverman, Dan Feldman:
On Activation Function Coresets for Network Pruning. - Zheng Li, Shi Shu:
SVGD: A Virtual Gradients Descent Method for Stochastic Optimization. - Yous van Halder, Benjamin Sanderse, Barry Koren:
PDE/PDF-informed adaptive sampling for efficient non-intrusive surrogate modelling. - Oliver Farnan, Alexander Darer, Joss Wright:
Analysing Censorship Circumvention with VPNs via DNS Cache Snooping. - Erwin Quiring, Matthias Kirchner, Konrad Rieck:
On the Security and Applicability of Fragile Camera Fingerprints. - Sean Bin Yang, Bin Yang:
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks. - Mai Gehrke, Tomas Jakl, Luca Reggio:
A duality theoretic view on limits of finite structures. - Benjamin Kiessling, Daniel Stökl Ben Ezra, Matthew Thomas Miller:
BADAM: A Public Dataset for Baseline Detection in Arabic-script Manuscripts. - Anjith George, Sébastien Marcel:
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection. - Olegs Nikisins, Anjith George, Sébastien Marcel:
Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing. - Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, Simon See:
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention. - Daniele Gravina, Ahmed Khalifa, Antonios Liapis, Julian Togelius, Georgios N. Yannakakis:
Procedural Content Generation through Quality Diversity. - Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella, Nematollah Bidokhti:
How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform. - Xiaoxiang Zhang, Hao Fu, Bin Dai:
Lidar-based Object Classification with Explicit Occlusion Modeling. - Peter O. Fasogbon:
Depth from Small Motion using Rank-1 Initialization. - Alpha Renner, Matthew Evanusa, Yulia Sandamirskaya:
Event-based attention and tracking on neuromorphic hardware. - Chandra Sekhar Vorugunti, Anoushka Doctor, Prerana Mukherjee, Viswanath Pulabaigari:
A Light weight and Hybrid Deep Learning Model based Online Signature Verification. - Apostolos I. Rikos, Christoforos N. Hadjicostis:
Distributed Integer Balancing under Weight Constraints in the Presence of Transmission Delays and Packet Drops. - Mohammad Abdulaziz, Kurt Mehlhorn, Tobias Nipkow:
Trustworthy Graph Algorithms. - S. Kozarcanin, R. Hanna, Iain Staffell, R. Gross, Gorm Bruun Andresen:
Impact of climate change on the cost optimal mix of decentralized heating in Europe. - Davide Marchese, Marco Coraggio, Stephen John Hogan, Mario di Bernardo:
Control of Painlevé Paradox in a Robotic System. - Udit Arora, William Scott Paka, Tanmoy Chakraborty:
Multitask Learning for Blackmarket Tweet Detection. - Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution. - Takanori Maehara, Yutaro Yamaguchi:
Stochastic Monotone Submodular Maximization with Queries. - Soh Kumabe, Takanori Maehara:
PTAS and Exact Algorithms for r-Gathering Problems on Tree. - Soh Kumabe, Takanori Maehara:
r-Gather Clustering and r-Gathering on Spider: FPT Algorithms and Hardness. - Raúl Murillo Montero, Alberto A. Del Barrio, Guillermo Botella:
Template-Based Posit Multiplication for Training and Inferring in Neural Networks. - Chunsheng Liu, Hong Shan, Chunlei Chen:
Tensor p-shrinkage nuclear norm for low-rank tensor completion. - Pavel Rojtberg, Arjan Kuijper:
Efficient Pose Selection for Interactive Camera Calibration. - Farzaneh Nasresfahani, Mohammad Reza Eslahchi:
Error analysis of finite difference/collocation method for the nonlinear coupled parabolic free boundary problem modeling plaque growth in the artery. - Simon D. Duque Antón, Daniel Fraunholz, Hans Dieter Schotten:
Using Temporal and Topological Features for Intrusion Detection in Operational Networks. - Markus Kluge, Tim Weyrich, Andreas Kolb:
Progressive Refinement Imaging. - Pavel Rojtberg, Felix Gorschlüter:
calibDB: enabling web based computer vision through on-the-fly camera calibration. - Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl:
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. - Junming Huang, Alexander J. Gates, Roberta Sinatra, Albert-László Barabási:
Historical comparison of gender inequality in scientific careers across countries and disciplines. - Pavel Rojtberg:
User Guidance for Interactive Camera Calibration. - Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
On the Semantic Interpretability of Artificial Intelligence Models. - Katarína Furmanová, Adam Jurcík, Barbora Kozlíková, Helwig Hauser, Jan Byska:
Multiscale Visual Drilldown for the Analysis of Large Ensembles of Multi-Body Protein Complexes. - S. Ali A. Moosavian, Mahdi Nabipour, Farshid Absalan, Vahdi Akbari:
RoboWalk: Explicit Augmented Human-Robot Dynamics Modeling for Design Optimization. - Jan Glaubitz:
Shock Capturing by Bernstein Polynomials for Scalar Conservation Laws. - Ahmadreza Mahmoudzadeh, Sayna Firoozi Yeganeh, Amir Golroo:
3D pavement surface reconstruction using an RGB-D sensor. - Gavin Abercrombie, Riza Batista-Navarro:
Sentiment and position-taking analysis of parliamentary debates: A systematic literature review. - Svein Høgemo, Jan Arne Telle, Erlend Raa Vågset:
Linear MIM-Width of Trees. - David G. Wonnacott, Peter-Michael Osera:
A Bridge Anchored on Both Sides: Formal Deduction in Introductory CS, and Code Proofs in Discrete Math. - James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson:
The What-If Tool: Interactive Probing of Machine Learning Models. - Huibo Bi, Erol Gelenbe:
Emergency Management Systems and Algorithms: a Comprehensive Survey. - Fredrik D. Johansson, Dennis Wei, Michael Oberst, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney:
Characterization of Overlap in Observational Studies. - Yijie Li, Jing Chen, Bernie Liu:
To save the Environmental degradation: Please pay for ecosystem services! - Francesc Wilhelmi, Sergio Barrachina-Muñoz, Cristina Cano, Ioannis Selinis, Boris Bellalta:
Spatial Reuse in IEEE 802.11ax WLANs. - Zhengguang Liu:
Energy stable schemes for gradient flows based on novel auxiliary variable with energy bounded above. - Fatima T. AL-Khawaldeh:
Answer Extraction for Why Arabic Questions Answering Systems: EWAQ. - Chong Peng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Nonnegative Matrix Factorization with Local Similarity Learning. - Adam Gabriel Dobrakowski, Agnieszka Mykowiecka, Malgorzata Marciniak, Wojciech Jaworski, Przemyslaw Biecek:
Clustering of Medical Free-Text Records Based on Word Embeddings. - Hao Xu:
EU H2020 Gauss project. Geo-Fencing Software System. - Mehmet Aydar, Salih Cemil Cetin, Serkan Ayvaz, Betül Aygün:
Private key encryption and recovery in blockchain. - N. Joshi:
Learning in Competitive Network with Haeusslers Equation adapted using FIREFLY algorithm. - Yasushi Kawase, Atsushi Iwasaki:
Approximately Stable Matchings with General Constraints. - Guodong Zhang, Lala Li, Zachary Nado, James Martens, Sushant Sachdeva, George E. Dahl, Christopher J. Shallue, Roger B. Grosse:
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model. - Per Austrin, Aleksa Stankovic:
Global Cardinality Constraints Make Approximating Some Max-2-CSPs Harder. - Doulaye Dembélé:
A method for computing the Perron-Frobenius root for primitive matrices. - Nabil Boumedine, Sadek Bouroubi:
A new hybrid genetic algorithm for protein structure prediction on the 2D triangular lattice. - Philip Feldman, Aaron Dant, Wayne G. Lutters:
Belief places and spaces: Mapping cognitive environments. - Yuhang Ding, Hehe Fan, Mingliang Xu, Yi Yang:
Adaptive Exploration for Unsupervised Person Re-Identification. - Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong:
Attending to Emotional Narratives. - Jennifer J. Gago, Valentina Vasco, Bartek Lukawski, Ugo Pattacini, Vadim Tikhanoff, Juan G. Victores, Carlos Balaguer:
Sequence-to-Sequence Natural Language to Humanoid Robot Sign Language. - Alihan Hüyük, Cem Tekin:
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. - Masashi Okada, Tadahiro Taniguchi:
Variational Inference MPC for Bayesian Model-based Reinforcement Learning. - Radoslav Paulen, Miroslav Fikar:
Dynamic Real-time Optimization of Batch Processes using Pontryagin's Minimum Principle and Set-membership Adaptation. - Boris Belousov, Jan Peters:
Entropic Regularization of Markov Decision Processes. - Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. - Yiannis Giannakopoulos, Diogo Poças, Alexandros Tsigonias-Dimitriadis:
Robust Revenue Maximization Under Minimal Statistical Information. - Yonatan Belinkov, Ahmed Ali, James R. Glass:
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition. - Michael S. Bullock, Christos N. Gagatsos, Saikat Guha, Boulat A. Bash:
Fundamental limits of quantum-secure covert communication over bosonic channels. - Thomas Roy, Tom B. Jönsthövel, Christopher Lemon, Andrew J. Wathen:
A constrained pressure-temperature residual (CPTR) method for non-isothermal multiphase flow in porous media. - Sebastian U. Stich:
Unified Optimal Analysis of the (Stochastic) Gradient Method. - Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama:
Contextual One-Class Classification in Data Streams. - Philip Schniter:
A Simple Derivation of AMP and its State Evolution via First-Order Cancellation. - Yurong Chen, Hongfa Xue, Tian Lan, Guru Venkataramani:
CHOP: Bypassing Runtime Bounds Checking Through Convex Hull OPtimization. - Olivier Bodini, Matthieu Dien, Antoine Genitrini, Frédéric Peschanski:
The Combinatorics of Barrier Synchronization. - Arian Akhavan Niaki, Shinyoung Cho, Zachary Weinberg, Nguyen Phong Hoang, Abbas Razaghpanah, Nicolas Christin, Phillipa Gill:
ICLab: A Global, Longitudinal Internet Censorship Measurement Platform. - Laurent Gomez, Marcus Wilhelm, José Márquez, Patrick Duverger:
Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection. - Zhiyan Ding, Lukas Einkemmer, Qin Li:
Error analysis of an asymptotic preserving dynamical low-rank integrator for the multi-scale radiative transfer equation. - Melanie Beckerleg, Andrew Thompson:
A divide-and-conquer algorithm for binary matrix completion. - Niklas Hahn, Martin Hoefer, Rann Smorodinsky:
The Secretary Recommendation Problem. - Qilei Li, Zhen Li, Lu Lu, Gwanggil Jeon, Kai Liu, Xiaomin Yang:
Gated Multiple Feedback Network for Image Super-Resolution. - Yuezheng Gong, Jia Zhao, Qi Wang:
Arbitrarily High-order Unconditionally Energy Stable Schemes for Gradient Flow Models Using the Scalar Auxiliary Variable Approach. - Majid Farzaneh, Rahil Mahdian Toroghi:
Melody Generation using an Interactive Evolutionary Algorithm. - Ákos Hajdu, Dejan Jovanovic:
solc-verify: A Modular Verifier for Solidity Smart Contracts. - Janaki Sheth, Ariel Tankus, Michelle Tran, Nader Pouratian, Itzhak Fried, William Speier:
Translating neural signals to text using a Brain-Machine Interface. - Shuai Ma, Jia Yuan Yu, Ahmet Satir:
A Scheme for Dynamic Risk-Sensitive Sequential Decision Making. - Sergio Pérez-Roca, Julien Marzat, Emilien Flayac, Hélène Piet-Lahanier, Nicolas Langlois, François Farago, Marco Galeotta, Serge Le Gonidec:
An MPC Approach to Transient Control of Liquid-Propellant Rocket Engines. - Xue Chen, Anindya De:
Reconstruction under outliers for Fourier-sparse functions. - Seonguk Seo, Yumin Suh, Dongwan Kim, Jongwoo Han, Bohyung Han:
Learning to Optimize Domain Specific Normalization for Domain Generalization. - Víctor Gallego-Fontenla, Juan Carlos Vidal, Manuel Lama:
A Conformance Checking-based Approach for Drift Detection in Business Processes. - Takanori Maehara, So Nakashima, Yutaro Yamaguchi:
Multiple Knapsack-Constrained Monotone DR-Submodular Maximization on Distributive Lattice - Continuous Greedy Algorithm on Median Complex -. - Aruni Choudhary, Wolfgang Mulzer:
No-dimensional Tverberg Theorems and Algorithms. - William R. Kearns, Wilson Lau, Jason A. Thomas:
UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference. - Thomas Parmer, Yong-Yeol Ahn:
Evolution of the Informational Complexity of Contemporary Western Music. - Siddharth Gururani, Mohit Sharma, Alexander Lerch:
An Attention Mechanism for Musical Instrument Recognition. - (Withdrawn) Better Sample - Random Subset Sum in 20.255n and its Impact on Decoding Random Linear Codes.
- Pedro F. Proença, Yang Gao:
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering. - Mustafa A. Kishk, Ahmed Bader, Mohamed-Slim Alouini:
On the 3-D Placement of Airborne Base Stations Using Tethered UAVs. - Saeid Sahraei, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Interactive Verifiable Polynomial Evaluation. - Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernández Ábrego, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Multilingual Universal Sentence Encoder for Semantic Retrieval. - Boyi Li, Felix Wu, Kilian Q. Weinberger, Serge J. Belongie:
Positional Normalization. - Anjith George:
Image based Eye Gaze Tracking and its Applications. - Daniel Fried, Nikita Kitaev, Dan Klein:
Cross-Domain Generalization of Neural Constituency Parsers. - Nicholas Meade, Nicholas Barreyre, Scott C. Lowe, Sageev Oore:
Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls. - Jui-Yi Wu, Jonghyun Kim:
Prescription AR: A Fully-Customized Prescription-Embedded Augmented Reality Display. - Wei-Ning Hsu, David F. Harwath, James R. Glass:
Transfer Learning from Audio-Visual Grounding to Speech Recognition. - Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness:
Making Study Populations Visible through Knowledge Graphs. - Tatsuro Kawamoto, Takaaki Aoki:
Democratic summary of public opinions in free-response surveys. - Michael Burke, Yordan Hristov, Subramanian Ramamoorthy:
Hybrid system identification using switching density networks. - Zixing Wang, Nikolaos Papanikolopoulos:
Fast Estimating Pedestrian Moving State Based on Single 2D Body Pose by Shallow Neural Network. - Yang Yang:
BASN - Learning Steganography with Binary Attention Mechanism. - Tovohery Hajatiana Randrianarisoa:
A Geometric Approach to Rank Metric Codes and a Classification of Constant Weight Codes. - Shuang Ma, Daniel McDuff, Yale Song:
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention. - Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush:
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. - Xi Chen, Amit Levi, Erik Waingarten:
Nearly optimal edge estimation with independent set queries. - Joshua Brakensiek, Venkatesan Guruswami:
Symmetric Polymorphisms and Efficient Decidability of Promise CSPs. - Guillaume Ducoffe, Michel Habib, Laurent Viennot:
Diameter computation on H-minor free graphs and graphs of bounded (distance) VC-dimension. - Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush:
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. - Frédéric Magoulès, Qinmeng Zou:
A Novel Contactless Human Machine Interface based on Machine Learning. - James P. Bailey, Gauthier Gidel, Georgios Piliouras:
Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent. - Frédéric Magoulès, Qinmeng Zou:
GPU Accelerated Contactless Human Machine Interface for Driving Car. - Payam Ghassemi, David DePauw, Souma Chowdhury:
Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response. - Payam Ghassemi, Souma Chowdhury:
Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search. - Yiling Chen, Haifeng Xu, Shuran Zheng:
Selling Information Through Consulting. - Ivan A. Bochkov, Alex Davydow, Nikita Gaevoy, Sergey I. Nikolenko:
New Competitiveness Bounds for the Shared Memory Switch. - Riccardo Colini-Baldeschi, Julián Mestre, Okke Schrijvers, Christopher A. Wilkens:
The Ad Types Problem. - Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore:
Polynomial Linear System Solving with Errors by Simultaneous Polynomial Reconstruction of Interleaved Reed-Solomon Codes. - Sonali Patil, Bharath Comandur, Tanmay Prakash, Avinash C. Kak:
A New Stereo Benchmarking Dataset for Satellite Images. - Tatiana Starikovskaya, Michal Svagerka, Przemyslaw Uznanski:
Lp Pattern Matching in a Stream. - Priyanka Mukhopadhyay:
Faster provable sieving algorithms for the Shortest Vector Problem and the Closest Vector Problem on lattices in 𝓁p norm. - (Withdrawn) Sentiment Analysis Challenges in Persian Language.
- Curtis Bright, Ilias S. Kotsireas, Vijay Ganesh:
SAT Solvers and Computer Algebra Systems: A Powerful Combination for Mathematics. - Brendon G. Anderson, Somayeh Sojoudi:
Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation. - Chandra Chekuri, Kent Quanrud, Zhao Zhang:
On Approximating Partial Set Cover and Generalizations. - Pasqua D'Ambra, Panayot S. Vassilevski:
Improving Solve Time of aggregation-based adaptive AMG. - Anne Driemel, Ioannis Psarros, Melanie Schmidt:
Sublinear data structures for short Fréchet queries. - Md. Kamrul Hasan, Tajwar Abrar Aleef:
Automatic Mass Detection in Breast Using Deep Convolutional Neural Network and SVM Classifier. - Kyle Fox, Jiashuai Lu:
A near-linear time approximation scheme for geometric transportation with real supplies. - Nikhil Chawla, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay:
Application Inference using Machine Learning based Side Channel Analysis. - Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. - Fabio Miranda, Harish Doraiswamy, Marcos Lage, Luc Wilson, Mondrian Hsieh, Cláudio T. Silva:
Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time. - Julien Baste, Ignasi Sau, Dimitrios M. Thilikos:
Hitting minors on bounded treewidth graphs. IV. An optimal algorithm. - David Griffiths, Jan Boehm:
A review on deep learning techniques for 3D sensed data classification. - Travis Mandel, Jahnu Best, Randall H. Tanaka, Hiram Temple, Chansen Haili, Kayla Schlechtinger, Roy Szeto:
Let's Keep It Safe: Designing User Interfaces that Allow Everyone to Contribute to AI Safety. - Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Zhifeng Chen, R. J. Skerry-Ryan, Ye Jia, Andrew Rosenberg, Bhuvana Ramabhadran:
Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning. - Zelun Kong, Cong Liu:
Generating Adversarial Fragments with Adversarial Networks for Physical-world Implementation. - Neng Huang, Aaron Potechin:
On the Approximability of Presidential Type Predicates. - Utsav Banerjee, Andrew Wright, Chiraag Juvekar, Madeleine Waller, Arvind, Anantha P. Chandrakasan:
An Energy-Efficient Reconfigurable DTLS Cryptographic Engine for Securing Internet-of-Things Applications. - Nicholas Collins, Hanna Kurniawati:
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics. - Przemyslaw Biecek:
Model Development Process. - Jihyun Park, Kexin Zhao, Kainan Peng, Wei Ping:
Multi-Speaker End-to-End Speech Synthesis. - Nathan Brugnone, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn, Smita Krishnaswamy:
Coarse Graining of Data via Inhomogeneous Diffusion Condensation. - Jianchao Bai, Ke Guo, Xiaokai Chang:
A family of multi-parameterized proximal point algorithms. - Richard Savery, Benjamin Genchel, Jason Smith, Anthony Caulkins, Molly Jones, Anna Savery:
Learning from History: Recreating and Repurposing Sister Harriet Padberg's Computer Composed Canon and Free Fugue. - Manas R. Joglekar, Cong Li, Jay K. Adams, Pranav Khaitan, Quoc V. Le:
Neural Input Search for Large Scale Recommendation Models. - Suyun Liu, Luís Nunes Vicente:
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning. - Kwang Soon Kim, Dong Ku Kim, Chan-Byoung Chae, Sunghyun Choi, Young-Chai Ko, Jonghyun Kim, Yeon-Geun Lim, Minho Yang, Sundo Kim, Byungju Lim, Kwanghoon Lee, Kyung Lin Ryu:
Ultrareliable and Low-Latency Communication Techniques for Tactile Internet Services. - Xiangteng He, Yuxin Peng, Liu Xie:
A New Benchmark and Approach for Fine-grained Cross-media Retrieval. - Jonghyun Kim, Kyung Lin Ryu, Kwang Soon Kim:
User Detection Performance Analysis for Grant-Free Uplink Transmission in Large-Scale Antenna Systems. - (Withdrawn) Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks.
- Roy S. Freedman:
Copula Representations and Error Surface Projections for the Exclusive Or Problem. - Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono:
Co-training for Policy Learning. - Itai Ashlagi, Anilesh K. Krishnaswamy, Rahul Makhijani, Daniela Sabán, Kirankumar Shiragur:
Assortment planning for two-sided sequential matching markets. - Minkesh Asati, Taizo Miyachi:
A Short Virtual Reality Mindfulness Meditation Training For Regaining Sustained Attention. - Michael Lutter, Kim Listmann, Jan Peters:
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems. - Michael Lutter, Christian Ritter, Jan Peters:
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning. - Juan Manuel Pérez, Damián E. Aleman, Santiago N. Kalinowski, Agustín Gravano:
Exploiting user-frequency information for mining regionalisms from Social Media texts. - Shuchang Yan:
Controlling Power and Virtual Inertia from Storage for Frequency Response. - Rahul Vaze, Jayakrishnan Nair:
Speed Scaling with Tandem Servers. - Lu Lu, Xuhui Meng, Zhiping Mao, George E. Karniadakis:
DeepXDE: A deep learning library for solving differential equations. - Huda Nassar, Austin R. Benson, David F. Gleich:
Pairwise Link Prediction. - Hossein Pourmeidani, Mehdi Habibi:
A Range Matching CAM for Hierarchical Defect Tolerance Technique in NRAM Structures. - Xin Huang, Pinyan Lu:
An algorithmic framework for approximating maximin share allocation of chores. - Xing Liu, Masanori Suganuma, Takayuki Okatani:
Joint Learning of Multiple Image Restoration Tasks. - Taihei Oki:
Improved Structural Methods for Nonlinear Differential-Algebraic Equations via Combinatorial Relaxation. - Taihei Oki:
Computing the Maximum Degree of Minors in Skew Polynomial Matrices. - Tianming Wang, Wenjie Lu, Zheng Yan, Dikai Liu:
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances. - Andrey V. Savchenko, Kirill V. Demochkin, Ivan S. Grechikhin:
User Preference Prediction in Visual Data on Mobile Devices. - Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference. - Dooseop Choi, Kyoungwook Min, Jeongdan Choi:
Regularizing Neural Networks for Future Trajectory Prediction via Inverse Reinforcement Learning. - Subit K. Jain, Sudeb Majee, Rajendra K. Ray, Ananta K. Majee:
Analysis and Simulation of a Coupled Diffusion based Image Denoising Model. - Pamela Bilo Thomas, Rachel Krohn, Tim Weninger:
Dynamics of Team Library Adoptions: An Exploration of GitHub Commit Logs. - Amanda Askell, Miles Brundage, Gillian K. Hadfield:
The Role of Cooperation in Responsible AI Development. - Ruisen Luo, Tianran Sun, Chen Wang, Miao Du, Zuodong Tang, Kai Zhou, Xiaofeng Gong, Xiaomei Yang:
Multi-layer Attention Mechanism for Speech Keyword Recognition. - Ali Marjaninejad, Darío Urbina-Meléndez, Francisco J. Valero Cuevas:
Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven Systems. - Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi:
Striving for Simplicity in Off-policy Deep Reinforcement Learning. - Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning to Reason with Relational Video Representation for Question Answering. - Jakapong Klainongsuang, Yusuf Sulistyo Nugroho, Hideaki Hata, Bundit Manaskasemsak, Arnon Rungsawang, Pattara Leelaprute, Kenichi Matsumoto:
Identifying Algorithm Names in Code Comments. - Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman:
Deep Multi Label Classification in Affine Subspaces. - Jules Vidal, Joseph Budin, Julien Tierny:
Progressive Wasserstein Barycenters of Persistence Diagrams. - Markus Amend, Eckard Bogenfeld, Milan Cvjetkovic, Veselin Rakocevic, Marcus Pieskä, Andreas Kassler, Anna Brunström:
A Framework for Multiaccess Support for Unreliable Internet Traffic using Multipath DCCP. - Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation. - Nicolas Keukeleire, Benjamin Hesmans, Olivier Bonaventure:
Increasing broadband reach withHybrid Access Networks. - Yujia Huang, Sihui Dai, Tan M. Nguyen, Richard G. Baraniuk, Anima Anandkumar:
Out-of-Distribution Detection Using Neural Rendering Generative Models. - Maria Chudnovsky, Marcin Pilipczuk, Michal Pilipczuk, Stéphan Thomassé:
Quasi-polynomial time approximation schemes for the Maximum Weight Independent Set Problem in H-free graphs. - Miles Macklin, Kenny Erleben, Matthias Müller, Nuttapong Chentanez, Stefan Jeschke, Viktor Makoviychuk:
Non-Smooth Newton Methods for Deformable Multi-Body Dynamics. - Tianxiu Yu, Shijie Zhang, Cong Lin, Shaodi You, Jian Wu, Jiawan Zhang, Xiaohong Ding, Huili An:
Dunhuang Grottoes Painting Dataset and Benchmark. - Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov, Alexander Scherbatiy:
Differentiable Probabilistic Logic Networks. - Yuanzhi Li, Colin Wei, Tengyu Ma:
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks. - Bhaskar Ray Chaudhury, Telikepalli Kavitha, Kurt Mehlhorn, Alkmini Sgouritsa:
A Little Charity Guarantees Almost Envy-Freeness. - Fan Li, Jinyuan Chen:
Adding Common Randomness Can Remove the Secrecy Constraints in Communication Networks. - Emil Løvbak, Giovanni Samaey, Stefan Vandewalle:
A multilevel Monte Carlo method for asymptotic-preserving particle schemes. - Jan Seeger, Arne Bröring, Georg Carle:
Optimally Self-Healing IoT Choreographies. - Jindrich Libovický:
Neural Networks as Explicit Word-Based Rules. - Sebastian Hofstätter, Allan Hanbury:
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects. - Mohammad Hasan Yeganegi, Majid Khadiv, S. Ali A. Moosavian, Jia-Jie Zhu, Andrea Del Prete, Ludovic Righetti:
Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning. - Franck Burlot:
Lingua Custodia at WMT'19: Attempts to Control Terminology. - Matteo Bonini, Martino Borello:
Minimal linear codes arising from blocking sets. - Thijs Laarhoven:
Polytopes, lattices, and spherical codes for the nearest neighbor problem. - Thijs Laarhoven:
Evolutionary techniques in lattice sieving algorithms. - Thijs Laarhoven:
Approximate Voronoi cells for lattices, revisited. - Wei Peng, Xiaopeng Hong, Guoying Zhao:
Video Action Recognition Via Neural Architecture Searching. - Adrià Arbués Sangüesa, Gloria Haro, Coloma Ballester:
Multi-Person tracking by multi-scale detection in Basketball scenarios. - Dmitry Gavinsky, Pavel Pudlák:
Santha-Vazirani sources, deterministic condensers and very strong extractors. - Tobias Fechter, Dimos Baltas:
One Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking. - Julie Bu Daher, Armelle Brun, Anne Boyer:
Multi-source Relations for Contextual Data Mining in Learning Analytics. - Ching-Sung Liu:
A positivity preserving iterative method for finding the ground states of saturable nonlinear Schrödinger equations. - Ivor van der Hoog, Tillmann Miltzow, Martijn van Schaik:
Smoothed Analysis of Order Types. - Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos:
EPNAS: Efficient Progressive Neural Architecture Search. - Stuart M. Marshall, Douglas G. Moore, Alastair R. G. Murray, Sara Imari Walker, Leroy Cronin:
Quantifying the pathways to life using assembly spaces. - Weiwen Jiang, Lei Yang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Shouzhen Gu, Yiyu Shi, Jingtong Hu:
Hardware/Software Co-Exploration of Neural Architectures. - Brendan Bennett, Wesley Chung, Muhammad Zaheer, Vincent Liu:
Incrementally Learning Functions of the Return. - Hongyang Gao, Shuiwang Ji:
Graph Representation Learning via Hard and Channel-Wise Attention Networks. - Jeffrey Barratt, Chuanbo Pan:
Playing Go without Game Tree Search Using Convolutional Neural Networks. - Ravi Kashyap:
Artificial Intelligence: A Child's Play. - Sabrina Mantaci, Antonio Restivo, Giuseppe Romana, Giovanna Rosone, Marinella Sciortino:
String Attractors and Combinatorics on Words. - Mirco Mutti, Marcello Restelli:
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies. - Paul Compagnon, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia:
Routine Modeling with Time Series Metric Learning. - Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Li Li, Zhaojie Liu, Yanlong Du:
Click-Through Rate Prediction with the User Memory Network. - Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin:
Optimal Explanations of Linear Models. - Larkin Liu, Yu-Chung Lin, Joshua Reid:
Improving the Performance of the LSTM and HMM Models via Hybridization. - Sören Dittmer, Peter Maass:
A Projectional Ansatz to Reconstruction. - Maurice Margenstern:
About Fibonacci trees. II - generalized Fibonacci trees. - Javier Navarro, Christian Wagner:
Measuring Inter-group Agreement on zSlice Based General Type-2 Fuzzy Sets. - Fabio Muratore, Michael Gienger, Jan Peters:
Assessing Transferability from Simulation to Reality for Reinforcement Learning. - Ravin Kumar:
A Theoretical Model For Artificial Learning, Memory Management And Decision Making System. - Andrey Krekhov, Sebastian Cmentowski, Andre Waschk, Jens H. Krüger:
Deadeye Visualization Revisited: Investigation of Preattentiveness and Applicability in Virtual Environments. - Hao Chen, Lu Wang, Senzhang Wang, Dijun Luo, Wenbing Huang, Zhoujun Li:
Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention. - Bernhard K. Aichernig, Roderick Bloem, Masoud Ebrahimi, Martin Horn, Franz Pernkopf, Wolfgang Roth, Astrid Rupp, Martin Tappler, Markus Tranninger:
Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version). - Oleg Arenz, Mingjun Zhong, Gerhard Neumann:
Trust-Region Variational Inference with Gaussian Mixture Models. - Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak:
Data-driven Policy on Feasibility Determination for the Train Shunting Problem. - Riccardo Aragona, Francesca Marzi, Filippo Mignosi, Matteo Spezialetti:
Entropy and Compression: A simple proof of an inequality of Khinchin-Ornstein-Shields. - Fuyuan Xiao:
Generalized Belief Function: A new concept for uncertainty modelling and processing. - Firas Jarboui, Célya Gruson-Daniel, Alain Durmus, Vincent Rocchisani, Sophie-Helene Goulet Ebongue, Anneliese Depoux, Wilfried Kirschenmann, Vianney Perchet:
Markov Decision Process for MOOC users behavioral inference. - Marzieh Eidi, Jürgen Jost:
Ollivier Ricci Curvature of Directed Hypergraphs. - Congcong Liu, Yuying Chen, Lei Tai, Ming Liu, Bertram E. Shi:
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments. - Andrey Krekhov, Michael Michalski, Jens H. Krüger:
Integrating Visualization Literacy into Computer Graphics Education Using the Example of Dear Data. - Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu:
Coresets for Clustering in Graphs of Bounded Treewidth. - Sneha Aenugu, Lee Spector:
Lexicase selection in Learning Classifier Systems. - Christoph Anderson, Judith Simone Heinisch, Sandra Ohly, Klaus David, Veljko Pejovic:
The Impact of Private and Work-Related Smartphone Usage on Interruptibility. - Mengjing Chen, Pingzhong Tang, Zihe Wang, Shenke Xiao, Xiwang Yang:
Optimal mechanisms with budget for user generated contents. - Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun:
Modeling Semantic Compositionality with Sememe Knowledge. - Monika Henzinger, Pan Peng:
Constant-Time Dynamic (Δ+1)-Coloring and Weight Approximation for Minimum Spanning Forest: Dynamic Algorithms Meet Property Testing. - Martin Dietzfelbinger, Stefan Walzer:
Dense Peelable Random Uniform Hypergraphs. - Martin Dietzfelbinger, Stefan Walzer:
Efficient Gauss Elimination for Near-Quadratic Matrices with One Short Random Block per Row, with Applications. - Philip Bille, Inge Li Gørtz:
Sparse Regular Expression Matching. - David Griffiths, Jan Boehm:
SynthCity: A large scale synthetic point cloud. - Thomas Duboudin, Maxime Petit, Liming Chen:
Toward a Procedural Fruit Tree Rendering Framework for Image Analysis. - Luca Cavalli, Gianpaolo Di Pietro, Matteo Matteucci:
Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics. - Rohan Reddy Mekala, Gudjon Einar Magnusson, Adam A. Porter, Mikael Lindvall, Madeline Diep:
Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations. - Samuel Epstein:
On the Complexity of Completing Binary Predicates. - Amin Ahmad, Noah Constant, Yinfei Yang, Daniel Cer:
ReQA: An Evaluation for End-to-End Answer Retrieval Models. - Tong Ye, Jingjie Ding, Tony Tong Lee, Guido Maier:
AWG-based Nonblocking Shuffle-Exchange Networks. - Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang:
Fast Haar Transforms for Graph Neural Networks. - Rika Antonova, Akshara Rai, Tianyu Li, Danica Kragic:
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression. - Eman Abdullah AlOmar, Mohamed Wiem Mkaouer, Ali Ouni, Marouane Kessentini:
Do Design Metrics Capture Developers Perception of Quality? An Empirical Study on Self-Affirmed Refactoring Activities. - Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust:
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies. - Rathin Desai, Amit Sharma:
Quantifying Error in the Presence of Confounders for Causal Inference. - Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin, Sergey Zvezdakov:
Video Distortion Method for VMAF Quality Values Increasing. - Guillaume Chèze:
Cake cutting: Explicit examples for impossibility results. - Matteo Dell'Amico:
Scheduling With Inexact Job Sizes: The Merits of Shortest Processing Time First. - Holger Dell, John Lapinskas, Kitty Meeks:
Approximately counting and sampling small witnesses using a colourful decision oracle. - Mihai Budiu, Parikshit Gopalan, Lalith Suresh, Udi Wieder, Han Kruiger, Marcos K. Aguilera:
Hillview: A trillion-cell spreadsheet for big data. - Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le:
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. - Jiancong Wang, Long Xie, Paul A. Yushkevich, James C. Gee:
Barnes-Hut Approximation for Point SetGeodesic Shooting. - Jiancong Wang:
Fast geodesic shooting for landmark matching using CUDA. - Tim Dettmers, Luke Zettlemoyer:
Sparse Networks from Scratch: Faster Training without Losing Performance. - Dario Fasino, Francesco Tudisco:
Higher-order ergodicity coefficients. - Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad:
On Designing Machine Learning Models for Malicious Network Traffic Classification. - Philippe Chartier, Nicolas Crouseilles, Mohammed Lemou, Florian Méhats, Xiaofei Zhao:
Uniformly accurate methods for three dimensional Vlasov equations under strong magnetic field with varying direction. - Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley:
LakhNES: Improving multi-instrumental music generation with cross-domain pre-training. - Bjørn-Olav H. Eriksen, Morten Breivik:
Short-term ASV Collision Avoidance with Static and Moving Obstacles. - Xiaodong Cui, Michael Picheny:
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition. - David Abensur, Ivan Balashov, Shaked Bar, Ronny Lempel, Nurit Moscovici, Ilan Orlov, Danny Rosenstein, Ido Tamir:
Productization Challenges of Contextual Multi-Armed Bandits. - Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha:
Fully Convolutional Networks for Handwriting Recognition. - Tamal K. Dey, Tao Hou, Sayan Mandal:
Computing Minimal Persistent Cycles: Polynomial and Hard Cases. - Artur Strzelecki, Paulina Rutecka:
Featured Snippets Results in Google Web Search: An Exploratory Study. - Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning. - Yulun Tian, Kasra Khosoussi, Jonathan P. How:
A Resource-Aware Approach to Collaborative Loop Closure Detection with Provable Performance Guarantees. - Rogerio Bonatti, Arthur Gola de Paula:
Development of email classifier in Brazilian Portuguese using feature selection for automatic response. - Annika Thome, Matthias Walter:
The Almost-Disjoint 2-Path Decomposition Problem. - Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei:
Topic Modeling in Embedding Spaces. - Md. Monir Hossain, Nima Mahmoudi, Changyuan Lin, Hamzeh Khazaei, Abram Hindle:
Executability of Python Snippets in Stack Overflow. - Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt:
Explaining an increase in predicted risk for clinical alerts. - Wen-Bo Xie, Yan-Li Lee, Cong Wang, Duan-Bing Chen, Tao Zhou:
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors. - Lalitha Giridhar, Aishwarya Dharani, Velmathi Guruviah:
A Novel Approach to OCR using Image Recognition based Classification for Ancient Tamil Inscriptions in Temples. - Sanjoy Dasgupta, Stefanos Poulis, Christopher Tosh:
Interactive Topic Modeling with Anchor Words. - Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen:
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. - Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
GraphSAINT: Graph Sampling Based Inductive Learning Method. - Isaac Oscar Gariano, James Noble, Marco Servetto:
CallE: An Effect System for Method Calls. - Zexiang Liu, Necmiye Ozay:
Safety Control with Preview Automaton. - Marvin Bohm, Sven Schermeng, Andrew R. Winters, Gregor J. Gassner, Gustaaf B. Jacobs:
Multi-element SIAC filter for shock capturing applied to high-order discontinuous Galerkin spectral element methods. - Nishant Subramani, Samuel R. Bowman, Kyunghyun Cho:
Can Unconditional Language Models Recover Arbitrary Sentences? - Mika Hämäläinen, Khalid Al-Najjar:
Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns. - Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer:
Vision-and-Dialog Navigation. - Nicholas C. Landolfi, Garrett Thomas, Tengyu Ma:
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning. - Ye Yuan, Kris Kitani:
Diverse Trajectory Forecasting with Determinantal Point Processes. - Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
My lips are concealed: Audio-visual speech enhancement through obstructions. - Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang:
Agile Domain Adaptation. - Nair Maria Maia de Abreu, Cláudia Marcela Justel, Lilian Markenzon:
Integer Laplacian Eigenvalues of Chordal Graphs. - Xin Jin, Le Wu, Geng Zhao, Xiaodong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou:
Aesthetic Attributes Assessment of Images. - Yoshiki Masuyama, Masahito Togami, Tatsuya Komatsu:
Multichannel Loss Function for Supervised Speech Source Separation by Mask-based Beamforming. - Dengpan Ye, Shunzhi Jiang, Jiaqin Huang:
Heard More Than Heard: An Audio Steganography Method Based on GAN. - Curtis Bright, Dragomir Z. Dokovic, Ilias S. Kotsireas, Vijay Ganesh:
The SAT+CAS Method for Combinatorial Search with Applications to Best Matrices. - Hao Luo, Lichao Huang, Han Shen, Yuan Li, Chang Huang, Xinggang Wang:
Object Detection in Video with Spatial-temporal Context Aggregation. - Jeffrey M. Dudek, Vu H. N. Phan, Moshe Y. Vardi:
ADDMC: Exact Weighted Model Counting with Algebraic Decision Diagrams. - Chiwan Song, Woobin Im, Sung-Eui Yoon:
Two-stream Spatiotemporal Feature for Video QA Task. - Minchul Shin, Sanghyuk Park, Taeksoo Kim:
Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval. - Nima Dehmamy, Albert-László Barabási, Rose Yu:
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology. - Antonio Ginart, Melody Y. Guan, Gregory Valiant, James Zou:
Making AI Forget You: Data Deletion in Machine Learning. - Yuki Ito, Haruki Imai, Tung Le Duc, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo:
Profiling based Out-of-core Hybrid Method for Large Neural Networks. - Lin Sun, Jun Zhao, Xiaojun Ye, Shuo Feng, Teng Wang, Tao Bai:
Conditional Analysis for Key-Value Data with Local Differential Privacy. - Jing Li, Dongning Guo:
On Analysis of the Bitcoin and Prism Backbone Protocols. - Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George F. Foster, Colin Cherry, Wolfgang Macherey, Zhifeng Chen, Yonghui Wu:
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges. - Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li:
Optimal Feature Transport for Cross-View Image Geo-Localization. - (Withdrawn) Micro-expression Action Unit Detection withSpatio-temporal Adaptive Pooling.
- Siwar Jendoubi, Arnaud Martin:
Evidential positive opinion influence measures for viral marketing. - Ioana Leustean, Natalia Moanga, Traian-Florin Serbanuta:
From Hybrid Modal Logic to Matching Logic and back. 16-31 - Simina Brânzei, Nikhil R. Devanur, Yuval Rabani:
Proportional Dynamics in Exchange Economies. - David Zhao, Pavle Subotic, Bernhard Scholz:
Provenance for Large-scale Datalog. - Valentin Bazarevsky, Yury Kartynnik, Andrey Vakunov, Karthik Raveendran, Matthias Grundmann:
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs. - Corina Dima, Daniël de Kok, Neele Witte, Erhard W. Hinrichs:
No Word is an Island - A Transformation Weighting Model for Semantic Composition. - Michelangelo Bin, Pauline Bernard, Lorenzo Marconi:
Approximate Nonlinear Regulation via Identification-Based Adaptive Internal Models. - Dirk Gründing, Martin Smuda, T. Antritter, Mathis Fricke, Daniel Rettenmaier, Florian Kummer, P. Stephan, Holger Marschall, Dieter Bothe:
Capillary Rise - A Computational Benchmark for Wetting Processes. - Vladimir V. V'yugin:
Kolmogorov complexity in the USSR (1975-1982): isolation and its end. - Ximing Fu, Shenghao Yang, Zhiqing Xiao:
Recovery and Repair Schemes for Shift-XOR Regenerating Codes. - Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang:
FIRE: Unsupervised bi-directional inter-modality registration using deep networks. - Ming Ling, Jiancong Ge, Guangmin Wang:
Fast Modeling L2 Cache Reuse Distance Histograms Using Combined Locality Information from Software Traces. - Corto Mascle, Martin Zimmermann:
The Keys to Decidable HyperLTL Satisfiability: Small Models or Very Simple Formulas. - Tobias Rapp, Christoph Peters, Carsten Dachsbacher:
Void-and-Cluster Sampling of Large Scattered Data and Trajectories. - Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes:
Safe Policy Improvement with Soft Baseline Bootstrapping. - Aleksei Y. Kondratev, Egor Ianovski, Alexander S. Nesterov:
How should we score athletes and candidates: geometric scoring rules. - Xiaohui Bei, Xiaoming Sun, Hao Wu, Jialin Zhang, Zhijie Zhang, Wei Zi:
Cake Cutting on Graphs: A Discrete and Bounded Proportional Protocol. - Nikolai Ilinykh, Sina Zarrieß, David Schlangen:
MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment. - Jiahui Zhang, Hao Zhao, Anbang Yao, Yurong Chen, Li Zhang, Hongen Liao:
Efficient Semantic Scene Completion Network with Spatial Group Convolution. - Shizhe Chen, Yuqing Song, Yida Zhao, Qin Jin, Zhaoyang Zeng, Bei Liu, Jianlong Fu, Alexander G. Hauptmann:
Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos. - Anna Großwendt, Heiko Röglin, Melanie Schmidt:
Analysis of Ward's Method. - Andrei Mogage, Rafael Pires, Vlad Craciun, Emanuel Onica, Pascal Felber:
Supply chain malware targets SGX: Take care of what you sign. - Xiangyang Li, Luis Herranz, Shuqiang Jiang:
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition. - Kantubukta Vasu, Sudipta Mahapatra, C. S. Kumar:
Block Prefix Mechanism for Flow Mobility in PMIPv6 Based Networks. - Alessandro Betti, Marco Gori:
Spatiotemporal Local Propagation. - Max Frei, Frank Einar Kruis:
Image-Based Size Analysis of Agglomerated and Partially Sintered Particles via Convolutional Neural Networks. - Ivan Marsá-Maestre, José Manuel Giménez-Guzmán, David Orden, Enrique de la Hoz, Mark Klein:
REACT: REActive resilience for critical infrastructures using graph-Coloring Techniques. - Olivier Flückiger, Guido Chari, Jan Jecmen, Ming-Ho Yee, Jakob Hain, Jan Vitek:
R Melts Brains - An IR for First-Class Environments and Lazy Effectful Arguments. - Michele Boreale, Daniele Gorla:
Approximate Model Counting, Sparse XOR Constraints and Minimum Distance. - Weiming Zhi, Lionel Ott, Fabio Ramos:
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. - Stéphane Le Roux:
Time-aware uniformization of winning strategies. - Christoph Kinkeldey, Claudia Müller-Birn, Tom Gülenman, Jesse Josua Benjamin, Aaron Halfaker:
PreCall: A Visual Interface for Threshold Optimization in ML Model Selection. - Sílvia Barbeiro, Diogo Lobo:
Improved PDE Models for Image Restoration through Backpropagation. - Zhihao Gavin Tang, Xiaowei Wu, Yuhao Zhang:
Perturbed Greedy on Oblivious Matching Problems. - Lóránt Farkas, Tamás Kói:
Error Exponents for Asynchronous Multiple Access Channels. Controlled Asynchronism may Outperform Synchronism. - Melanie Lubrano di Scandalea, Christian S. Perone, Mathieu Boudreau, Julien Cohen-Adad:
Deep Active Learning for Axon-Myelin Segmentation on Histology Data. - Mathias Kraus, Stefan Feuerriegel:
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences. - (Withdrawn) Amplifying Rényi Differential Privacy via Shuffling.
- Marcus Hutter:
Fairness without Regret. - Chico Q. Camargo, Jonathan Bright, Graham McNeill, Sridhar Raman, Scott A. Hale:
Estimating Traffic Disruption Patterns with Volunteered Geographic Information. - Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Hanxiao Sun, Wenwu Ou:
Privileged Features Distillation for E-Commerce Recommendations. - Sean Tull:
Deriving Dagger Compactness. 181-195 - Dongfang Yang, Ümit Özgüner:
Combining Social Force Model with Model Predictive Control for Vehicle's Longitudinal Speed Regulation in Pedestrian-Dense Scenarios. - Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach:
A Neural Architecture for Designing Truthful and Efficient Auctions. - Rahif Kassab, Osvaldo Simeone, Petar Popovski:
Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs Cloud Detection and Learning. - Julia Kreutzer, Stefan Riezler:
Self-Regulated Interactive Sequence-to-Sequence Learning. - Kevin Lin, Lijuan Wang, Kun Luo, Yinpeng Chen, Zicheng Liu, Ming-Ting Sun:
Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation. - Francisco Yepes Barrera:
Eigen Artificial Neural Networks. - S. Yuva Kumar, Vanlin Sathya, Sreenath Ramanath:
Enhancing Spectral Utilization by Maximizing the Reuse in LTE Network. - Vidyasagar Sadhu, Sanjana Devaraj, Dario Pompili:
Towards Ultra-low-power Realization of Analog Joint Source-Channel Coding using MOSFETs. - Benjamin Genchel, Ashis Pati, Alexander Lerch:
Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs. - Changyang She, Yifan Duan, Guodong Zhao, Tony Q. S. Quek, Yonghui Li, Branka Vucetic:
Cross-layer Design for Mission-Critical IoT in Mobile Edge Computing Systems. - Artur L. F. Souza, Antonio A. F. Loureiro, Leonardo B. Oliveira:
Challenges and Directions for Authentication in Pervasive Computing. - Andrey Krekhov, Sebastian Cmentowski, Jens H. Krüger:
The Illusion of Animal Body Ownership and Its Potential for Virtual Reality Games. - Shuai Ma, Jia Yuan Yu:
Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping. - Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income. - Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Large Memory Layers with Product Keys. - Kenji Maillard, Catalin Hritcu, Exequiel Rivas, Antoine Van Muylder:
The Next 700 Relational Program Logics. - Konstantinos Makantasis, Maria Kontorinaki, Ioannis K. Nikolos:
A Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles. - Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy:
An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types. - Heping Dong, Jun Lai, Peijun Li:
An inverse acoustic-elastic interaction problem with phased or phaseless far-field data. - Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen:
Time series cluster kernels to exploit informative missingness and incomplete label information. - Steven Chaplick, Philipp Kindermann, Andre Löffler, Florian Thiele, Alexander Wolff, Alexander Zaft, Johannes Zink:
Stick Graphs with Length Constraints. - Helena Andrés-Terré, Pietro Lió:
Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders. - Leszek Pecyna, Angelo Cangelosi:
Influence of Pointing on Learning to Count: A Neuro-Robotics Model. - Leszek Pecyna, Angelo Cangelosi, Alessandro G. Di Nuovo:
A Deep Neural Network for Finger Counting and Numerosity Estimation. - Biao Qian, Yang Wang:
A Targeted Acceleration and Compression Framework for Low bit Neural Networks. - Yoli Shavit, Ron Ferens:
Introduction to Camera Pose Estimation with Deep Learning. - Letao Liu, Martin Saerbeck, Justin Dauwels:
Affine Disentangled GAN for Interpretable and Robust AV Perception. - Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Human detection of machine manipulated media. - Youssef Mourchid, Mohammed El Hassouni, Hocine Cherifi:
A General Framework for Complex Network-Based Image Segmentation. - Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey:
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds. - Maximilian Bachl, Daniel C. Ferreira:
City-GAN: Learning architectural styles using a custom Conditional GAN architecture. - Aras R. Dargazany:
Human Body Parts Tracking: Applications to Activity Recognition. - Zhuangzi Li:
Image Super-Resolution Using Attention Based DenseNet with Residual Deconvolution. - Evan Koester, Cem Safak Sahin:
A Comparison of Super-Resolution and Nearest Neighbors Interpolation Applied to Object Detection on Satellite Data. - Mhafuzul Islam, Mizanur Rahman, Mashrur Chowdhury, Gurcan Comert, Eshaa Deepak Sood, Amy W. Apon:
Vision-based Pedestrian Alert Safety System (PASS) for Signalized Intersections. - Ali Lenjani, Shirley J. Dyke, Ilias Bilionis, Chul Min Yeum, Kenzo Kamiya, Jongseong Choi, Xiaoyu Liu, Arindam G. Chowdhury:
Towards fully automated post-event data collection and analysis: pre-event and post-event information fusion. - Bei Wang, Jianping An, Jiayan Cao:
Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds. - Fan Jia, Jun Liu, Xue-Cheng Tai:
A Regularized Convolutional Neural Network for Semantic Image Segmentation. - Tsung-Yu Lin, Mikayla Timm, Chenyun Wu, Subhransu Maji:
Visualizing and Describing Fine-grained Categories as Textures. - Heinrich Löwen, Angela Schwering:
An algorithm for the selection of route dependent orientation information. - Joachim Spoerhase, Sabine Storandt, Johannes Zink:
Simplification of Polyline Bundles. - Mariel Pettee, Chase Shimmin, Douglas Duhaime, Ilya Vidrin:
Beyond Imitation: Generative and Variational Choreography via Machine Learning. - Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar:
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. - Michael Greenberg, Austin J. Blatt:
Executable formal semantics for the POSIX shell. - Matthias Bollhöfer, Olaf Schenk, Radim Janalík, Steve Hamm, Kiran Gullapalli:
State-of-The-Art Sparse Direct Solvers. - William Andrew, Colin Greatwood, Tilo Burghardt:
Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference. - Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer:
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. - Antoine Durand, Emmanuelle Anceaume, Romaric Ludinard:
StakeCube: Combining Sharding and Proof-of-Stake to build Fork-free Secure Permissionless Distributed Ledgers. - Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen:
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking. - Irene Márquez-Corbella, Edgar Martínez-Moro, Carlos Munuera:
Computing sharp recovery structures for Locally Recoverable codes. - Carmine Abate, Roberto Blanco, Stefan Ciobaca, Deepak Garg, Catalin Hritcu, Marco Patrignani, Éric Tanter, Jérémy Thibault:
Trace-Relating Compiler Correctness and Secure Compilation. - Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus A. Brubaker:
Time2Vec: Learning a Vector Representation of Time. - Anuj S. Vora, Ankur A. Kulkarni:
Minimax Theorems for Finite Blocklength Lossy Joint Source-Channel Coding over an AVC. - Shaolin Ji, Shige Peng, Ying Peng, Xichuan Zhang:
Three algorithms for solving high-dimensional fully-coupled FBSDEs through deep learning. - Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou:
Improving Neural Relation Extraction with Implicit Mutual Relations. - Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Hamed Shariat Yazdi, Jens Lehmann:
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function. - Laurent El Shafey, Hagen Soltau, Izhak Shafran:
Joint Speech Recognition and Speaker Diarization via Sequence Transduction. - Ran Wang, Haibo Su, Chunye Wang, Kailin Ji, Jupeng Ding:
To Tune or Not To Tune? How About the Best of Both Worlds? - Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. - Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile. - Yuezheng Gong, Jia Zhao, Qi Wang:
Arbitrarily High-order Unconditionally Energy Stable Schemes for Thermodynamically Consistent Gradient Flow Models. - Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu:
Semantic Parsing with Dual Learning. - Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao:
Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces. - Jiahuan Pei, Pengjie Ren, Maarten de Rijke:
A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts. - Haim Kaplan, David Naori, Danny Raz:
Competitive Analysis with a Sample and the Secretary Problem. - Ankit Gupta:
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision. - Felix Batsch, Alireza Daneshkhah, Madeline Cheah, Stratis Kanarachos, Anthony Baxendale:
Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification. - Rita Gitik, Eliyahu Rips:
On The Structure of Dyck Languages. - Salah Triki:
Abelian-square factors and binary words. - Tarlan Suleymanov, Lars Kunze, Paul Newman:
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR. - Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer:
Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. - Yassine Hamoudi, Patrick Rebentrost, Ansis Rosmanis, Miklos Santha:
Quantum and Classical Algorithms for Approximate Submodular Function Minimization. - Marija Vella, João F. C. Mota:
Single Image Super-Resolution via CNN Architectures and TV-TV Minimization. - Rita Macedo, Artur Miguel Dias, António Ravara:
Visualização e animação de autómatos em Ocsigen Framework. - Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan:
Provably Efficient Reinforcement Learning with Linear Function Approximation. - Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo:
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle. - Jakub Lacki, Slobodan Mitrovic, Krzysztof Onak, Piotr Sankowski:
Walking Randomly, Massively, and Efficiently. - Omid Etesami, Saeed Mahloujifar, Mohammad Mahmoody:
Computational Concentration of Measure: Optimal Bounds, Reductions, and More. - Andrew Rafla, Casey Kennington:
Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline. - Paola F. Antonietti, Francesco Bonaldi, Ilario Mazzieri:
Simulation of 3D elasto-acoustic wave propagation based on a Discontinuous Galerkin Spectral Element method. - Bing Yao, Yarong Mu, Yirong Sun, Hui Sun, Xiaohui Zhang, Hongyu Wang, Jing Su, Mingjun Zhang, Sihua Yang, Meimei Zhao, Xiaomin Wang, Fei Ma, Ming Yao, Chao Yang, Jianming Xie:
Using Chinese Characters To Generate Text-Based Passwords For Information Security. - Ahmed Arafa, Roy D. Yates, H. Vincent Poor:
Timely Cloud Computing: Preemption and Waiting. - Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li:
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems. - Abhinav Verma, Hoang Minh Le, Yisong Yue, Swarat Chaudhuri:
Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning. - Farig Sadeque, Steven Bethard:
Predicting engagement in online social networks: Challenges and opportunities. - Stratos Idreos, Niv Dayan, Wilson Qin, Mali Akmanalp, Sophie Hilgard, Andrew Ross, James Lennon, Varun Jain, Harshita Gupta, David Li, Zichen Zhu:
Learning Key-Value Store Design. - Alon Brutzkus, Amit Daniely, Eran Malach:
On the Optimality of Trees Generated by ID3. - Feodor F. Dragan, Heather M. Guarnera:
Eccentricity function in distance-hereditary graphs. - Gabriel Ilharco, Vihan Jain, Alexander Ku, Eugene Ie, Jason Baldridge:
General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping. - Tae Wan Kim, Thomas Donaldson, John N. Hooker:
Grounding Value Alignment with Ethical Principles. - Shivam Handa, Vikash Mansinghka, Martin C. Rinard:
Compositional Inference Metaprogramming with Convergence Guarantees. - Dietmar Offenhuber:
Data by Proxy - Material Traces as Autographic Visualizations. - Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Roi Sinoff:
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension. - Anahita Jamshidnejad, Gabriel Gomes, Alexandre M. Bayen, Bart De Schutter:
Integrated Offline and Online Optimization-Based Control in a Base-Parallel Architecture. - Dong Han, Hlaing Minn:
Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes. - Nikhil Bansal, Jatin Batra:
Geometry of Scheduling on Multiple Machines. - Marco Loog, Tom J. Viering, Alexander Mey:
Minimizers of the Empirical Risk and Risk Monotonicity. - Thomas Brihaye, Véronique Bruyère, Aline Goeminne, Nathan Thomasset:
On Relevant Equilibria in Reachability Games. - Zhiyi Zhang:
Generalized Mutual Information. - Alexander Schaub, Olivier Rioul, Joseph J. Boutros:
Entropy Estimation of Physically Unclonable Functions via Chow Parameters. - Hai Xiao:
Online Learning to Estimate Warfarin Dose with Contextual Linear Bandits. - Jürgen Dölz:
A higher order perturbation approach for electromagnetic scattering problems on random domains. - Saeedeh Parsaeefard, Iman Tabrizian, Alberto Leon-Garcia:
Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure. - Alexandros Papangelis, Yi-Chia Wang, Piero Molino, Gökhan Tür:
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning. - Tovohery Hajatiana Randrianarisoa, Rakhi Pratihar:
On some automorphisms of rational functions and their applications in rank metric codes. - Abdul Muqeet, Md. Tauhid Bin Iqbal, Sung-Ho Bae:
Hybrid Residual Attention Network for Single Image Super Resolution. - Chris Jones, Matt McPartlon:
Spherical Discrepancy Minimization and Algorithmic Lower Bounds for Covering the Sphere. - Majid Khabbazian, Keyvan Gharouni Saffar:
The Gain of Energy Accumulation in Multi-hop Wireless Network Broadcast. - Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki:
Graph-Structured Visual Imitation. - Vladimir Pislyakov, Olga Moskaleva, Mark Akoev:
Cui Prodest? Reciprocity of collaboration measured by Russian Index of Science Citation. - Musab A. Alturki, Jing Chen, Victor Luchangco, Brandon M. Moore, Karl Palmskog, Lucas Peña, Grigore Rosu:
Towards a Verified Model of the Algorand Consensus Protocol in Coq. - Haoruo Peng, Daniel Khashabi, Dan Roth:
Solving Hard Coreference Problems. - Yingjun Guan, Jing Du, Vetle I. Torvik:
Geographical Distribution of Biomedical Research in the USA and China. - Maria L. B. A. Santos, Jéssica C. Carneiro, Antônio M. R. Franco, Fernando Augusto Teixeira, Marco Aurélio Amaral Henriques, Leonardo B. Oliveira:
A Federated Lightweight Authentication Protocol for the Internet of Things. - Kevin D. Smith, Saber Jafarpour, Francesco Bullo:
Transient Stability of Droop-Controlled Inverter Networks with Operating Constraints. - Weiying Wang, Ninad Jadhav, Paul Vohs, Nathan Hughes, Mark Mazumder, Stephanie Gil:
Active Rendezvous for Multi-Robot Pose Graph Optimization using Sensing over Wi-Fi. - Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei:
The Dynamic Embedded Topic Model. - Priyanka Mukhopadhyay:
The Projection Games Conjecture and the Hardness of Approximation of SSAT and related problems. - Dami Choi, Alexandre Passos, Christopher J. Shallue, George E. Dahl:
Faster Neural Network Training with Data Echoing. - Usman Nazir, Numan Khurshid, Muhammad Ahmed Bhimra, Murtaza Taj:
Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia. - Aras R. Dargazany:
MLR (Memory, Learning and Recognition): A General Cognitive Model - applied to Intelligent Robots and Systems Control. - Qingqing Wu, Rui Zhang:
Weighted Sum Power Maximization for Intelligent Reflecting Surface Aided SWIPT. - Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
NPA: Neural News Recommendation with Personalized Attention. - Vahid Noormofidi:
Simulating Nonlinear Neutrino Oscillations on Next-Generation Many-Core Architectures. - (Withdrawn) ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis.
- Gabriel Menezes, Bruno B. P. Cafeo, André C. Hora:
Framework Code Samples: How Are They Maintained and Used by Developers? - Zhihuai Chen, Yinan Li, Xiaoming Sun, Pei Yuan, Jialin Zhang:
A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization. - Jian Ni, Shanghang Zhang, Haiyong Xie:
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen:
Non-Orthogonal Multiple Access in UAV-to-Everything (U2X) Networks. - Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang:
R-Transformer: Recurrent Neural Network Enhanced Transformer. - Sydney M. Katz, Anne-Claire Le Bihan, Mykel J. Kochenderfer:
Learning an Urban Air Mobility Encounter Model from Expert Preferences. - Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. - Yizhi Wang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao:
Boosting Scene Character Recognition by Learning Canonical Forms of Glyphs. - Yu Wang, Fengjuan Gao, Linzhang Wang, Ke Wang:
Learning a Static Bug Finder from Data. - Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams. - Tuo Wu, Miao Jiang, Qi Zhang, Quanzhong Li, Jiayin Qin:
Beamforming Design in Multiple-Input-Multiple-Output Symbiotic Radio Backscatter Systems. - Steven Chen, Nicholas Carlini, David A. Wagner:
Stateful Detection of Black-Box Adversarial Attacks. - Giuseppe Castagna, Victor Lanvin, Mickaël Laurent, Kim Nguyen:
Revisiting Occurrence Typing. - Wei-Yu Chiu, Jui-Ting Hsieh, Chia-Ming Chen:
Pareto Optimal Demand Response Based on Energy Costs and Load Factor in Smart Grid. - Alireza Ghods, Diane J. Cook:
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model. - Yang Song, Stefano Ermon:
Generative Modeling by Estimating Gradients of the Data Distribution. - Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu:
Narvis: Authoring Narrative Slideshows forIntroducing Data Visualization Designs. - Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Börje Karlsson:
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. - Verónika Peralta, Patrick Marcel, Willeme Verdeaux, Aboubakar Sidikhy Diakhaby:
Detecting coherent explorations in SQL workloads. - Anil Koyuncu, Kui Liu, Tegawendé F. Bissyandé, Dongsun Kim, Martin Monperrus, Jacques Klein, Yves Le Traon:
iFixR: Bug Report driven Program Repair. - Vikash Singh, Pietro Liò:
Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction. - Kaige Yang, Xiaowen Dong, Laura Toni:
Laplacian-regularized graph bandits: Algorithms and theoretical analysis. - Yuping Luo, Huazhe Xu, Tengyu Ma:
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. - Mark Burgess:
From Observability to Significance in Distributed Information Systems. - Long H. Pham, Quang Loc Le, Quoc-Sang Phan, Jun Sun:
Concolic Testing Heap-Manipulating Programs. - Chirag Pabbaraju, Prateek Jain:
Learning Functions over Sets via Permutation Adversarial Networks. - Mohammad Tavakolian, Mohammad Sabokrou, Abdenour Hadid:
AVD: Adversarial Video Distillation. - Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Deep Model Compression via Filter Auto-sampling. - Alexandru Burdusel, Steffen Zschaler, Stefan John:
Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering. - Bruce Collie, Michael F. P. O'Boyle:
Augmenting Type Signatures for Program Synthesis. - Qian Zhang, Jianjun Li, Meng Yao, Liangchen Song, Helong Zhou, Zhichao Li, Wenming Meng, Xuezhi Zhang, Guoli Wang:
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing. - Maria Charina, Nira Dyn, Vladimir Yu. Protasov:
Analytic functions in shift-invariant spaces and analytic limits of level dependent subdivision. - Christian Zirkelbach, Alexander Krause, Wilhelm Hasselbring:
Modularization of Research Software for Collaborative Open Source Development. - David Tuckey, Krysia Broda, Alessandra Russo:
Saliency Maps Generation for Automatic Text Summarization. - Silvia Gazzola, Malena Sabate Landman:
Adaptive Regularization Parameter Choice Rules for Large-Scale Problems. - Graham Spinks, Marie-Francine Moens:
Justifying Diagnosis Decisions by Deep Neural Networks. - Dávid Terjék:
Virtual Adversarial Lipschitz Regularization. - Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou:
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. - Alexandrou Serb, Ivan Kobyzev, Jiaqi Wang, Themis Prodromakis:
A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing. - Hiroshi Yonai, Yasuhiro Hayase, Hiroyuki Kitagawa:
Mercem: Method Name Recommendation Based on Call Graph Embedding. - Gabriel R. Barrenechea, Erik Burman, Johnny Guzmán:
L2-Error estimates for H(div)-conforming schemes applied to a linearised model of inviscid incompressible flow. - Ugo de'Liguoro, Riccardo Treglia:
Intersection Types for the Computational lambda-Calculus. - Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu:
Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning. - Ricardo Riaza:
Associate submersions and qualitative properties of nonlinear circuits with implicit characteristics. - Arthur Jacot, Franck Gabriel, Clément Hongler:
Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects. - Ziv Katzir, Yuval Elovici:
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn. - Michael Kapralov, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakab Tardos:
Space Efficient Approximation to Maximum Matching Size from Uniform Edge Samples. - Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong:
PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search. - Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool:
Learning a Curve Guardian for Motorcycles. - Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler:
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. - Kaisheng Gao, Jing Zhang, Cangqi Zhou:
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification. - Dmitri E. Nikonov, Ian A. Young:
Benchmarking Physical Performance of Neural Inference Circuits. - Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand:
Proceedings of FACTS-IR 2019. - Maria Ponomareva, Kirill Milintsevich, Ekaterina Chernyak, Anatoly Starostin:
Automated Word Stress Detection in Russian. - Amirreza Hashemi, Mohsen Lahooti, Ebrahim Shirani:
Equal bi-Vectorized (EBV) method to high performance on GPU. - Jakob Weissteiner, Sven Seuken:
Deep Learning-powered Iterative Combinatorial Auctions. - Tor Lattimore, Csaba Szepesvári:
Exploration by Optimisation in Partial Monitoring. - Larry Allen, Robert C. Kirby:
Structured inversion of the Bernstein mass matrix. - Pawel Budzianowski, Ivan Vulic:
Hello, It's GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems. - Jan Eliás:
On the connection between the macroscopic Poisson's ratio of an isotropic discrete system and its geometrical structure. - Daniel Alcaide, Jan Aerts:
Improving the Projection of Global Structures in Data through Spanning Trees. - Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xinyu Dai, Jiajun Chen:
Generating Sentences from Disentangled Syntactic and Semantic Spaces. - Estelle Maudet, Oralie Cattan, Maureen de Seyssel, Christophe Servan:
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases. - Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong, Francisco Guzmán:
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia. - Jatin Ganhotra, Siva Sankalp Patel, Kshitij Fadnis:
Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems. - Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ji-Rong Wen:
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN. - Syed Sameed Husain, Eng-Jon Ong, Miroslaw Bober:
ACTNET: end-to-end learning of feature activations and multi-stream aggregation for effective instance image retrieval. - Nada Cvetkovic, Tim O. F. Conrad, Han Cheng Lie:
Convergent discretisation schemes for transition path theory for diffusion processes. - Md. Tashfiqul Bari, Tanvir Hassan, Raisa Tabassum, Zubaida Ahmed, Swakkhar Shatabda:
Find It: A Novel Way to Learn Through Play. - Bernadette Spieler, Vesna Krnjic, Wolfgang Slany:
Girls Create Games: Lessons Learned. - Giorgos Bouritsas, Stelios Daveas, Antonios Danelakis, Constantinos Rizogiannis, Stelios C. A. Thomopoulos:
Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks. - Rajesh Jayaram, David P. Woodruff:
Towards Optimal Moment Estimation in Streaming and Distributed Models. - Jan Stolarek, James Cheney:
Verified Self-Explaining Computation. - Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu:
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera. - Maryam Bahrani, Nicole Immorlica, Divyarthi Mohan, S. Matthew Weinberg:
Asynchronous Majority Dynamics in Preferential Attachment Trees. - Ayon Borthakur, Thomas A. Cleland:
Signal Conditioning for Learning in the Wild. - Arto Anttila, Scott Borgeson, Giorgio Magri:
Equiprobable mappings in weighted constraint grammars. - Taha Hassan, Bob Edmison, Larry Cox II, Matthew Louvet, Daron Williams:
Exploring the context of course rankings on online academic forums. - Stefano V. Albrecht, Subramanian Ramamoorthy:
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). - Mordechai Guri, Boris Zadov, Dima Bykhovsky, Yuval Elovici:
CTRL-ALT-LED: Leaking Data from Air-Gapped Computers via Keyboard LEDs. - Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen:
A General Decoupled Learning Framework for Parameterized Image Operators. - Issam W. Damaj:
A Unified Analysis Approach for Hardware and Software Implementations. - Rachel Bawden, Nikolay Bogoychev, Ulrich Germann, Roman Grundkiewicz, Faheem Kirefu, Antonio Valerio Miceli Barone, Alexandra Birch:
The University of Edinburgh's Submissions to the WMT19 News Translation Task. - René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat:
DisCoRL: Continual Reinforcement Learning via Policy Distillation. - Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien:
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. - Youssef Bassil:
Phoenix - The Arabic Object-Oriented Programming Language. - Youssef Bassil:
Compiler Design for Legal Document Translation in Digital Government. - Adithya Murali, P. Madhusudan:
Augmenting Neural Nets with Symbolic Synthesis: Applications to Few-Shot Learning. - Prashant Rai, Hemanth Kolla, Lewis Cannada, Alex A. Gorodetsky:
Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data. - Flavio G. Calhau, Joberto S. B. Martins:
A Electric Network Reconfiguration Strategy with Case-Based Reasoning for the Smart Grid. - Apdullah Yayik, Yakup Kutlu, Gökhan Altan:
Regularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction. - Teng Li, Chaoqun Wang, Max Q.-H. Meng, Clarence W. de Silva:
Coverage Sampling Planner for UAV-enabled Environmental Exploration and Field Mapping. - Namuk Park, Taekyu Lee, Songkuk Kim:
Differentiable Bayesian Neural Network Inference for Data Streams. - Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe:
MIPaaL: Mixed Integer Program as a Layer. - Oscar P. Bruno, Ambuj Pandey:
Fast, higher-order direct/iterative hybrid solver for scattering by Inhomogeneous media - with application to high-frequency and discontinuous refractivity problems. - Yahui Liu, Marco De Nadai, Gloria Zen, Nicu Sebe, Bruno Lepri:
Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps. - Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis:
Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications. - Steffen Smolka, Nate Foster, Justin Hsu, Tobias Kappé, Dexter Kozen, Alexandra Silva:
Guarded Kleene Algebra with Tests: Verification of Uninterpreted Programs in Nearly Linear Time. - Alec Dektor, Daniele Venturi:
Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs. - Eirini Georgoulaki, Kostas Kollias:
On the Price of Anarchy of Cost-Sharing in Real-Time Scheduling Systems. - Abdulaziz Alaboudi, Thomas D. LaToza:
An Exploratory Study of Live-Streamed Programming. - Anders Martinsson, Jara Uitto:
Navigating an Infinite Space with Unreliable Movements. - (Withdrawn) Planar Disjoint Paths in Linear Time.
- Agnip Dasgupta, Ardhendu Banerjee, Aniket Ghosh Dastidar, Antara Barman, Sanjay Chakraborty:
A Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm (FS-PeSOA). - Evripidis Bampis, Dimitris Christou, Bruno Escoffier, Kim Thang Nguyen:
Online-Learning for min-max discrete problems. - Bobby Davis, Ioannis Karamouzas, Stephen J. Guy:
NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance. - S. Ivvan Valdez, Alfonso Rojas Domínguez:
An Evolutionary Algorithm of Linear complexity: Application to Training of Deep Neural Networks. - Liang Lu, Xiong Xiao, Zhuo Chen, Yifan Gong:
PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch. - Frank Ban, Xi Chen, Rocco A. Servedio, Sandip Sinha:
Efficient average-case population recovery in the presence of insertions and deletions. - Adarsh M. Subramaniam, Anoosheh Heidarzadeh, Krishna R. Narayanan:
Random Khatri-Rao-Product Codes for Numerically-Stable Distributed Matrix Multiplication. - Hossein Kazemi, Majid Safari, Harald Haas:
Multi-Hop Wireless Optical Backhauling for LiFi Attocell Networks: Bandwidth Scheduling and Power Control. - S. Abhishek Anand, Chen Wang, Jian Liu, Nitesh Saxena, Yingying Chen:
Spearphone: A Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers. - Lucas Laird, Richard C. Tillquist, Stephen Becker, Manuel E. Lladser:
Resolvability of Hamming Graphs. - Juan Manzanero, Gonzalo Rubio, David A. Kopriva, Esteban Ferrer, Eusebio Valero:
Entropy-stable discontinuous Galerkin approximation with summation-by-parts property for the incompressible Navier-Stokes equations with variable density and artificial compressibility. - Stefan Lattner, Monika Dörfler, Andreas Arzt:
Learning Complex Basis Functions for Invariant Representations of Audio. - Burak Bartan, Mert Pilanci:
Distributed Black-Box Optimization via Error Correcting Codes. - Kangquan Li, Chunlei Li, Chao Li, Longjiang Qu:
On the Differential Linear Connectivity Table of Vectorial Boolean Functions. - Yusuke Kawamoto, Takao Murakami:
Local Distribution Obfuscation via Probability Coupling. - Yusuke Kawamoto:
Statistical Epistemic Logic. - José Correa, Andrés Cristi, Boris Epstein, José A. Soto:
The Two-Sided Game of Googol and Sample-Based Prophet Inequalities. - Samith Abeywickrama, Rui Zhang, Chau Yuen:
Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization. - Yu Gu, Xiang Zhang, Zhi Liu, Fuji Ren:
BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior. - Minghui Liao, Boyu Song, Minghang He, Shangbang Long, Cong Yao, Xiang Bai:
SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds. - O. V. Ageev, R. A. Sharipov:
On linear regression in three-dimensional Euclidean space. - George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti:
The Futility of Bias-Free Learning and Search. - Xinyu Du, Chao Wang, Tianze Wang, Zeyu Gao:
Efficient methods to determine the reversibility of general 1D linear cellular automata in polynomial complexity. - Ahmed Hussain Qureshi, Yinglong Miao, Anthony Simeonov, Michael C. Yip:
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners. - Qipei Mei, Mustafa Gül:
A Conditional Wasserstein Generative Adversarial Network for Pixel-level Crack Detection using Video Extracted Images. - Yantao Wei, Shujian Yu, José C. Príncipe:
Multiscale Principle of Relevant Information for Hyperspectral Image Classification. - Xiaotian Chen, Xuejin Chen, Zheng-Jun Zha:
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation. - Filippo M. Smaldone, Nicola Scianca, Valerio Modugno, Leonardo Lanari, Giuseppe Oriolo:
Gait Generation using Intrinsically Stable MPC in the Presence of Persistent Disturbances. - Zhenyue Zhang, Yuqing Xia:
Minimal Sample Subspace Learning: Theory and Algorithms. - Weiming Feng, Heng Guo, Yitong Yin:
Perfect sampling from spatial mixing. - Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi:
Towards Characterizing and Limiting Information Exposure in DNN Layers. - Garrick Brazil, Xiaoming Liu:
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection. - Qunsong Zeng, Yuqing Du, Kin K. Leung, Kaibin Huang:
Energy-Efficient Radio Resource Allocation for Federated Edge Learning. - Chia-Hsuan Lee, Hung-yi Lee:
Cross-Lingual Transfer Learning for Question Answering. - Abhijit Mahalunkar, John D. Kelleher:
Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies. - Marek Sewer Kopicki, Dominik Belter, Jeremy L. Wyatt:
Learning better generative models for dexterous, single-view grasping of novel objects. - Gen Li, Xingyu Xu, Yuantao Gu:
Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. - Beniamino Accattoli, Andrea Condoluci, Giulio Guerrieri, Claudio Sacerdoti Coen:
Crumbling Abstract Machines. - Maria Bampa, Panagiotis Papapetrou:
Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records. - Bodhisatwa Mandal, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das, Mita Nasipuri:
Using dynamic routing to extract intermediate features for developing scalable capsule networks. - Can Gafuroglu, Islem Rekik:
Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis. - Yehui Tang, Shan You, Chang Xu, Boxin Shi, Chao Xu:
Bringing Giant Neural Networks Down to Earth with Unlabeled Data. - Evgenii Razinkov, Iuliia Saveleva, Jiri Matas:
ALFA: Agglomerative Late Fusion Algorithm for Object Detection. - Janna Burman, Ho-Lin Chen, Hsueh-Ping Chen, David Doty, Thomas Nowak, Eric E. Severson, Chuan Xu:
Time-Optimal Self-Stabilizing Leader Election in Population Protocols. - Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty:
Changing Views: Persuasion Modeling and Argument Extraction from Online Discussions. - Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman:
Evolvability ES: Scalable and Direct Optimization of Evolvability. - Rajib Rana, Siddique Latif, Sara Khalifa, Raja Jurdak, Julien Epps:
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion. - Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Relational Memory-based Knowledge Graph Embedding. - Congcong Wang, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jakob Elle:
Adaptive Context Encoding Module for Semantic Segmentation. - Siddique Latif, Junaid Qadir, Muhammad Bilal:
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition. - Shikha Patel, Om Prakash:
Skew Generalized Cyclic Code over R[x1;σ1, δ1][x2;σ2, δ2]. - Jesse Clifton, Lili Wu, Eric B. Laber:
Parameterized Exploration. - Erez Posner, Rami R. Hagege:
Motion Segmentation Using Locally Affine Atom Voting. - William Pourmajidi, Andriy V. Miranskyy, John Steinbacher, Tony Erwin, David Godwin:
Dogfooding: use IBM Cloud services to monitor IBM Cloud infrastructure. - Navya Singh, Anshul Dhull, Barath Mohan S., Bhavish Pahwa, Komal Sharma:
Automated Gaming Pommerman: FFA. - Brian Gaudet, Richard Linares, Roberto Furfaro:
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations. - Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. - Andrea Condoluci, Beniamino Accattoli, Claudio Sacerdoti Coen:
Sharing Equality is Linear. - Amin Mosayyebzadeh, Apoorve Mohan, Sahil Tikale, Mania Abdi, Nabil Schear, Charles Munson, Trammell Hudson, Larry Rudolph, Gene Cooperman, Peter Desnoyers, Orran Krieger:
Supporting Security Sensitive Tenants in a Bare-Metal Cloud. - Mingchang Ding, Xiaofeng Cai, Wei Guo, Jing-Mei Qiu:
A semi-Lagrangian discontinuous Galerkin (DG) - local DG method for solving convection-diffusion-reaction equations. - Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal Maulik:
Understanding Deep Learning Techniques for Image Segmentation. - Viktor Bengs, Eyke Hüllermeier:
Preselection Bandits under the Plackett-Luce Model. - Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal:
Towards Robust Voice Pathology Detection. - Xiaodan Lou, Alessandro Flammini, Filippo Menczer:
Information Pollution by Social Bots. - Peiye Zhuang, Alexander G. Schwing, Sanmi Koyejo:
FMRI data augmentation via synthesis. - Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Ji Liu:
Stochastic Convergence Results for Regularized Actor-Critic Methods. - Linfeng Song:
Tackling Graphical NLP problems with Graph Recurrent Networks. - Lingzhi Zhang, Andong Cao, Rui Li, Jianbo Shi:
Neural Embedding for Physical Manipulations. - Cong Fu, Changxu Wang, Deng Cai:
Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search. - Sohaib Ahmad, Benjamin Fuller:
ThirdEye: Triplet Based Iris Recognition without Normalization. - Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka:
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels. - Heng Guo, Jingcheng Liu, Pinyan Lu:
Zeros of ferromagnetic 2-spin systems. - Rezvan Mahdavi-Hezaveh, Jacob Dremann, Laurie A. Williams:
Feature Toggle Driven Development: Practices usedby Practitioners. - Chun-Hung Liu, Yu-Han Shen, Chia-Han Lee:
Energy-Efficient Activation and Uplink Transmission for Cellular IoT. - Ziad Al-Halah, Andrew P. Aitken, Wenzhe Shi, Jose Caballero:
Smile, be Happy : ) Emoji Embedding for Visual Sentiment Analysis. - Riyi Qiu, Yugang Jia, Mirsad Hadzikadic, Michael Dulin, Xi Niu, Xin Wang:
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach. - Yuchen Jiao, Gen Li, Yuantao Gu:
Compressed Subspace Learning Based on Canonical Angle Preserving Property. - Parneet Kaur, Karan Sikka, Weijun Wang, Serge J. Belongie, Ajay Divakaran:
FoodX-251: A Dataset for Fine-grained Food Classification. - Marcin Junczys-Dowmunt:
Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation. - Ivan Bliznets, Danil Sagunov:
On Happy Colorings, Cuts, and Structural Parameterizations. - Adam Breuer, Eric Balkanski, Yaron Singer:
The FAST Algorithm for Submodular Maximization. - Changsheng You, Rui Zhang:
Hybrid Offline-Online Design for UAV-Enabled Data Harvesting in Probabilistic LoS Channel. - Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda:
Towards Generation of Visual Attention Map for Source Code. - Ye Liu, Chen Shen, Yankan Song, Jun Yan:
Emergency DC Power Support Strategy Based on Coordinated Droop Control in Multi-Infeed HVDC System. - Daniel Cervantes, Miguel Angel Moreles, Joaquín Peña, Alonso Ramirez-Manzanares:
A GPU implementation of the Discontinuous Galerkin method for simulation of diffusion in brain tissue. - Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier:
A Divide-and-Conquer Approach towards Understanding Deep Networks. - Alessandro Betti, Marco Gori:
On the Role of Time in Learning. - Venkatesh Theru Mohan, Ali Jannesari:
Automatic Repair and Type Binding of Undeclared Variables using Neural Networks. - Thanh Huy Nguyen, Sylvie Daniel, Didier Guériot, Christophe Sintes, Jean-Marc Le Caillec:
Unsupervised Automatic Building Extraction Using Active Contour Model on Unregistered Optical Imagery and Airborne LiDAR Data. - Ella Noll, Mai Oudah, Nizar Habash:
Simple Automatic Post-editing for Arabic-Japanese Machine Translation. - Abulfazl Zakeri, Narges Gholipoor, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck:
Energy Cost Minimization by Joint Radio and NFV Resource Allocation: E2E QoS Framework. - John Glover, Chris Hokamp:
Task Selection Policies for Multitask Learning. - Yabin Zhang, Adrianna Gillman:
A fast direct solver for two dimensional quasi-periodic multilayered medium scattering problems. - Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu:
A Simple BERT-Based Approach for Lexical Simplification. - Michael Neunteufel, Joachim Schöberl:
Avoiding Membrane Locking with Regge Interpolation. - Can Xiang, Xin Ling, Qi Wang:
Combinatorial t-designs from quadratic functions. - Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang:
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. - Thinh Hoang Dinh, Hieu Le Thi Hong, Tri Ngo Dinh:
State Estimation in Visual Inertial Autonomous Helicopter Landing Using Optimisation on Manifold. - Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle, Martin C. Rinard, Vikash K. Mansinghka:
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling. - Artem Thofimov, Igor E. Kuralenok, Nikiga Marshalkin, Boris Novikov:
Delivery, consistency, and determinism: rethinking guarantees in distributed stream processing. - Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu:
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. - José Ortiz-Bejar, Eric Sadit Tellez, Mario Graff:
Feature space transformations and model selection to improve the performance of classifiers. - Stephen Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah:
Counterfactual Reasoning for Fair Clinical Risk Prediction. - Massimo Benerecetti, Daniele Dell'Erba, Fabio Mogavero:
Solving Mean-Payoff Games via Quasi Dominions. - Apolo Silva Marton, André Ricardo Fioravanti, José Raul Azinheira, Ely Carneiro de Paiva:
Hybrid Model-Based and Data-Driven Wind Velocity Estimator for the Navigation System of a Robotic Airship. - Azarakhsh Keipour, Mohammadreza Mousaei, Sebastian A. Scherer:
ALFA: A Dataset for UAV Fault and Anomaly Detection. - Moein Owhadi-Kareshk, Sarah Nadi, Julia Rubin:
Predicting Merge Conflicts in Collaborative Software Development. - Seyedeh Zahra Razavi, Lenhart K. Schubert, Kimberly A. Van Orden, Mohammad Rafayet Ali:
Discourse Behavior of Older Adults Interacting With a Dialogue Agent Competent in Multiple Topics. - Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon:
Learning Neural Networks with Adaptive Regularization. - Harsh Gupta, R. Srikant, Lei Ying:
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning. - Deyan Petrov, Timothy M. Hospedales:
Measuring the Transferability of Adversarial Examples. - Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. - Max Halford, Philippe Saint-Pierre, Franck Morvan:
An Approach Based on Bayesian Networks for Query Selectivity Estimation. - Ivan Molodetskikh, Mikhail Erofeev, Dmitriy S. Vatolin:
Perceptually Motivated Method for Image Inpainting Comparison. - Sreelakshmi Manjunath, Gaurav Raina:
Compound TCP with Random Early Detection (RED): stability, bifurcation and performance analyses. - Ling-Ze Bu, Wei Zhao, Wei Wang:
Tensor train-Karhunen-Loève expansion for continuous-indexed random fields using higher-order cumulant functions. - Caleb C. Levy, Robert E. Tarjan:
Splaying Preorders and Postorders. - Caleb C. Levy, Robert E. Tarjan:
New Paths from Splay to Dynamic Optimality. - Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li:
Exploring Deep Anomaly Detection Methods Based on Capsule Net. - Lei Yang, Lianzhang Bao:
Numerical study of vanishing and spreading dynamics of chemotaxis systems with logistic source and a free boundary. - Sandro Sozzo, Marta Gasparin:
Representing Attitudes Towards Ambiguity in Managerial Decisions. - Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Yucheng Tang, Yuankai Huo, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman:
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. - Xiaoying Dai, Qiao Wang, Aihui Zhou:
Gradient Flow Based Discretized Kohn-Sham Density Functional Theory. - Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie:
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. - Rohan Lekhwani:
FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks. - Ajay Jasra, Fangyuan Yu, Jeremy Heng:
Multilevel Particle Filters for the Non-Linear Filtering Problem in Continuous Time. - Prateek Verma, Aliasgar Kutiyanawala, Ke Shen:
Ranking sentences from product description & bullets for better search. - Sedrick Scott Keh, I-Tsun Cheng:
Myers-Briggs Personality Classification and Personality-Specific Language Generation Using Pre-trained Language Models. - Mahdi Bozorg, Saber Salehkaleybar, Matin Hashemi:
Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs. - Minghan Wei, Volkan Isler:
Energy-efficient Path Planning for Ground Robots by Combining Air and Ground Measurements. - Abilash Thakallapelli, Sukumar Kamalasadan:
Alternating Direction Method of Multipliers (ADMMs) Based Distributed Approach For Wide-Area Control. - Shota Saito, Shinichi Shirakawa:
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. - Sreeram Ganji, Kunal Dhawan, Kumar Priyadarshi, Rohit Sinha:
Joint Language Identification of Code-Switching Speech using Attention based E2E Network. - Daniel Gissin, Shai Shalev-Shwartz:
Discriminative Active Learning. - Adriana Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu:
Motorway Traffic Flow Prediction using Advanced Deep Learning. - Francisco Revson Fernandes Pereira, Ruud Pellikaan, Giuliano Gadioli La Guardia, Francisco Marcos de Assis:
Entanglement-assisted Quantum Codes from Algebraic Geometry Codes. - Ziqiang Li, Rentuo Tao, Qianrun Wu, Bin Li:
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention. - Aaditeshwar Seth:
The Elusive Model of Technology, Media, Social Development, and Financial Sustainability. - Nicolas Audebert, Catherine Herold, Kuider Slimani, Cédric Vidal:
Multimodal deep networks for text and image-based document classification. - Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. - Timothy P. Lillicrap, Konrad P. Körding:
What does it mean to understand a neural network? - Bin Liu, Yu Qi, Ke-Jia Chen:
Sequential online prediction in the presence of outliers and change points: an instant temporal structure learning approach. - Eduardo Morais, Tommy Koens, Cees van Wijk, Aleksei Koren:
A Survey on Zero Knowledge Range Proofs and Applications. - Peter Tiño:
Dynamical Systems as Temporal Feature Spaces. - Francisco Lázaro, Cedomir Stefanovic, Petar Popovski:
Reliability-Latency Performance of Frameless ALOHA with and without Feedback. - Sidak Pal Singh, Angela Fan, Michael Auli:
GLOSS: Generative Latent Optimization of Sentence Representations. - Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling, Artem Polyvyanyy:
Comprehensive Process Drift Detection with Visual Analytics. - Behrooz Razeghi, Taras Stanko, Boris Skoric, Slava Voloshynovskiy:
Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding. - Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
Sequence Level Semantics Aggregation for Video Object Detection. - Pavlos Sermpezis, Savvas Kastanakis, João Ismael Pinheiro, Felipe Assis, Daniel S. Menasché, Thrasyvoulos Spyropoulos:
Towards QoS-Aware Recommendations. - Wonshick Ko, Dong Eui Chang:
A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning. - Vanessa Peña Araya, Emmanuel Pietriga, Anastasia Bezerianos:
A Comparison of Visualizations for Identifying Correlation over Space and Time. - Laura A. M. D'Angelo, Zeger Bontinck, Sebastian Schöps, Herbert De Gersem:
Robust Optimization of a Permanent Magnet Synchronous Machine Considering Uncertain Driving Cycles. - Xiaodong Cun, Chi-Man Pun:
Improving the Harmony of the Composite Image by Spatial-Separated Attention Module. - Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik:
Investigation on N-gram Approximated RNNLMs for Recognition of Morphologically Rich Speech. - Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke:
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. - Tatiana Fountoukidou, Raphael Sznitman:
Concept-Centric Visual Turing Tests for Method Validation. - Raul Fernandez-Fernandez, Juan G. Victores, David Estevez, Carlos Balaguer:
Quick, Stat!: A Statistical Analysis of the Quick, Draw! Dataset. - James Shaw, Georges Kesserwani:
Stochastic Galerkin finite volume shallow flow model: well-balanced treatment over uncertain topography. - Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy:
Vid2Param: Online system identification from video for robotics applications. - Mengfan Zheng, Ling Liu, Cong Ling:
On the Polarization of Rényi Entropy. - Eunjeong Jeong, Seungeun Oh, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim:
Multi-hop Federated Private Data Augmentation with Sample Compression. - Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
A Neural Turing~Machine for Conditional Transition Graph Modeling. - (Withdrawn) Noise-Stable Rigid Graphs for Euclidean Embedding.
- Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund:
Empirical Coordination Subject to a Fidelity Criterion. - Blaz Skrlj, Andraz Repar, Senja Pollak:
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation. - Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll:
Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems. - Felix Ritchie, Jim Smith:
Confidentiality and linked data. - Stefan Contiu, Sébastien Vaucher, Rafael Pires, Marcelo Pasin, Pascal Felber, Laurent Réveillère:
Anonymous and confidential file sharing over untrusted clouds. - Vadim Demchik, Miroslav Bacák, Stefan Bordag:
Out-of-core singular value decomposition. - Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li:
Proximal Policy Optimization with Mixed Distributed Training. - A. V. Savchik, Egor I. Ershov, Simon M. Karpenko:
Color Cerberus. - Zeon Trevor Fernando, Jaspreet Singh, Avishek Anand:
A study on the Interpretability of Neural Retrieval Models using DeepSHAP. - Christie L. Alappat, Georg Hager, Olaf Schenk, Jonas Thies, Achim Basermann, Alan R. Bishop, Holger Fehske, Gerhard Wellein:
A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication. - Alexandre Bérard, Ioan Calapodescu, Claude Roux:
Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task. - Reuben Feinman, Nikhil Parthasarathy:
Robust Nonlinear Component Estimation with Tikhonov Regularization. - Emrah Basaran, Muhittin Gokmen, Mustafa E. Kamasak:
An Efficient Framework for Visible-Infrared Cross Modality Person Re-Identification. - Olga Moskaleva, Mark Akoev:
Non-English language publications in Citation Indexes - quantity and quality. - Wolfgang Konen:
General Board Game Playing for Education and Research in Generic AI Game Learning. - Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang:
Reinforcement Learning with Chromatic Networks. - Xu Zhang, Svebor Karaman, Shih-Fu Chang:
Detecting and Simulating Artifacts in GAN Fake Images. - Ali A. Nazari, Diego Castro, Isuru S. Godage:
Forward and Inverse Kinematics of a Single Section Inextensible Continuum Arm. - Elena Maris, Timothy Libert, Jennifer Henrichsen:
Tracking sex: The implications of widespread sexual data leakage and tracking on porn websites. - Xilong Zhuo, Chenyi Zhang:
A Relational Static Semantics for Call Graph Construction. - Michal Wlodarczyk:
Inapproximability within W[1]: the case of Steiner Orientation. - José Pablo Cambronero, Jiasi Shen, Jürgen Cito, Elena L. Glassman, Martin C. Rinard:
Characterizing Developer Use of Automatically Generated Patches. - Han Cha, Jihong Park, Hyesung Kim, Seong-Lyun Kim, Mehdi Bennis:
Federated Reinforcement Distillation with Proxy Experience Memory. - Tapajit Dey, Yuxing Ma, Audris Mockus:
Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem. - João Rasga, Cristina Sernadas, Erisa Karafili, Luca Viganò:
Time-Stamped Claim Logic. - Brett Thomas Lopez, Jean-Jacques E. Slotine, Jonathan P. How:
Dynamic Tube MPC for Nonlinear Systems. - Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. - Markus Reiter-Haas, Emanuel Lacic, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex:
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations. - Amy K. Hoover, Julian Togelius, Scott Lee, Fernando de Mesentier Silva:
The Many AI Challenges of Hearthstone. - Sudip Vhaduri, Christian Poellabauer:
Summary: Multi-modal Biometric-based Implicit Authentication of Wearable Device Users. - Jasjeet Dhaliwal, Kyle Hambrook:
Recovery Guarantees for Compressible Signals with Adversarial Noise. - Luvneesh Mugrai, Fernando de Mesentier Silva, Christoffer Holmgård, Julian Togelius:
Automated Playtesting of Matching Tile Games. - Aidan Clark, Jeff Donahue, Karen Simonyan:
Efficient Video Generation on Complex Datasets. - Xiao Dong, Ling Zhou:
Deep network as memory space: complexity, generalization, disentangled representation and interpretability. - Ioannis Lamprou, Ioannis Sigalas, Vassilis Zissimopoulos:
Improved Budgeted Connected Domination and Budgeted Edge-Vertex Domination. - Shalini Pandey, George Karypis:
Structured Dictionary Learning for Energy Disaggregation. - Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, Xiaozhong Liu:
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data. - Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye:
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. - Thierry Boy de la Tour:
Parallelism Theorem and Derived Rules for Parallel Coherent Transformations. - Paschalis A. Bizopoulos, Dimitrios D. Koutsouris:
Sparsely Activated Networks. - (Withdrawn) Learning One-hidden-layer neural networks via Provable Gradient Descent with Random Initialization.
- Qiu-Yue Zhong, Andrew H. Fairless, Jasmine M. McCammon, Farbod Rahmanian:
Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment. - Mercè Claverol, Clemens Huemer, Alejandra Martínez-Moraian:
On circles enclosing many points. - Avi Cohen, David Peleg:
Hotelling Games with Multiple Line Faults. - Ali Maatouk, Saad Kriouile, Mohamad Assaad, Anthony Ephremides:
The Age of Incorrect Information: A New Performance Metric for Status Updates. - Matthew Spellings:
Agglomerative Attention. - Dirk Praetorius, Michele Ruggeri, Ernst P. Stephan:
The saturation assumption yields optimal convergence of two-level adaptive BEM. - Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, Nicolas Vayatis:
Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning. - Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov:
Facebook FAIR's WMT19 News Translation Task Submission. - Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé:
Multi-scale Graph-based Grading for Alzheimer's Disease Prediction. - Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling:
Batch-Shaped Channel Gated Networks. - Anurag Dwarakanath, Manish Ahuja, Sanjay Podder, Silja Vinu, Arijit Naskar, Koushik MV:
Metamorphic Testing of a Deep Learning based Forecaster. - Apdullah Yayik, Yakup Kutlu, Gökhan Altan:
On improving learning capability of ELM and an application to brain-computer interface. - Ferkan Yilmaz:
On the Relationships Between Average Channel Capacity, Average Bit Error Rate, Outage probability and Outage Capacity over Additive White Gaussian Noise Channels. - Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, Jacob Howcroft:
The Bach Doodle: Approachable music composition with machine learning at scale. - Patrick W. Ruch, Rui Hu, Luca Capua, Yuksel Temiz, Stephan Paredes, Antonio Lopez Marin, Jorge Barroso Carmona, Aaron Cox, Eiji Nakamura, Keiji Matsumoto:
A portable potentiometric electronic tongue leveraging smartphone and cloud platforms. - Zhang Zhang, Dacheng Tao:
Slow Feature Analysis for Human Action Recognition. - Simão Eduardo, Alfredo Nazábal, Christopher K. I. Williams, Charles Sutton:
Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data. - Falcon Z. Dai, Zheng Cai:
Towards Near-imperceptible Steganographic Text. - Martin Koutecký, Daniel Král:
A row-invariant parameterized algorithm for integer programming. - Shihao Ge, Haruna Isah, Farhana H. Zulkernine, Shahzad Khan:
A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning. - Thomas C. Clevenger, Timo Heister:
Comparison Between Algebraic and Matrix-free Geometric Multigrid for a Stokes Problem on Adaptive Meshes with Variable Viscosity. - Jesse Wang, Henry A. Kautz:
CupQ: A New Clinical Literature Search Engine. - Terence Parr, James D. Wilson:
A Stratification Approach to Partial Dependence for Codependent Variables. - Joe Booth:
PPO Dash: Improving Generalization in Deep Reinforcement Learning. - Shichao Xu, Shuyue Lan, Qi Zhu:
MaskPlus: Improving Mask Generation for Instance Segmentation. - Guang Yang, Bee Vang, Zachary Serlin, Calin Belta, Roberto Tron:
Sampling-based Motion Planning via Control Barrier Functions. - Gustavo Vieira Machado, Ítalo Cunha, Adriano C. M. Pereira, Leonardo B. Oliveira:
DOD-ETL: Distributed On-Demand ETL for Near Real-Time Business Intelligence. - Yury Kartynnik, Artsiom Ablavatski, Ivan Grishchenko, Matthias Grundmann:
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs. - Sayanti Roy, Emily Kieson, Charles Abramson, Christopher Crick:
Mutual Reinforcement Learning. - Christian Beck, Fabian Hornung, Martin Hutzenthaler, Arnulf Jentzen, Thomas Kruse:
Overcoming the curse of dimensionality in the numerical approximation of Allen-Cahn partial differential equations via truncated full-history recursive multilevel Picard approximations. - William Kretschmer:
Lower Bounding the AND-OR Tree via Symmetrization. - Alejandro Molina, Patrick Schramowski, Kristian Kersting:
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. - Andrei Tkachenka, Gregory Karpiak, Andrey Vakunov, Yury Kartynnik, Artsiom Ablavatski, Valentin Bazarevsky, Siargey Pisarchyk:
Real-time Hair Segmentation and Recoloring on Mobile GPUs. - Jose Balanza-Martinez, David Caballero, Angel A. Cantu, Luis Angel Garcia, Timothy Gomez, Austin Luchsinger, Rene Reyes, Robert T. Schweller, Tim Wylie:
Full Tilt: Universal Constructors for General Shapes with Uniform External Forces. - Julien Clément, Antoine Genitrini:
Binary Decision Diagrams: from Tree Compaction to Sampling. - Mayank Kejriwal, Peilin Zhou:
Low-supervision urgency detection and transfer in short crisis messages. - Mark Huber:
Designing Perfect Simulation Algorithms using Local Correctness. - Chengfei Yue, Qiang Shen, Xibin Cao, Feng Wang, Cher Hiang Goh, Chaoyong Li, Tong Heng Lee:
Development of a General Momentum Exchange Devices Fault Model for Spacecraft Fault-Tolerant Control System Design. - Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim:
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. - Ruben Carrillo, Miguel Angel Moreles, Rafael Herrera:
Some error estimates for the DEC method in the plane. - Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Mohammad Hammoud:
Partitioning Graphs for the Cloud using Reinforcement Learning. - Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek:
Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation. - Sara Beery, Dan Morris, Siyu Yang:
Efficient Pipeline for Camera Trap Image Review. - Giovanni Sileno:
Logic Conditionals, Supervenience, and Selection Tasks. - Lukas Iffländer, Alexandra Dmitrienko, Christoph Hagen, Michael Jobst, Samuel Kounev:
Hands Off my Database: Ransomware Detection in Databases through Dynamic Analysis of Query Sequences. - Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander:
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. - Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu:
Utility-aware and privacy-preserving mobile query services. - Deng-Ping Fan, Zheng Lin, Jiaxing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng:
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks. - Khaled M. Elbassioni:
Some Black-box Reductions for Objective-robust Discrete Optimization Problems Based on their LP-Relaxations. - Li-Ke Ma, Zeshi Yang, KangKang Yin:
Towards Robust Direction Invariance in Character Animation. - Flavio L. Duarte, Rodrigo C. de Lamare:
Study of Max-Link Relay Selection with Buffers for Multi-Way Cooperative Multi-Antenna Systems. - Shijie Geng, Ji Zhang, Hang Zhang, Ahmed Elgammal, Dimitris N. Metaxas:
2nd Place Solution to the GQA Challenge 2019. - Mark Koren, Mykel J. Kochenderfer:
Efficient Autonomy Validation in Simulation with Adaptive Stress Testing. - Jianing Wei, Genzhi Ye, Tyler Mullen, Matthias Grundmann, Adel Ahmadyan, Tingbo Hou:
Instant Motion Tracking and Its Applications to Augmented Reality. - Bao Wang, Stanley J. Osher:
Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning. - Hooshang Ghasemi, Aditya Ramamoorthy:
Asynchronous Coded Caching. - Luis Antonio Aguirre:
A Bird's Eye View of Nonlinear System Identification. - Aaditeshwar Seth:
Ethical Underpinnings in the Design and Management of ICT Projects. - Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao:
A Quantum-inspired Algorithm for General Minimum Conical Hull Problems. - Linlin Sun, Jiayu Li, Yu Zhang, Yuntian Wang, Linqing Gui, Fanyuan Li, Haochen Li, Zhihong Zhuang, Feng Shu:
Energy-efficient Alternating Iterative Secure Structure of Maximizing Secrecy Rate for Directional Modulation Networks. - Aras R. Dargazany:
Stereo-based terrain traversability analysis using normal-based segmentation and superpixel surface analysis. - Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, Z. Morley Mao:
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving. - Zeliang Kan, Haoyu Wang, Lei Wu, Yao Guo, Daniel Xiapu Luo:
Automated Deobfuscation of Android Native Binary Code. - Fan Yang, Mengnan Du, Xia Hu:
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning. - Kang-Ho Lee, Joonhyun Jeong, Sung-Ho Bae:
An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis. - Arash Dargahi Nobari, Mahmood Neshati, Sajad Sotudeh Gharebagh:
Quality-aware skill translation models for expert finding on StackOverflow. - Shalini Pandey, George Karypis:
A Self-Attentive model for Knowledge Tracing. - Tianqi Wang, Dong Eui Chang:
Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving. - Kamil Khadiev, Ilnaz Mannapov, Liliya Safina:
The Quantum Version Of Classification Decision Tree Constructing Algorithm C5.0. - Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell:
Deep inspection: an electrical distribution pole parts study via deep neural networks. - Abilash Thakallapelli, Sheikh Jakir Hossain, Sukumar Kamalasadan:
Coherency and Online Signal Selection Based Wide Area Control of Wind Integrated Power Grid. - Ruma Rani Maity, Apala Majumdar, Neela Nataraj:
Discontinuous Galerkin Finite Element Methods for the Landau-de Gennes Minimization Problem of Liquid Crystals. - Zejie Zhou, Boleslaw K. Szymanski, Jianxi Gao:
Modeling competitive evolution of multiple languages. - Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li:
Deep Social Collaborative Filtering. - Hamidreza Bandealinaeini, Saber Salehkaleybar:
Broadcast Distributed Voting Algorithm in Population Protocols. - Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer:
Labelings vs. Embeddings: On Distributed Representations of Distances. - Jianlin Shi, Kevin Graves, John F. Hurdle:
A generic rule-based system for clinical trial patient selection. - Seunghee Han, Matvey Soloviev, Yuwen Wang:
The Impact of Tribalism on Social Welfare. - Alexander P. Kryukov, Minh-Duc Nguyen, Igor V. Bychkov, Andrey A. Mikhailov, Alexey O. Shigarov, Julia Y. Dubenskaya:
Distributed data storage for modern astroparticle physics experiments. - Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu:
Light Multi-segment Activation for Model Compression. - Niklas Behringer, Dmitriy Leykekhman, Boris Vexler:
Global and local pointwise error estimates for finite element approximations to the Stokes problem on convex polyhedra. - Andreas Pfeuffer, Klaus Dietmayer:
Separable Convolutional LSTMs for Faster Video Segmentation. - Hongkai Zhang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen:
Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection. - Yipeng Mou, Mingming Gong, Huan Fu, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao:
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach. - Xiaowei Xing, Dong Eui Chang:
Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation. - M. Ashok Kumar, Albert Sunny, Ashish Thakre, Ashisha Kumar:
A Unified Framework for Problems on Guessing, Source Coding and Task Partitioning. - Mattia Segù, Antonio Loquercio, Davide Scaramuzza:
A General Framework for Uncertainty Estimation in Deep Learning. - Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff:
Meta-Learning for Black-box Optimization. - Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach:
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches. - Alexander Hagg, Alexander Asteroth, Thomas Bäck:
Modeling User Selection in Quality Diversity. - Véronique Bruyère, Guillermo A. Pérez, Jean-François Raskin, Clément Tamines:
Partial Solvers for Generalized Parity Games. - Vikas Agaradahalli Gurumurthy, Ramesh Kestur, Omkar Narasipura:
Mango Tree Net - A fully convolutional network for semantic segmentation and individual crown detection of mango trees. - Mark D. McDonnell, Hesham Mostafa, Runchun Wang, André van Schaik:
Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems. - Thomas Golda, Tobias Kalb, Arne Schumann, Jürgen Beyerer:
Human Pose Estimation for Real-World Crowded Scenarios. - Hyenkyun Woo:
The Bregman-Tweedie Classification Model. - Antonio L. Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex 'Sandy' Pentland, Gigliola Vaglini:
Assessing Refugees' Integration via Spatio-temporal Similarities of Mobility and Calling Behaviors. - Andreas Martin Kettner, Mario Paolone:
Performance Assessment of Kron Reduction in the Numerical Analysis of Polyphase Power Systems. - Sihong Chen, Weiping Yu, Kai Ma, Xinlong Sun, Xiaona Lin, Desheng Sun, Yefeng Zheng:
Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence. - Blaz Skrlj, Senja Pollak:
Language comparison via network topology. - Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel:
A Subjective Interestingness measure for Business Intelligence explorations. - Daniel Etiemble:
Coprocessors: failures and successes. - Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman:
Fused Detection of Retinal Biomarkers in OCT Volumes. - Mehdi Yedroudj, Frédéric Comby, Marc Chaumont:
Steganography using a 3 player game. - Ernest Scheiber:
On the Variational Iteration Method for the Nonlinear Volterra Integral Equation. - Huy-Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin:
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera. - Stefan Meintrup, Alexander Munteanu, Dennis Rohde:
Random projections and sampling algorithms for clustering of high-dimensional polygonal curves. - Michael Elkin, Ofer Neiman:
Lossless Prioritized Embeddings. - João Carreira, Eric Noland, Chloe Hillier, Andrew Zisserman:
A Short Note on the Kinetics-700 Human Action Dataset. - Róbert Adrian Rill:
Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information. - Md Rushdie Ibne Islam, Chong Peng:
A stabilized total-Lagrangian SPH method for large deformation and failure in geomaterials. - Qinjie Liu, Shun Zhang:
Adaptive Flux-Only Least-Squares Finite Element Methods for Linear Transport Equations. - Nicholas Carrara:
The Design of Mutual Information. - Stefano V. Albrecht, Subramanian Ramamoorthy:
On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. - Alberto Testolin, Serena Dolfi, Mathijs Rochus, Marco Zorzi:
Perception of visual numerosity in humans and machines. - Xiaowei Zhou, Ivor W. Tsang, Jie Yin:
Latent Adversarial Defence with Boundary-guided Generation. - Moreno Marzolla, Raffaela Mirandola:
Gender Balance in Computer Science and Engineering in Italian Universities. - Bryan Ford:
Threshold Logical Clocks for Asynchronous Distributed Coordination and Consensus. - Boxi Wu, Shuai Zhao, Wenqing Chu, Zheng Yang, Deng Cai:
Improving Semantic Segmentation via Dilated Affinity. - Samuele Zoppi, Touraj Soleymani, Markus Klügel, Mikhail Vilgelm, Sandra Hirche, Wolfgang Kellerer:
Transmission Power Control for Remote State Estimation in Industrial Wireless Sensor Networks. - Daniel Hausmann, Lutz Schröder:
Computing Nested Fixpoints in Quasipolynomial Time. - Panagiotis Meletis, Rob Romijnders, Gijs Dubbelman:
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision. - Rituraj Kaushik, Pierre Desreumaux, Jean-Baptiste Mouret:
Adaptive Prior Selection for Repertoire-based Online Learning in Robotics. - Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan R. Mayer, Marshini Chetty, Arvind Narayanan:
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites. - Sooji Han, Jie Gao, Fabio Ciravegna:
Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection. - Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng:
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. - Silvan Melchior, Felix Berkenkamp, Sebastian Curi, Andreas Krause:
Structured Variational Inference in Unstable Gaussian Process State Space Models. - Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks, Mark A. Girolami:
Embedded Ridge Approximations: Constructing Ridge Approximations Over Localized Scalar Fields For Improved Simulation-Centric Dimension Reduction. - Paolo Baldan, Alessandra Raffaetà:
Minimisation of Event Structures. - Borna Bicanic, Marin Orsic, Ivan Markovic, Sinisa Segvic, Ivan Petrovic:
Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings. - Hayyu Imanda, Joss Wright:
Location Privacy in Conservation. - Szymon Talaga, Andrzej Nowak:
Homophily as a process generating social networks: insights from Social Distance Attachment model. - Jing Shu, Pakpong Chirarattananon:
A Quadrotor with an Origami-Inspired Protective Mechanism. - Farzan Erlik Nowruzi, Prince Kapoor, Dhanvin Kolhatkar, Fahed Al Hassanat, Robert Laganière, Julien Rebut:
How much real data do we actually need: Analyzing object detection performance using synthetic and real data. - Jarek Duda:
SGD momentum optimizer with step estimation by online parabola model. - Claudia N. Sánchez, Mario Graff:
Selection Heuristics on Semantic Genetic Programming for Classification Problems. - Doug Beeferman, William Brannon, Deb Roy:
RadioTalk: a large-scale corpus of talk radio transcripts. - Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier:
Prediction of neural network performance by phenotypic modeling. - Walter Hussak, Amitabh Trehan:
On The Termination of a Flooding Process. - Federico Pichi, Annalisa Quaini, Gianluigi Rozza:
A Reduced Order technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation. - Sven Jacobsson, Lise Aabel, Mikael Coldrey, Ibrahim Can Sezgin, Christian Fager, Giuseppe Durisi, Christoph Studer:
Massive MU-MIMO-OFDM Uplink with Direct RF-Sampling and 1-Bit ADCs. - Eugenia A. Politou, Fran Casino, Efthimios Alepis, Constantinos Patsakis:
Blockchain Mutability: Challenges and Proposed Solutions. - Jean Barbier:
Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference. - Yuan Cao, Yonglin Cao, Hai Q. Dinh, Somphong Jitman:
An efficient method to construct self-dual cyclic codes of length ps over Fpm+uFpm. - Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari:
DeepRace: Finding Data Race Bugs via Deep Learning. - Yuan Cao, Yonglin Cao, Hai Q. Dinh, Fang-Wei Fu, Fanghui Ma:
Construction and enumeration for self-dual cyclic codes of even length over F2m + uF2m. - Stefan Kunis, Dominik Nagel:
On the smallest singular value of multivariate Vandermonde matrices with clustered nodes. - Nguyen Phong Hoang, Sadie Doreen, Michalis Polychronakis:
Measuring I2P Censorship at a Global Scale. - Kin Sum Liu, Chien-Chun Ni, Yu-Yao Lin, Jie Gao:
Topology Based Scalable Graph Kernels. - Muris Sarajlic, Liang Liu, Henrik Sjöland, Ove Edfors:
Low Power Receiver Front Ends: Scaling Laws and Applications. - Adrian Coman, Elena Apostol, Catalin Adrian Leordeanu, Emil Slusanschi:
Hydrodynamic Simulations using GPGPU Architectures. - Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo:
Step-by-Step Community Detection for Volume-Regular Graphs. - Jörn Koepe:
Object-Capability as a Means of Permission and Authority in Software Systems. - Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov:
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. - Mengwei Yang, Linqi Song, Jie Xu, Congduan Li, Guozhen Tan:
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost. - Silvia Sekander, Hina Tabassum, Ekram Hossain:
On the Performance of Renewable Energy-Powered UAV-Assisted Wireless Communications. - Akond Rahman, Md. Rayhanur Rahman, Chris Parnin, Laurie A. Williams:
Security Smells in Infrastructure as Code Scripts. - Yu Chen, Guan Wang:
EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud. - Yusan Lin, Hao Yang:
Predicting Next-Season Designs on High Fashion Runway. - Yash Goyal, Uri Shalit, Been Kim:
Explaining Classifiers with Causal Concept Effect (CaCE). - Deeksha Adil, Richard Peng, Sushant Sachdeva:
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression. - Ali Jahanian, Lucy Chai, Phillip Isola:
On the "steerability" of generative adversarial networks. - Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song:
Natural Adversarial Examples. - Alessandra Urbinati, Edoardo Galimberti, Giancarlo Ruffo:
Hubs and authorities of the scientific migration network. - Rafael Rossi de Mello Brandão, Joel Luis Carbonera, Clarisse S. de Souza, Juliana S. Jansen Ferreira, Bernardo N. Gonçalves, Carla Faria Leitão:
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications. - Avik Pal:
RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction. - Nancy Nayak, Vishnu Raj, Sheetal Kalyani:
Leveraging online learning for CSS in frugal IoT network. - Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz, Scott Niekum:
Understanding Teacher Gaze Patterns for Robot Learning. - Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Jr.:
Online Local Boosting: improving performance in online decision trees. - Andrey Bokovoy, Kirill Muravyev, Konstantin S. Yakovlev:
Real-time Vision-based Depth Reconstruction with NVidia Jetson. - Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica:
Helen: Maliciously Secure Coopetitive Learning for Linear Models. - Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard:
Learning Multimodal Fixed-Point Weights using Gradient Descent. - Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi:
Fairness-enhancing interventions in stream classification. - Ashok Jallepalli, Joshua A. Levine, Robert M. Kirby:
The Effect of Data Transformations on Scalar Field Topological Analysis of High-Order FEM Solutions. - C. Bayan Bruss, Anish Khazane, Jonathan Rider, Richard Serpe, Antonia Gogoglou, Keegan E. Hines:
DeepTrax: Embedding Graphs of Financial Transactions. - Igor Slinko, Anna Vorontsova, Filipp Konokhov, Olga Barinova, Anton Konushin:
Scene Motion Decomposition for Learnable Visual Odometry. - Rahul Pandey, Carlos Castillo, Hemant Purohit:
Modeling Human Annotation Errors to Design Bias-Aware Systems for Social Stream Processing. - Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique:
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. - Umang Bhaskar, Gunjan Kumar:
The Complexity of Partial Function Extension for Coverage Functions. - Stephen Bottos, Balakumar Balasingam:
A Novel Slip-Kalman Filter to Track the Progression of Reading Through Eye-Gaze Measurements. - Wenbin Zhang, Eirini Ntoutsi:
FAHT: An Adaptive Fairness-aware Decision Tree Classifier. - Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. - Ganesh Nalluru, Rahul Pandey, Hemant Purohit:
Relevancy Classification of Multimodal Social Media Streams for Emergency Services. - Lars Brenna, Håvard D. Johansen, Dag Johansen:
A Survey of Automatic Methods for Nutritional Assessment. - Justin D. Harris, Bo Waggoner:
Decentralized & Collaborative AI on Blockchain. - Mirco Richter:
Crisis: Probabilistically Self Organizing Total Order in Unstructured P2P Networks. - Panos N. Alevizos, Aggelos Bletsas:
Inference-Based Resource Allocation for Multi-Cell Backscatter Sensor Networks. - Muskaan, Mehak Preet Dhaliwal, Aaditeshwar Seth:
Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content. - Mohammad Ibrahim Sarker, Zubaer Ibna Mannan, Hyongsuk Kim:
Optimizing method for Neural Network based on Genetic Random Weight Change Learning Algorithm. - Aras R. Dargazany:
Iterative temporal differencing with random synaptic feedback weights support error backpropagation for deep learning. - Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke:
Unbiased Learning to Rank: Counterfactual and Online Approaches. - Yantong Wang, Vasilis Friderikos:
Caching as an Image Characterization Problem using Deep Convolutional Neural Networks. - Angelo Basile, Albert Gatt, Malvina Nissim:
You Write Like You Eat: Stylistic variation as a predictor of social stratification. - Saeed Rezazadeh, Fady Alajaji, Wai-Yip Chan:
Scalar Quantizer Design for Two-Way Channels. - Israel A. Laurensi R., Luciana Trinkaus Menon, Manoel Camillo O. Penna N., Alessandro L. Koerich, Alceu S. Britto Jr.:
Style Transfer Applied to Face Liveness Detection with User-Centered Models. - He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan:
An Inductive Synthesis Framework for Verifiable Reinforcement Learning. - Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Relation Network for Multi-label Aerial Image Classification. - John Cook, Rishab Nithyanand, Zubair Shafiq:
Inferring Tracker-Advertiser Relationships in the Online Advertising Ecosystem using Header Bidding. - Daniele Facinelli, Matteo Larcher, Davide Brunelli, Daniele Fontanelli:
Cooperative UAVs Gas Monitoring using Distributed Consensus. - Oualid Benamara, Fatiha Merazka:
A New Distribution Version of Boneh-Goh-Nissim Cryptosystem: Security and performance analysis. - Vikraman Choudhury, Neel Krishnaswami:
Recovering Purity with Comonads and Capabilities. - Simon Guiroy, Vikas Verma, Christopher J. Pal:
Towards Understanding Generalization in Gradient-Based Meta-Learning. - Arif Siddiqi:
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods. - Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski:
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics. - Shuaicheng Ma, Yang Cao, Li Xiong:
Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit. - Ngo Thanh Binh, Khuat Van Ninh:
Corrections on A numerical method for solving nonlinear Volterra-Fredholm integral equations. - Xinalian Zhou, Ashley Mont, Sergei V. Adamovich:
Evaluation of a 1-DOF Hand Exoskeleton for Neuromuscular Rehabilitation. - Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos. - Mahmoud Elkhodr, Zuhaib Bari Mufti:
On the challenges of data provenance in the Internet of Things. - Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia:
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning. - Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean, Richard J. B. Dobson:
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation. - Léo Bouscarrat, Antoine Bonnefoy, Thomas Peel, Cécile Pereira:
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings. - Ross Harper, Joshua Southern:
End-To-End Prediction of Emotion From Heartbeat Data Collected by a Consumer Fitness Tracker. - Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen:
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering. - Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner:
An Embedding Framework for Consistent Polyhedral Surrogates. - Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark:
Learnability for the Information Bottleneck. - Sergey Podlesnyy:
Towards Data-Driven Automatic Video Editing. - Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu:
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. - Kai-Chou Yang, Timothy Niven, Hung-Yu Kao:
Fake News Detection as Natural Language Inference. - Tero Lähderanta, Teemu Leppänen, Leena Ruha, Lauri Lovén, Erkki Harjula, Mika Ylianttila, Jukka Riekki, Mikko J. Sillanpää:
Edge server placement with capacitated location allocation. - Zhaoqi Zhang, Panpan Qi, Wei Wang:
Dynamic Malware Analysis with Feature Engineering and Feature Learning. - Timothy Niven, Hung-Yu Kao:
Probing Neural Network Comprehension of Natural Language Arguments. - Alessandro Chiolerio, Thomas C. Draper, Richard Mayne, Andrew Adamatzky:
On resistance switching and oscillations in tubulin microtubule droplets. - Jwo-Yuh Wu, Liang-Chi Huang, Ming-Hsun Yang, Chun-Hung Liu:
Sparse Subspace Clustering via Two-Step Reweighted L1-Minimization: Algorithm and Provable Neighbor Recovery Rates. - Yen-Hao Huang, Yi-Hsin Chen, Fernando Henrique Calderon Alvarado, Ssu-Rui Lee, Shu-I Wu, Yuwen Lai, Yi-Shin Chen:
Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences. - Zekun Ye, Yunqi Huang, Yuyi Wang, Lvzhou Li:
Almost tight bound on the query complexity of generalized Simon's problem. - Andreas Fellner, Mitra Tabaei Befrouei, Georg Weissenbacher:
Mutation Testing with Hyperproperties. - Erico Tjoa, Cuntai Guan:
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI. - Eunbi Seo, Hyun Min Song, Huy Kang Kim:
GIDS: GAN based Intrusion Detection System for In-Vehicle Network. - C. Maria Keet, Zola Mahlaza, Mary-Jane Antia:
CLaRO: a Data-driven CNL for Specifying Competency Questions. - Haoyue Tang, Jintao Wang, Zihan Tang, Jian Song:
Scheduling to Minimize Age of Synchronization in Wireless Broadcast Networks with Random Updates. - Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz:
DeepNC: Deep Generative Network Completion. - Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli:
Feature Selection via Mutual Information: New Theoretical Insights. - Martin Aumüller, Matteo Ceccarello:
The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. - Samarth Brahmbhatt, Charles C. Kemp, James Hays:
Towards Markerless Grasp Capture. - Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu, Anyan Shi:
HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods. - Olena Palii, Matthias Schlottbom:
On a convergent DSA preconditioned source iteration for a DGFEM method for radiative transfer. - Florin Rusu, Zhiyi Huang:
In-Depth Benchmarking of Graph Database Systems with the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB). - Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation. - Prasad Bhavana, Vikas Kumar, Vineet Padmanabhan:
Block based Singular Value Decomposition approach to matrix factorization for recommender systems. - Martin Charles Golumbic, Edward R. Scheinerman:
Containment Graphs, Posets, and Related Classes of Graphs. - Krishna Chaitanya Kosaraju, Yu Kawano, Jacquelien M. A. Scherpen:
Differential Passivity based Dynamic Controllers. - Hwaran Lee, Jinsik Lee, Tae-Yoon Kim:
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking. - Lei Wang, Bo Ai, Yong Niu, Xia Chen, Pan Hui:
Energy-Efficient Power Control of Train-ground mmWave Communication for High Speed Trains. - Piotr Kaczmarek, Tomasz Mankowski, Jakub Tomczynski:
putEMG - a surface electromyography hand gesture recognition dataset. - Ilya Afanasyev, Alexander Kolotov, Ruslan Rezin, Konstantin Danilov, Manuel Mazzara, Subham Chakraborty, Alexey M. Kashevnik, Andrey Chechulin, Aleksandr A. Kapitonov, Vladimir Jotsov, Andon V. Topalov, Nikola Georgiev Shakev, Sevil Ahmed:
Towards Blockchain-based Multi-Agent Robotic Systems: Analysis, Classification and Applications. - Hernán González-Aguilar, David Orden, Pablo Pérez-Lantero, David Rappaport, Carlos Seara, Javier Tejel, Jorge Urrutia:
Maximum rectilinear convex subsets. - Yang Zhang, Qingtao Tang, Yiming Li, Weipéng Huáng, Shutao Xia:
t-k-means: A k-means Variant with Robustness and Stability. - Shiping Zhu, Lanyun Zhu:
OGNet: Salient Object Detection with Output-guided Attention Module. - Marc Demange, David Ellison, Raffaella Gentilini:
Online Firefighting on Grids. - Ernst Hairer, Christian Lubich, Bin Wang:
A filtered Boris algorithm for charged-particle dynamics in a strong magnetic field. - Mahdi Dibaei, Xi Zheng, Kun Jiang, Sasa Maric, Robert Abbas, Shigang Liu, Yuexin Zhang, Yao Deng, Sheng Wen, Jun Zhang, Yang Xiang, Shui Yu:
An Overview of Attacks and Defences on Intelligent Connected Vehicles. - Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Improving Outbreak Detection with Stacking of Statistical Surveillance Methods. - Andrey Krekhov, Sebastian Cmentowski, Katharina Emmerich, Jens H. Krüger:
Beyond Human: Animals as an Escape from Stereotype Avatars in Virtual Reality Games. - Kailiang Wu, Chi-Wang Shu:
Entropy Symmetrization and High-Order Accurate Entropy Stable Numerical Schemes for Relativistic MHD Equations. - Sangil Lee, Haram Kim, H. Jin Kim:
Edge Detection for Event Cameras using Intra-pixel-area Events. - Nir Ailon:
Interesting Open Problem Related to Complexity of Computing the Fourier Transform and Group Theory. - Márton Karsai:
Computational Human Dynamics. - Binod Kharel, Onel L. Alcaraz López, Hirley Alves, Matti Latva-aho:
Achieving Ultra-Reliable Communication via CRAN-Enabled Diversity Schemes. - Murari Mandal, Manal Shah, Prashant Meena, Sanhita Devi, Santosh Kumar Vipparthi:
AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data. - Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
Remaining Useful Lifetime Prediction via Deep Domain Adaptation. - Weile Zhang, Nan Zhao, Shun Zhang, F. Richard Yu:
Multi-Antenna Covert Communications with Random Access Protocol. - Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel:
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming. - Chenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, Jin Tang:
Multi-Adapter RGBT Tracking. - Alessandro Erba, Riccardo Taormina, Stefano Galelli, Marcello Pogliani, Michele Carminati, Stefano Zanero, Nils Ole Tippenhauer:
Real-time Evasion Attacks with Physical Constraints on Deep Learning-based Anomaly Detectors in Industrial Control Systems. - Carl-Maria Mörch, Abhishek Gupta, Brian L. Mishara:
Canada Protocol: an ethical checklist for the use of Artificial Intelligence in Suicide Prevention and Mental Health. - Martin Maritsch, Caterina Bérubé, Mathias Kraus, Vera Lehmann, Thomas Züger, Stefan Feuerriegel, Tobias Kowatsch, Felix Wortmann:
Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning. - Kalle Hjerppe, Jukka Ruohonen, Ville Leppänen:
The General Data Protection Regulation: Requirements, Architectures, and Constraints. - Miroslav Bogdanovic, Majid Khadiv, Ludovic Righetti:
Learning Variable Impedance Control for Contact Sensitive Tasks. - Andrew M. Pitts:
Typal Heterogeneous Equality Types. - Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson:
Subspace Inference for Bayesian Deep Learning. - Martino Borello, Javier de la Cruz, Wolfgang Willems:
A Note on Linear Complementary Pairs of Group Codes. - Guntis Barzdins, Eduards Sidorovics:
Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe. - Guillaume Noyel:
A Link Between the Multiplicative and Additive Functional Asplund's Metrics. - Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Louise Molitor, Marcus Pappik, Friedrich Schöne, Fabian Sommer, David Stangl:
Convergence and Hardness of Strategic Schelling Segregation. - Antea Hadviger, Ivan Markovic, Ivan Petrovic:
Stereo Event Lifetime and Disparity Estimation for Dynamic Vision Sensors. - Luka Petrovic, Juraj Persic, Marija Seder, Ivan Markovic:
Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes. - Valentina Bellomaria, Giuseppe Castellucci, Andrea Favalli, Raniero Romagnoli:
Almawave-SLU: A new dataset for SLU in Italian. - Ekaterina V. Gromova, Ekaterina Marova, Dmitry Gromov:
A substitute for the classical Neumann-Morgenstern characteristic function in cooperative differential games. - Alex Church, Jasper Wollaston James, Luke Cramphorn, Nathan F. Lepora:
Tactile Model O: Fabrication and testing of a 3d-printed, three-fingered tactile robot hand. - Peter Usherwood, Steven Smit:
Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches. - Johannes Wallner:
Geometric subdivision and multiscale transforms. - Luyao Niu, Andrew Clark:
Optimal Secure Control with Linear Temporal Logic Constraints. - Lawrence C. Paulson:
Inductive Analysis of the Internet Protocol TLS. - Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz:
Self-Attentive Hawkes Processes. - Ambrus Kaposi, András Kovács, Nicolai Kraus:
Shallow Embedding of Type Theory is Morally Correct. - Madan Gopal Jhawar, Vipindeep Vangala, Nishchay Sharma, Ankur Hayatnagarkar, Mansi Saxena, Swati Valecha:
Conversational Help for Task Completion and Feature Discovery in Personal Assistants. - Feng Wang, Jie Xu, Shuguang Cui:
Optimal Energy Allocation and Task Offloading Policy for Wireless Powered Mobile Edge Computing Systems. - Dylan Rijnen, Jason Rhuggenaath, Paulo R. de O. da Costa, Yingqian Zhang:
Machine Learning based Simulation Optimisation for Trailer Management. - Hongje Seong, Junhyuk Hyun, Euntai Kim:
FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition. - Ankit Gupta, Elliott Ruebush:
AquaSight: Automatic Water Impurity Detection Utilizing Convolutional Neural Networks. - Vladimir Braverman, Harry Lang, Enayat Ullah, Samson Zhou:
Improved Algorithms for Time Decay Streams. - Zixun Sun, Shuang Zhao, Chengwei Zhu, Xiao Chen:
News Cover Assessment via Multi-task Learning. - Ogul Can, Yeti Ziya Gürbüz, A. Aydin Alatan:
Deep Metric Learning with Alternating Projections onto Feasible Sets. - Mike Innes, Alan Edelman, Keno Fischer, Christopher Rackauckas, Elliot Saba, Viral B. Shah, Will Tebbutt:
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing. - Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan:
Mitigating Uncertainty in Document Classification. - Lawrence C. Paulson:
Defining Functions on Equivalence Classes. - Madi Zholbaryssov, Christoforos N. Hadjicostis, Alejandro D. Domínguez-García:
Fast Distributed Coordination of Distributed Energy Resources Over Time-Varying Communication Networks. - Lanyu Shang, Daniel Zhang, Michael Wang, Shuyue Lai, Dong Wang:
Towards Reliable Online Clickbait Video Detection: A Content-Agnostic Approach. - Ece Naz Erdemir, Pier Luigi Dragotti, Deniz Gündüz:
Privacy-Aware Location Sharing with Deep Reinforcement Learning. - Tianyu Yang, Antoni B. Chan:
Visual Tracking via Dynamic Memory Networks. - Cecilia Magherini:
Weakly regular Sturm-Liouville problems: a corrected spectral matrix method. - Sara Beery, Dan Morris, Pietro Perona:
The iWildCam 2019 Challenge Dataset. - Amin Mosayyebzadeh, Gerardo Ravago, Apoorve Mohan, Ali Raza, Sahil Tikale, Nabil Schear, Trammell Hudson, Jason Hennessey, Naved Ansari, Kyle Hogan, Charles Munson, Larry Rudolph, Gene Cooperman, Peter Desnoyers, Orran Krieger:
A Secure Cloud with Minimal Provider Trust. - Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha:
On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems. - Pavel Surynek:
On the Tour Towards DPLL(MAPF) and Beyond. - Janarthanan Rajendran, Jatin Ganhotra, Lazaros Polymenakos:
Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use. - A. Emin Orhan:
Robustness properties of Facebook's ResNeXt WSL models. - Luca Maria Castiglione, Paolo Falcone, Alberto Petrillo, Simon Pietro Romano, Stefania Santini:
Cooperative Intersection Crossing over 5G. - Iskandar Aripov:
The Statistical Analysis of the Live TV Bit Rate. - Lauren Parker, James Butterworth, Shan Luo:
Fly Safe: Aerial Swarm Robotics using Force Field Particle Swarm Optimisation. - Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa, Isura Manchanayake, Malaka J. Walpola, Rashmika Nawaratne, Tharindu R. Bandaragoda, Damminda Alahakoon:
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs. - Gobinda Rakshit, Rekha P. Kulkarni:
Richardson extrapolation for the discrete iterated modified projection solution. - Lynn H. Kaack, George H. Chen, M. Granger Morgan:
Truck Traffic Monitoring with Satellite Images. - Yuan Yang, Yang Shi, Daniela Constantinescu:
Connectivity-Preserving Swarm Teleoperation Over A Tree Network With Time-Varying Delays. - Shahin Atakishiyev, Marek Z. Reformat:
Analysis of Word Embeddings using Fuzzy Clustering. - Deepak Pahwa, Binil Starly:
Network Based Pricing for 3D Printing Services in Two-Sided Manufacturing-as-a-Service Marketplace. - Ankit Gupta, Kartik Chugh, Andrea Solis, Thomas D. LaToza:
User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features. - Luyan Xu, Xuan Zhou, Ujwal Gadiraju:
Revealing the Role of User Moods in Struggling Search Tasks. - Pietro Pierpaoli, Anqi Li, Mohit Srinivasan, Xiaoyi Cai, Samuel Coogan, Magnus Egerstedt:
A Sequential Composition Framework for Coordinating Multi-Robot Behaviors. - Riccardo Colini-Baldeschi, Stefano Leonardi, Okke Schrijvers, Eric Sodomka:
Envy, Regret, and Social Welfare Loss. - Adrian Rivera Cardoso, Jacob D. Abernethy, He Wang, Huan Xu:
Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs. - Hussein Alrubaye:
How Does API Migration Impact Software Quality and Comprehension? An Empirical Study. - Marc-André Kaufhold, Christian Reuter, Thomas Ludwig:
Cross-Media Usage of Social Big Data for Emergency Services and Volunteer Communities: Approaches, Development and Challenges of Multi-Platform Social Media Services. - Arash Rahnama, André T. Nguyen, Edward Raff:
Connecting Lyapunov Control Theory to Adversarial Attacks. - Yaochen Hu, Peng Liu, Linglong Kong, Di Niu:
Learning Privately over Distributed Features: An ADMM Sharing Approach. - Yifu Ding, Roberto Moreira, Dagoberto Cedillos:
Assessment of the Value of Frequency Response Times in Power Systems. - Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa A. Troester, Charles M. Perou, Marc Niethammer:
Deep Multi-View Learning via Task-Optimal CCA. - Oscar Rahnama, Tommaso Cavallari, Stuart Golodetz, Alessio Tonioni, Thomas Joy, Luigi Di Stefano, Simon Walker, Philip H. S. Torr:
Real-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC. - Robin Tibor Schirrmeister, Tonio Ball:
Deep Invertible Networks for EEG-based brain-signal decoding. - Wenbo Sui, Carrie M. Hall, Gina Kapadia:
Cylinder-Specific Model-Based Control of Combustion Phasing for Multiple-Cylinder Diesel Engines Operating with High Dilution and Boost Levels. - Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White:
Meta-descent for Online, Continual Prediction. - D. Kempen, A. Piccolroaz, Davide Bigoni:
Thermomechanical modelling of ceramic pressing and subsequent sintering. - Renganathan Subramanian, Shweta Singh:
Can Machine Learning Identify Governing Laws For Dynamics in Complex Engineered Systems ? : A Study in Chemical Engineering. - Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu:
XFake: Explainable Fake News Detector with Visualizations. - Massimo Franceschet, Giovanni Colavizza:
Art Metrics. - Bin Guo, Yasan Ding, Yueheng Sun, Shuai Ma, Ke Li:
The Mass, Fake News, and Cognition Security. - Georgios Mylonas, Dimitrios Amaxilatis, Stelios Tsampas, Lidia Pocero, Joakim Gunneriusson:
A Methodology for Saving Energy in Educational Buildings Using an IoT Infrastructure. - Martin Leucker, César Sánchez, Torben Scheffel, Malte Schmitz, Daniel Thoma:
Runtime Verification For Timed Event Streams With Partial Information. - Eugênio Pacceli Reis da Fonseca, Evandro Caldeira, Heitor Soares Ramos Filho, Leonardo Barbosa e Oliveira, Adriano César Machado Pereira, Pierre Santos Vilela:
Agro 4.0: A Green Information System for Sustainable Agroecosystem Management. - Ahmed B. Ablak, Issam W. Damaj:
HTCC: Haskell to Handel-C Compiler. - Hina Binte Haq, Ronan McDermott, Syed Taha Ali:
Pakistan's Internet Voting Experiment. - Masoud Mansoury, Robin Burke, Bamshad Mobasher:
Flatter is better: Percentile Transformations for Recommender Systems. - Andrey Nechesov:
Delta - new logic programming language and Delta-methodology for p-computable programs on Turing Complete Languages. - Avishek Bose, Vahid Behzadan, Carlos A. Aguirre, William H. Hsu:
A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams. - Peter J. Scott, Roman V. Yampolskiy:
Classification Schemas for Artificial Intelligence Failures. - Patrick Kinyua Gikunda:
Modern CNNs for IoT Based Farms. - Junya Ikemoto, Toshimitsu Ushio:
Model-free Control of Chaos with Continuous Deep Q-learning. - Eduardo Olmedo Sanchez, Xian-He Sun:
CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers. - Abdulaziz S. Alashaikh, Eisa A. Alanazi:
A Survey of Preferences in Virtual Machine Placement. - Alex Burnap, John R. Hauser, Artem Timoshenko:
Design and Evaluation of Product Aesthetics: A Human-Machine Hybrid Approach. - Xin Li, Xiaowen Ying, Mooi Choo Chuah:
GRIP: Graph-based Interaction-aware Trajectory Prediction. - Alex Sanchez-Stern, Yousef Alhessi, Lawrence K. Saul, Sorin Lerner:
Generating Correctness Proofs with Neural Networks. - Niels Möller:
Efficient computation of the Jacobi symbol. - Garrett Wilson, Diane J. Cook:
Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence. - Alexander William Wong, Amir Salimi, Shaiful Alam Chowdhury, Abram Hindle:
Syntax and Stack Overflow: A methodology for extracting a corpus of syntax errors and fixes. - Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain:
OmniNet: A unified architecture for multi-modal multi-task learning. - Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, Christian L. Müller:
Stability selection enables robust learning of partial differential equations from limited noisy data. - Jean-Louis Lassez:
Solving Systems of Linear Inequalities. - Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. - Manash Pratim Barman, Amit Awekar, Sambhav Kothari:
Decoding the Style and Bias of Song Lyrics. - Zlatan Ajanovic, Enrico Regolin, Georg Stettinger, Martin Horn, Antonella Ferrara:
Search-Based Motion Planning for Performance Autonomous Driving. - Md. Ataur Rahman, Md. Hanif Seddiqui:
Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis. - Vedat Levi Alev, Fernando Granha Jeronimo, Madhur Tulsiani:
Approximating Constraint Satisfaction Problems on High-Dimensional Expanders. - Peixiang Zhong, Di Wang, Chunyan Miao:
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks. - Ming Dong, Kaigui Xie, Qingxin Shi:
Multi-year Long-term Load Forecast for Area Distribution Feeders based on Selective Sequence Learning. - Kang Huang, Wanchun Liu, Yonghui Li, Branka Vucetic:
Optimal Downlink-Uplink Scheduling of Wireless Networked Control for Industrial IoT. - Qian Zhang, Yinhua Xia:
Discontinuous Galerkin methods for short pulse type equations via hodograph transformations. - Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Growing a Brain: Fine-Tuning by Increasing Model Capacity. - Asahi Takaoka:
Linear-semiorders and their incomparability graphs. - (Withdrawn) Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration.
- Saeed Afshar, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen:
Event-based Feature Extraction Using Adaptive Selection Thresholds. - Wentao Yao, Zixun Sun, Xiao Chen:
Understanding Video Content: Efficient Hero Detection and Recognition for the Game "Honor of Kings". - Vivian Li, Alon Y. Halevy, Adi Zief-Balteriski, Wang-Chiew Tan, George A. Mihaila, John Morales, Natalie Nuno, Huining Liu, Chen Chen, Xiaojuan Ma, Shani Robins, Jessica Johnson:
Jo: The Smart Journal. - Rubayet Shafin Bradley Shafin, Lingjia Liu, Vikram Chandrasekhar, Hao Chen, Jeffrey H. Reed, Jianzhong Zhang:
Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G. - Saeed Anwar, Chongyi Li:
Diving Deeper into Underwater Image Enhancement: A Survey. - Hunmin Kim, Minghui Zhu:
Optimal Bi-level Lottery Design for Multi-agent Systems. - Euntae Choi, Kyungmi Lee, Kiyoung Choi:
Autoencoder-Based Incremental Class Learning without Retraining on Old Data. - Harsha Perera, Arif Nurwidyantoro, Waqar Hussain, Davoud Mougouei, Jon Whittle, Rifat Ara Shams, Gillian C. Oliver:
A Study on the Prevalence of Human Values in Software Engineering Publications, 2015-2018. - Aravind Sivaramakrishnan, Zakary Littlefield, Kostas E. Bekris:
Towards Learning Efficient Maneuver Sets for Kinodynamic Motion Planning. - Dhananjay Nahata, Harish Kumar Mulchandani, Suraj Bansal, G. Muthukumar:
Post-Earthquake Assessment of Buildings Using Deep Learning. - Zhipeng Zhou, Rui Zhang, Dong Yin:
A Strong Feature Representation for Siamese Network Tracker. - Suneel Sarswat, Abhishek Kr Singh:
Formal verification of trading in financial markets. - Mustafa Emara, Hesham ElSawy, Gerhard Bauch:
Prioritized Multi-stream Traffic in Uplink IoT Networks: Spatially Interacting Vacation Queues. - Andrej Brodnik, Aleksander Malnic, Rok Pozar:
Fast permutation-word multiplication and the simultaneous conjugacy problem. - Julia Schulte, Daniel Staps, Alexander Lampe:
A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements. - Alexa Hagerty, Igor Rubinov:
Global AI Ethics: A Review of the Social Impacts and Ethical Implications of Artificial Intelligence. - Shuyang Tang, Jilai Zheng, Yao Deng, Ziyu Wang, Zhiqiang Liu, Dawu Gu:
Towards a Multi-Chain Future of Proof-of-Space. - Karlis Freivalds, Emils Ozolins, Agris Sostaks:
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time. - Jintao Yu, Hoang Anh Du Nguyen, Lei Xie, Mottaqiallah Taouil, Said Hamdioui:
Memristive Devices for Computation-In-Memory. - Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng:
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video. - Tingting Zhao, Hang Zhang, Jacob Spoelstra:
A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images. - Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori:
On the relation between Loss Functions and T-Norms. - Václav Blazej, Jan Matyás Kristan, Tomás Valla:
On the m-eternal Domination Number of Cactus Graphs. - Yanyan Fang, Biyun Zhan, Wandi Cai, Shenghua Gao, Bo Hu:
Locality-constrained Spatial Transformer Network for Video Crowd Counting. - Fangwei Ye, Carolina Naim, Salim El Rouayheb:
Preserving ON-OFF Privacy for Past and Future Requests. - Andrei A. Bulatov, Stanislav Zivný:
Approximate counting CSP seen from the other side. - Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler:
FBLAS: Streaming Linear Algebra on FPGA. - Ajoy K. Datta, Stéphane Devismes, Colette Johnen, Lawrence L. Larmore:
Analysis of a Memory-Efficient Self-Stabilizing BFS Spanning Tree. - Yang Song, Chenlin Meng, Stefano Ermon:
MintNet: Building Invertible Neural Networks with Masked Convolutions. - Yasuko Kawahata, Akira Ishii:
Consensus formation Online using Sociophysics method. - Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? - Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé:
Transfer Learning Across Simulated Robots With Different Sensors. - Agathe Baltzer, Márton Karsai, Camille Roth:
Interactional and Informational Attention on Twitter. - Aditya Potukuchi:
On the AC0[⊕] complexity of Andreev's Problem. - Zulfat Miftahutdinov, Elena Tutubalina:
Deep Neural Models for Medical Concept Normalization in User-Generated Texts. - Pedro Ribeiro, James Baxter, Ana Cavalcanti:
Priorities in tock-CSP. - Pierre Escamilla, Michèle A. Wigger, Abdellatif Zaidi:
Distributed Hypothesis Testing: Cooperation and Concurrent Detection. - Jan van den Brand, Thatchaphol Saranurak:
Sensitive Distance and Reachability Oracles for Large Batch Updates. - Dominik Aumayr, Stefan Marr, Elisa Gonzalez Boix, Hanspeter Mössenböck:
Asynchronous Snapshots of Actor Systems for Latency-Sensitive Applications. - Neslihan Kose, Okan Köpüklü, Alexander Unnervik, Gerhard Rigoll:
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach. - Xiao Ding, Zhongyang Li, Ting Liu, Kuo Liao:
ELG: An Event Logic Graph. - Johan Ferret, Raphaël Marinier, Matthieu Geist, Olivier Pietquin:
Credit Assignment as a Proxy for Transfer in Reinforcement Learning. - Soheila Ghane, Lars Kulik, Kotagiri Ramamohanarao:
A Differentially Private Algorithm for Range Queries on Trajectories. - Hanten Chang, Katsuya Futagami:
Convolutional Reservoir Computing for World Models. - Sidra Zafar, Waqas Aman, Muhammad Mahboob Ur Rahman, Akram Alomainy, Qammer H. Abbasi:
Channel Impulse Response-based Physical Layer Authentication in a Diffusion-based Molecular Communication System. - Yonal Kirsal, Yoney Kirsal Ever:
Approximate Solution Approach and Performability Evaluation of Large Scale Beowulf Clusters. - Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco:
Total variation based community detection using a nonlinear optimization approach. - Mansi Sood, Osman Yagan:
Towards k-connectivity in Heterogeneous Sensor Networks under Pairwise Key Predistribution. - Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-supervised Training of Proposal-based Segmentation via Background Prediction. - Jie Xu:
READ: a three-communicating-stage distributed super points detections algorithm. - Andreas Grammenos, Rodrigo Mendoza-Smith, Cecilia Mascolo, Jon Crowcroft:
Federated PCA with Adaptive Rank Estimation. - Oron Sabag, Bashar Huleihel, Haim H. Permuter:
Graph-Based Encoders and their Performance for Finite-State Channels with Feedback. - Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani:
Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation. - Songnan Bai, Pakpong Chirarattananon:
Design and Take-Off Flight of a Samara-Inspired Revolving-Wing Robot. - Giulia Orrù, Pierluigi Tuveri, Luca Ghiani, Gian Luca Marcialis:
Analysis of "User-Specific Effect" and Impact of Operator Skills on Fingerprint PAD Systems. - Yuan Cao, Qiuying Li, Lei Chen, Junping Zhang, Leiming Ma:
Video Prediction for Precipitation Nowcasting. - Ying Shi, Wei Wei, Zhiming Zheng:
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning. - Samuel Sepúlveda, Andrea Rivera:
Systematic Mapping Protocol Feature Modeling Tools. - (Withdrawn) Laptop Theft in a University Setting can be Avoided with Warnings.
- Jesse Read, Luca Martino:
Probabilistic Regressor Chains with Monte Carlo Methods. - Brice D. Denoun, Beatriz León, Claudio Zito, Rustam Stolkin, Lorenzo Jamone, Miles E. Hansard:
Robust and fast generation of top and side grasps for unknown objects. - Austin Hounsel, Kevin Borgolte, Paul Schmitt, Jordan Holland, Nick Feamster:
Analyzing the Costs (and Benefits) of DNS, DoT, and DoH for the Modern Web. - Édouard Bonnet, Nidhi Purohit:
Metric Dimension Parameterized by Treewidth. - Felix Happach:
Makespan Minimization with OR-Precedence Constraints. - Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks:
Extremum Global Sensitivity Analysis with Least Squares Polynomials and their Ridges. - Hyowoon Seo, Jihong Park, Mehdi Bennis, Wan Choi:
Communication and Consensus Co-Design for Low-Latency and Reliable Industrial IoT Systems. - Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis:
Automating concept-drift detection by self-evaluating predictive model degradation. - Steven Chaplick, Henry Förster, Myroslav Kryven, Alexander Wolff:
On Arrangements of Orthogonal Circles. - Pol Olivella-Rosell, Francesc Rullan, Pau Lloret-Gallego, Eduardo Prieto-Araujo, Ricard Ferrer-San-José, Sara Barja-Martinez, Sigurd Bjarghov, Venkatachalam Lakshmanan, Ari Hentunen, Juha Forsström, Stig Ødegaard Ottesen, Roberto Villafafila-Robles, Andreas Sumper:
Centralised and Distributed Optimization for Aggregated Flexibility Services Provision. - Ahmed Al Amin, Bhaskara Narottama, Soo Young Shin:
Channel Capacity Enhancement of SWIPT based CNOMA Downlink Transmission with Orbital Angular Momentum over Rician Fading Channel. - Jake Sganga, David Eng, Chauncey Graetzel, David B. Camarillo:
Autonomous Driving in the Lung using Deep Learning for Localization. - Lisa Ehrlinger, Elisa Rusz, Wolfram Wöß:
A Survey of Data Quality Measurement and Monitoring Tools. - Giulio Cerbai, Anders Claesson, Luca Ferrari:
Stack sorting with restricted stacks. - Daniel Schneider, Alexander Otte, Travis Gesslein, Philipp Gagel, Bastian Kuth, Mohamad Shahm Damlakhi, Oliver Dietz, Eyal Ofek, Michel Pahud, Per Ola Kristensson, Jörg Müller, Jens Grubert:
ReconViguRation: Reconfiguring Physical Keyboards in Virtual Reality. - Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models. - Will Rosenbaum, Jukka Suomela:
Seeing Far vs. Seeing Wide: Volume Complexity of Local Graph Problems. - Riccardo Coppola, Luca Ardito, Marco Torchiano:
Fragility of Layout-Based and Visual GUI Test Scripts: An Assessment Study on a Hybrid Mobile Application. - Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries. - Yue Weng, Huaixiu Zheng, Franziska Bell, Gökhan Tür:
OCC: A Smart Reply System for Efficient In-App Communications. - Francesco Pierri, Alessandro Artoni, Stefano Ceri:
Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections. - Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal:
On the Evaluation of Conditional GANs. - Tiantian Gao, Paul Fodor, Michael Kifer:
Querying Knowledge via Multi-Hop English Questions. - Can Li, Catherine E. Graves, Darrin Miller, John Paul Strachan:
Analog content addressable memories with memristors. - Jingyuan Zhang, Timothy Baldwin:
Evaluating the Utility of Document Embedding Vector Difference for Relation Learning. - Mitali Bafna, Nikhil Vyas:
Imperfect Gaps in Gap-ETH and PCPs. - Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. - Armin Mustafa, Marco Volino, Hansung Kim, Jean-Yves Guillemaut, Adrian Hilton:
Temporally Coherent General Dynamic Scene Reconstruction. - Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy:
Composing Diverse Policies for Temporally Extended Tasks. - Mojtaba Moattari, Mohammad Hassan Moradi, Reza Boostani:
Empowering swarm-based optimizers by multi-scale search to enhance Gradient Descent initialization performance. - Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja, Sergey Levine:
Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery. - Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová:
Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model. - Indira Sen, Fabian Flöck, Katrin Weller, Bernd Weiss, Claudia Wagner:
A Total Error Framework for Digital Traces of Humans. - William J. Layton, Michael McLaughlin:
Doubly-Adaptive Artificial Compression Methods for Incompressible Flow. - Jonathan K. Kummerfeld:
SLATE: A Super-Lightweight Annotation Tool for Experts. - Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
Joint Learning of Named Entity Recognition and Entity Linking. - Matteo Fischetti, Domenico Salvagnin:
Finding First and Most-Beautiful Queens by Integer Programming. - Ata Khalili, Sheyda Zarandi, Mehdi Rasti, Ekram Hossain:
Multi-Objective Optimization for Energy-and Spectral-Efficiency Tradeoff in In-band Full-Duplex (IBFD) Communication. - Chaoqiang Deng, Patrick Cousot:
Responsibility Analysis by Abstract Interpretation. - George T. Cantwell, M. E. J. Newman:
Message passing on networks with loops. - Andrew F. Davis, Brian C. Fabien:
Wave Excitation Force Estimation of Wave Energy Floats Using Extended Kalman Filters. - Nathanaël Fijalkow, Engel Lefaucheux, Pierre Ohlmann, Joël Ouaknine, Amaury Pouly, James Worrell:
On the Monniaux Problem in Abstract Interpretation. - Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani, Alan W. Black:
WriterForcing: Generating more interesting story endings. - Ari Seff, Wenda Zhou, Farhan N. Damani, Abigail G. Doyle, Ryan P. Adams:
Discrete Object Generation with Reversible Inductive Construction. - Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou:
Weak Adversarial Networks for High-dimensional Partial Differential Equations. - Li Ling, Zhiqiang Gao, Michael A. Silas, Ian Lee, Erwan A. Le Doeuff:
An AI-based, Multi-stage detection system of banking botnets. - Bin Cheng, Jonathan Fürst, Gürkan Solmaz, Takuya Sanada:
Fog Function: Serverless Fog Computing for Data Intensive IoT Services. - Bennet Meyers, Michaelangelo D. Tabone, Emre Can Kara:
Statistical Clear Sky Fitting Algorithm. - Samrat Acharya, Yury Dvorkin, Ramesh Karri:
Public Plug-in Electric Vehicles + Grid Data: Is a New Cyberattack Vector Viable? - Canyi Lu, Pan Zhou:
Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms. - Ying Xu, Zhihua Qu, Roland Harvey, Toru Namerikawa:
Data-Driven Wide-Area Control Design of Power System Using the Passivity Shortage Framework. - Bruno Gavranovic:
Compositional Deep Learning. - Guenter Hesse, Christoph Matthies, Kelvin Glass, Johannes Huegle, Matthias Uflacker:
Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems. - Syamantak Das, Lavina Jain, Nikhil Kumar:
A Constant Factor Approximation for Capacitated Min-Max Tree Cover. - Clément Cancès, Thomas O. Gallouët, Gabriele Todeschi:
A variational finite volume scheme for Wasserstein gradient flows. - Brian Axelrod, Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart, Gregory Valiant:
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families. - Martin Wistuba:
XferNAS: Transfer Neural Architecture Search. - Lise-Marie Imbert-Gérard, Guillaume Sylvand:
A roadmap for Generalized Plane Waves and their interpolation properties. - Angelo Oddi, Riccardo Rasconi, Emilio Cartoni, Gabriele Sartor, Gianluca Baldassarre, Vieri Giuliano Santucci:
Learning High-Level Planning Symbols from Intrinsically Motivated Experience. - Bruna G. Maciel-Pearson, Samet Akcay, Amir Atapour Abarghouei, Christopher J. Holder, Toby P. Breckon:
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments. - Isaac Kamlish, Isaac Bentata Chocron, Nicholas McCarthy:
SentiMATE: Learning to play Chess through Natural Language Processing. - Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Michael C. Hughes, Tristan Naumann, Marzyeh Ghassemi:
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III. - Shusen Liu, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer:
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. - Sashank Santhanam, Vidhushini Srinivasan, Shaina Glass, Samira Shaikh:
I Stand With You: Using Emojis to Study Solidarity in Crisis Events. - Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar:
Toxicity Prediction by Multimodal Deep Learning. - Eddie Anderson, Harrison Nguyen:
When can we improve on sample average approximation for stochastic optimization? - Lawrence S. Moss:
Proceedings Seventeenth Conference on Theoretical Aspects of Rationality and Knowledge, TARK 2019, Toulouse, France, 17-19 July 2019. EPTCS 297, 2019 [contents] - Jake Roemer, Michael D. Bond:
Online Set-Based Dynamic Analysis for Sound Predictive Race Detection. - Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. - Bahador Saket, Lei Jiang, Charles Perin, Alex Endert:
Liger: Combining Interaction Paradigms for Visual Analysis. - Kojiro Iizuka, Takeshi Yoneda, Yoshifumi Seki:
Greedy Optimized Multileaving for Personalization. - Yiwen Han, Xiaofei Wang, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen:
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey. - Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Jinxia Lin, Yanan Liu:
Representation Learning for Classical Planning from Partially Observed Traces. - Alexander Golovnev, Siyao Guo, Thibaut Horel, Sunoo Park, Vinod Vaikuntanathan:
3SUM with Preprocessing: Algorithms, Lower Bounds and Cryptographic Applications. - (Withdrawn) New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning.
- Anna C. Gilbert, Albert Gu, Christopher Ré, Atri Rudra, Mary Wootters:
Sparse Recovery for Orthogonal Polynomial Transforms. - Zhuoying Li, Pan Zhou, Yanru Zhang, Lin Gao:
Joint Coverage and Power Control in Highly Dynamic and Massive UAV Networks: An Aggregative Game-theoretic Learning Approach. - Haris Javaid, Chengchen Hu, Gordon J. Brebner:
Optimizing Validation Phase of Hyperledger Fabric. - Chad E. Brown, Karol Pak:
A Tale of Two Set Theories. - Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang:
Open Set Domain Adaptation: Theoretical Bound and Algorithm. - Surat Teerapittayanon, H. T. Kung:
DaiMoN: A Decentralized Artificial Intelligence Model Network. - Denny Kusuma Hendraningrat, Bhaskara Narottama, Soo Young Shin:
Non-Orthogonal Multiple Access with Spatial Modulation in Downlink Coordinated Multipoint Transmission. - Sangil Lee, Clark Youngdong Son, H. Jin Kim:
Robust Real-time RGB-D Visual Odometry in Dynamic Environments via Rigid Motion Model. - Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann:
Automated Machine Learning in Practice: State of the Art and Recent Results. - Andrea Thomann, Markus Zenk, Gabriella Puppo, Christian Klingenberg:
An all speed second order IMEX relaxation scheme for the Euler equations. - Dekel Tsur:
Cluster deletion revisited. - Matteo Manica, Christoph Auer, Valéry Weber, Federico Zipoli, Michele Dolfi, Peter W. J. Staar, Teodoro Laino, Costas Bekas, Akihiro Fujita, Hiroki Toda, Shuichi Hirose, Yasumitsu Orii:
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries. - Thomas Olsson, Ulrik Franke:
Risks and Assets: A Qualitative Study of a Software Ecosystem in the Mining Industry. - Laurent M. M. van den Bos, Benjamin Sanderse, W. A. A. M. Bierbooms:
Adaptive sampling-based quadrature rules for efficient Bayesian prediction. - Clara Nieto-Taladriz, Yuri Murillo, Sofie Pollin:
Towards Efficient BLE Mesh: Design of an Autonomous Network Joining Algorithm. - Mario Alviano, Nicola Leone, Pierfrancesco Veltri, Jessica Zangari:
Enhancing magic sets with an application to ontological reasoning. - Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen:
VRSTC: Occlusion-Free Video Person Re-Identification. - Xiaorong Zhu, Huiping Shen, Chengqi Wu, Damien Chablat, Tingli Yang:
Automatic mobility analysis of parallel mechanisms: an algorithm approach based on position and orientation characteristic equations. - Boxiong Zeng, Tingli Yang, Huiping Shen, Damien Chablat:
Topology design and analysis of a novel 3-translational parallel mechanism with analytical direct position solutions and partial motion decoupling. - Erik D. Demaine, Martin L. Demaine, David Eppstein, Joseph O'Rourke:
Some Polycubes Have No Edge-Unzipping. - John Henawy, Zhengguo Li, Wei-Yun Yau, Gerald Seet, Kong-Wah Wan:
Accurate IMU Preintegration Using Switched Linear Systems For Autonomous Systems. - Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen:
Interaction-and-Aggregation Network for Person Re-identification. - Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
Neural Cross-Domain Collaborative Filtering with Shared Entities. - Mathis Hoffmann, Bernd Doll, Florian Talkenberg, Christoph J. Brabec, Andreas K. Maier, Vincent Christlein:
Fast and robust detection of solar modules in electroluminescence images. - Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing:
Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling. - Vanessa Kosoy:
Delegative Reinforcement Learning: learning to avoid traps with a little help. - Steven Dalton, Iuri Frosio, Michael Garland:
GPU-Accelerated Atari Emulation for Reinforcement Learning. - Thomas Wiegart, Fabian Steiner, Patrick Schulte, Peihong Yuan:
Shaped On-Off Keying Using Polar Codes. - Syrielle Montariol, Aina Garí Soler, Alexandre Allauzen:
Exploring sentence informativeness. - Erich Grädel, Val Tannen:
Provenance Analysis for Logic and Games. - Leo van Iersel, Remie Janssen, Mark Jones, Yukihiro Murakami, Norbert Zeh:
A Practical Fixed-Parameter Algorithm for Constructing Tree-Child Networks from Multiple Binary Trees. - Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh:
Representational Capacity of Deep Neural Networks - A Computing Study. - Robert T. Loftin, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts:
Interactive Learning of Environment Dynamics for Sequential Tasks. - Lakmal Meegahapola, Noel Athaide, Kasthuri Jayarajah, Shili Xiang, Archan Misra:
Inferring Accurate Bus Trajectories from Noisy Estimated Arrival Time Records. - Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
A Graph Neural Network Approach for Scalable Wireless Power Control. - Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin:
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. - Chunhui Wang, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Automatic Generation of System Test Cases from Use Case Specifications: an NLP-based Approach. - Jip Spel, Sebastian Junges, Joost-Pieter Katoen:
Are Parametric Markov Chains Monotonic? - Martin Kronbichler, Katharina Kormann, Niklas Fehn, Peter Munch, Julius Witte:
A Hermite-like basis for faster matrix-free evaluation of interior penalty discontinuous Galerkin operators. - Evangelos N. Papasotiriou, Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou:
Performance evaluation of THz wireless systems under the joint impact of misalignment fading and phase noise. - Miriah Meyer, Jason Dykes:
Criteria for Rigor in Visualization Design Study. - Durgesh Singh, Sasthi C. Ghosh:
Network-Assisted D2D Relay Selection Under the Presence of Dynamic Obstacles. - Gerhard Wohlgenannt, Dmitry Mouromtsev, Dmitry S. Pavlov, Yury Emelyanov, Alexey V. Morozov:
A Comparative Evaluation of Visual and Natural Language Question Answering Over Linked Data. - Konstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen:
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling. - Bartolomeo Pantò, Davide Rapicavoli, Salvatore Caddemi, Ivo Caliò:
A fibre Smart Displacement Based (FSDB) beam element for the nonlinear analysis of R/C members. - Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images. - Cameron P. Kyle-Davidson, Adrian G. Bors, Karla K. Evans:
Predicting Visual Memory Schemas with Variational Autoencoders. - António Ramires, Xavier Serra:
Data Augmentation for Instrument Classification Robust to Audio Effects. - Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi:
ASYNC: Asynchronous Machine Learning on Distributed Systems. - Andrea Alessandretti, A. Pedro Aguiar:
An optimization-based cooperative path-following framework for multiple robotic vehicles. - Zhiguo Wang, Yue Zhang, Mo Yu, Wei Zhang, Lin Pan, Linfeng Song, Kun Xu, Yousef El-Kurdi:
Multi-Granular Text Encoding for Self-Explaining Categorization. - Rasmus T. Jones, Metodi P. Yankov, Darko Zibar:
End-to-end Learning for GMI Optimized Geometric Constellation Shape. - Fredrik Fryklund, Mary Catherine A. Kropinski, Anna-Karin Tornberg:
An integral equation based numerical method for the forced heat equation on complex domains. - Ítalo Brasileiro, Lucas Rodrigues Costa, André C. Drummond:
A survey on Crosstalk and Routing, Modulation Selection, Core and Spectrum Allocation in Elastic Optical Networks. - Steven R. Wilson, Rada Mihalcea:
Predicting Human Activities from User-Generated Content. - Anne Collin, Antonio Terán Espinoza:
Resilient Sensor Architecture Design and Tradespace Analysis for Autonomous Vehicle Localization and Mapping. - Enzo Tartaglione, Daniele Perlo, Marco Grangetto:
Post-synaptic potential regularization has potential. - Andreas Walch, Michael Schwärzler, Christian Luksch, Elmar Eisemann, Theresia Gschwandtner:
LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization. - Divya Saxena, Jiannong Cao:
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction. - Sanja Singer, Edoardo Di Napoli, Vedran Novakovic, Gayatri Caklovic:
The LAPW method with eigendecomposition based on the Hari-Zimmermann generalized hyperbolic SVD. - Giovanni Grano, Christoph Laaber, Annibale Panichella, Sebastiano Panichella:
Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation. - Hicham El-Zein, Meng He, J. Ian Munro, Yakov Nekrich, Bryce Sandlund:
On Approximate Range Mode and Range Selection. - Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam:
CraftAssist: A Framework for Dialogue-enabled Interactive Agents. - Ariel Noyman, Yasushi Sakai, Kent Larson:
CityScopeAR: Urban Design and Crowdsourced Engagement Platform. - Nidhish Raj, Ravi N. Banavar, Abhishek, Mangal Kothari:
Attitude Control of a Novel Tailsitter: Swiveling Biplane-Quadrotor. - Sravya Polisetty, Andriy V. Miranskyy, Ayse Bener:
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. - Justin Shenk, Mats L. Richter, Anders Arpteg, Mikael Huss:
Spectral Analysis of Latent Representations. - Amir Javadpour, Hamidreza Memarzadeh-Tehran:
A Wearable Medical Sensor for Provisional Healthcare. - Luca Manneschi, Andrew C. Lin, Eleni Vasilaki:
Learning sparsity in reservoir computing through a novel bio-inspired algorithm. - Jessica Shi, Julian Shun:
Parallel Algorithms for Butterfly Computations. - Michael R. Zhang, James Lucas, Geoffrey E. Hinton, Jimmy Ba:
Lookahead Optimizer: k steps forward, 1 step back. - Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater:
Logical Segmentation of Source Code. - Mohamad Abdul Hady, Basaran Bahadir Kocer, Harikumar Kandath, Mahardhika Pratama:
Real-time UAV Complex Missions Leveraging Self-Adaptive Controller with Elastic Structure. - Oscar Castañeda, Maria Bobbett, Alexandra Gallyas-Sanhueza, Christoph Studer:
PPAC: A Versatile In-Memory Accelerator for Matrix-Vector-Product-Like Operations. - Victor Peterson II:
Cultural Endowment as Collective Improvisation: subjectivity and digital infinity. - Olegs Nalivajevs, Daniel Karapetyan:
Conditional Markov Chain Search for the Generalised Travelling Salesman Problem for Warehouse Order Picking. - Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo:
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. - Dobromir Marinov, Daniel Karapetyan:
Hyperparameter Optimisation with Early Termination of Poor Performers. - Dany Haddad, Joydeep Ghosh:
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval. - Zhiliang Deng, Xiaomei Yang, Jiangfeng Huang:
A parametric Bayesian level set approach for acoustic source identification using multiple frequency information. - Yichi Zhang, Yiting Zhang, Zhiyao Duan:
Sound Search by Text Description or Vocal Imitation? - Thomas Gschwind, Christoph Miksovic, Katsiaryna Mirylenka, Paolo Scotton:
Fast Record Linkage for Company Entities. - Michael Färber:
Linked Crunchbase: A Linked Data API and RDF Data Set About Innovative Companies. - Damien Sileo, Tim Van de Cruys, Camille Pradel, Philippe Muller:
Discourse-Based Evaluation of Language Understanding. - Robert J. Griffin, Georg Wiedebach, Stephen McCrory, Sylvain Bertrand, Inho Lee, Jerry E. Pratt:
Footstep Planning for Autonomous Walking Over Rough Terrain. - Kiran Rama, Pradeep Kumar, Bharat Bhasker:
Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey. - Rémi Abgrall, Élise Le Mélédo, Philipp Öffner:
A class of finite dimensional spaces and H(div) conformal elements on general polytopes. - Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Recommender Systems with Heterogeneous Side Information. - Zhipeng Li, Jianwei Wu, Lin Sun, Tao Rong:
Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning. - Daniel Akimchuk, Timothy Clerico, Douglas Turnbull:
Evaluating Recommender System Algorithms for Generating Local Music Playlists. - Hamed Badakhsh, Mohammad Pirhooshyaran, Abdolhamid Eshragh-Jahromi:
Replacement Policy of Systems with Dependent Components via Integration of Dynamic Programming and Simulated Annealing. - Yao-Hsiang Yang, Adam Duracz, Ferenc A. Bartha, Ryuichi Sai, Ahsan Pervaiz, Saeid Barati, Dung Nguyen, Robert Cartwright, Henry Hoffmann, Krishna V. Palem:
Language Support for Adaptation: Intent-Driven Programming in FAST. - Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Erik P. Bucy:
Multi-modal Sentiment Analysis using Deep Canonical Correlation Analysis. - Cristian Rusu, Lorenzo Rosasco:
Fast approximation of orthogonal matrices and application to PCA. - Elena V. Epure, Anis Khlif, Romain Hennequin:
Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation. - Heinrich Söbke, Andrea Lück:
Elementary Interactions An Approach in Decision Tool Development. - Daniel Cervantes-Vázquez, Mathilde Chenu, Jesús-Javier Chi-Domínguez, Luca De Feo, Francisco Rodríguez-Henríquez, Benjamin Smith:
Stronger and Faster Side-Channel Protections for CSIDH. - Liting Sun, Wei Zhan, Yeping Hu, Masayoshi Tomizuka:
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory. - Pinjia He, Clara Meister, Zhendong Su:
Structure-Invariant Testing for Machine Translation. - Vinicius F. Arruda, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night. - Shashi Narayan, Shay B. Cohen, Mirella Lapata:
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks. - Shivam Saxena, Hany Essa Zidan Farag, Hjalmar K. Turesson, Henry M. Kim:
Blockchain Based Grid Operation Services for Transactive Energy Systems. - Yibin Wang, Maksym Petrenko, Václav Rajlich:
Evaluating Heuristics for Iterative Impact Analysis. - Alexander Ponomarenko, Leonidas S. Pitsoulis, Marat Shamshetdinov:
Overlapping community detection in networks based on link partitioning and partitioning around medoids. - Will Ma, David Simchi-Levi, Jinglong Zhao:
A Competitive Analysis of Online Knapsack Problems with Unit Density. - Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal:
ER-AE: Differentially-private Text Generation for Authorship Anonymization. - Martin Almquist, Eric M. Dunham:
Non-stiff narrow-stencil finite difference approximations of the Laplacian on curvilinear multiblock grids. - Taoan Huang, Bohui Fang, Xiaohui Bei, Fei Fang:
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests. - Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi:
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. - (Withdrawn) Privacy-Preserving Blockchain Mining: Sybil-resistance by Proof-of-Useful-Work.
- Jing Yang, Yi Zhong, Xiaohu Ge, Han-Chieh Chao:
Power-Consumption Outage Challenge in Next-Generation Cellular Networks. - Zherong Pan, Xifeng Gao, Dinesh Manocha:
Generating Optimal Grasps Under A Stress-Minimizing Metric. - Rohan Chandra, Uttaran Bhattacharya, Christian Roncal, Aniket Bera, Dinesh Manocha:
RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs. - Xiongwei Wu, Qiang Li, Victor C. M. Leung, Pak-Chung Ching:
Joint Fronthaul Multicast and Cooperative Beamforming for Cache-Enabled Cloud-Based Small Cell Networks: An MDS Codes-Aided Approach. - Andrew Price, Linyi Jin, Dmitry Berenson:
Inferring Occluded Geometry Improves Performance when Retrieving an Object from Dense Clutter. - Srujan Teja Thomdapu, Ketan Rajawat:
Optimal Design of Queuing Systems via Compositional Stochastic Programming. - Pedro Almagro-Blanco, Fernando Sancho-Caparrini:
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling. - Leo Yu-Ho Lo, Yao Ming, Huamin Qu:
Learning Vis Tools: Teaching Data Visualization Tutorials. - Chuchu Chen, David Cohen, Raffaele D'Ambrosio, Annika Lang:
Drift-preserving numerical integrators for stochastic Hamiltonian systems. - Fatemeh Panjeh Ali Beik, Khalide Jbilou, Mehdi Najafi-Kalyani, Lothar Reichel:
On the Golub-Kahan bidiagonalization for ill-posed tensor equations with applications to color image restoration. - Jikai Lu, Jianhui Chen, James J. Little:
Pan-tilt-zoom SLAM for Sports Videos. - Xiao-ke Zhu, Tai-ning Chen, Jing He, Wei Zhou:
NNS: The Case For Neural Network-based Sorting. - Shahrzad Kiani, Nuwan S. Ferdinand, Stark C. Draper:
Hierarchical Coded Matrix Multiplication. - Shahrzad Kiani, Nuwan S. Ferdinand, Stark C. Draper:
Cuboid Partitioning for Hierarchical Coded Matrix Multiplication. - Pablo Barenbaum, Gonzalo Ciruelos:
Factoring Derivation Spaces via Intersection Types (Extended Version). - Bo Jiang, Xixi Wang, Bin Luo:
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network. - Baicen Xiao, Bhaskar Ramasubramanian, Andrew Clark, Hannaneh Hajishirzi, Linda Bushnell, Radha Poovendran:
Potential-Based Advice for Stochastic Policy Learning. - Robert S. DiPietro, Gregory D. Hager:
Automated Surgical Activity Recognition with One Labeled Sequence. - Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang:
Towards Verified Stochastic Variational Inference for Probabilistic Programs. - Luyang Hou, Chun Wang, Jun Yan:
Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling. - Markus Roland Ernst, Jochen Triesch, Thomas Burwick:
Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders. - Sándor Bartha, James Cheney:
Towards meta-interpretive learning of programming language semantics. - Ulya Trofimovich:
Tagged Deterministic Finite Automata with Lookahead. - Alex L. Wang, Fatma Kilinç-Karzan:
The Generalized Trust Region Subproblem: solution complexity and convex hull results. - Grace Leslie, Asma Ghandeharioun, Diane Y. Zhou, Rosalind W. Picard:
Engineering Music to Slow Breathing and Invite Relaxed Physiology. - Junyan Wang, Bingzhang Hu, Yang Long, Yu Guan:
Order Matters: Shuffling Sequence Generation for Video Prediction. - Michel Barbeau, Georg Carle, Joaquín García-Alfaro, Vicenç Torra:
Next Generation Resilient Cyber-Physical Systems. - Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou:
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. - Erdi Akyüz, Niranjan Saikumar, S. Hassan HosseinNia:
Reset Control for Vibration Disturbance Rejection. - M. Tanjidur Rahman, M. Sazadur Rahman, Huanyu Wang, Shahin Tajik, Waleed Khalil, Farimah Farahmandi, Domenic Forte, Navid Asadizanjani, Mark M. Tehranipoor:
Defense-in-Depth: A Recipe for Logic Locking to Prevail. - Marc Hellmuth, Manuela Geiß, Peter F. Stadler:
Complexity of Modification Problems for Reciprocal Best Match Graphs. - Alireza Alizadeh, Mai Vu:
Early Acceptance Matching Game for User Association in 5G Cellular HetNet. - Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak:
Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders. - Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas:
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. - Gino I. Montecinos, Dinshaw S. Balsara:
A simplified Cauchy-Kowalewskaya procedure for the implicit solution of generalized Riemann problems of hyperbolic balance laws. - Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali, Nicolas Kourtellis:
Detecting Cyberbullying and Cyberaggression in Social Media. - Weizi Li, David Wolinski, Ming C. Lin:
ADAPS: Autonomous Driving Via Principled Simulations. - Minkesh Asati, Worranitta Kraisittipong, Taizo Miyachi:
Human Extraction and Scene Transition utilizing Mask R-CNN. - Phu Mon Htut, Joel R. Tetreault:
The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction. - Jan Strappa, Facundo Bromberg:
Log-linear models independence structure comparison. - Rui Hou, Chen Chen, Rahul Sukthankar, Mubarak Shah:
An Efficient 3D CNN for Action/Object Segmentation in Video. - Kuljeet Kaur, Sahil Garg, Georges Kaddoum, Mohsen Guizani, Dushantha Nalin K. Jayakody:
A Lightweight and Privacy-Preserving Authentication Protocol for Mobile Edge Computing. - Sahil Garg, Kuljeet Kaur, Georges Kaddoum, François Gagnon, Syed Hassan Ahmed, Dushantha Nalin K. Jayakody:
LiSA: A Lightweight and Secure Authentication Mechanism for Smart Metering Infrastructure. - Sayan Bandyapadhyay, Tanmay Inamdar, Shreyas Pai, Kasturi R. Varadarajan:
A Constant Approximation for Colorful k-Center. - Yi-Wei Chen, Qingquan Song, Xia Hu:
Techniques for Automated Machine Learning. - Sarah H. Q. Li, Yue Yu, Daniel J. Calderone, Lillian J. Ratliff, Behçet Açikmese:
Online Constraint Satisfaction via Tolls in MDP Congestion Games. - Taiki Todo, Nodoka Okada, Makoto Yokoo:
False-Name-Proof Facility Location on Discrete Structures. - Minming Li, Pinyan Lu, Yuhao Yao, Jialin Zhang:
Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio. - Jingjing Bu, Afshin Mesbahi, Maryam Fazel, Mehran Mesbahi:
LQR through the Lens of First Order Methods: Discrete-time Case. - Melvin Wevers:
Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990. - Yutao Jiao, Ping Wang, Dusit Niyato, Jun Zhao, Bin Lin, Dong In Kim:
Task Allocation and Mobile Base Station Deployment in Wireless Powered Spatial Crowdsourcing. - Kensuke Nakamura, Byung-Woo Hong:
Adaptive Weight Decay for Deep Neural Networks. - Ladan Khaloopour, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
Adaptive Release Duration Modulation for Limited Molecule Production and Storage. - Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun:
Quantifying Similarity between Relations with Fact Distribution. - Hanxu Hou, Patrick P. C. Lee, Yunghsiang S. Han:
Multi-Layer Transformed MDS Codes with Optimal Repair Access and Low Sub-Packetization. - Shantipriya Parida, Ondrej Bojar, Satya Ranjan Dash:
Hindi Visual Genome: A Dataset for Multimodal English-to-Hindi Machine Translation. - Yang Li, Jing Li, Liang Chen, Junjian Qi, Guoqing Li:
Dynamic State Estimation of Synchronous Machines Using Robust Cubature Kalman Filter Against Complex Measurement Noise Statistics. - Tzu-Wei Tseng, Kai-Jiun Yang, C.-C. Jay Kuo, Shang-Ho Tsai:
An Interpretable Compression and Classification System: Theory and Applications. - Miao Zhang, Huiqi Li, Steven W. Su:
High Dimensional Bayesian Optimization via Supervised Dimension Reduction. - Anand M. Baswade, Mohith Reddy, A. Antony Franklin, Bheemarjuna Reddy Tamma:
Modeling and Performance Analysis of Spatially Distributed LTE-U and Wi-Fi Networks. - Stephen G. Odaibo:
Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function. - Elena V. Djukova, Gleb O. Masliakov, Petr A. Prokofyev:
Logical Classification of Partially Ordered Data. - Fatima Hussain, Syed Ali Hassan, Rasheed Hussain, Ekram Hossain:
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges. - Vikas Dwivedi, Nishant Parashar, Balaji Srinivasan:
Distributed physics informed neural network for data-efficient solution to partial differential equations. - Antonia Saravanou, Clemens Noelke, Nicholas Huntington, Dolores Acevedo-Garcia, Dimitrios Gunopulos:
Infant Mortality Prediction using Birth Certificate Data. - Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim:
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. - Alonso Rodríguez-Navarro, Ricardo Brito:
Might Europe one day again be a global scientific powerhouse? Analysis of ERC publications suggests it will not be possible without changes in research policy. - Saugat Bhattacharyya, Mitsuhiro Hayashibe:
Systematic Enhancement of Functional Connectivity in Brain-Computer Interfacing using Common Spatial Patterns and Tangent Space Mapping. - Zhanzhan Zhao, Haoran Sun:
Alice's Adventures in the Markovian World. - Weiwen Jiang, Edwin Hsing-Mean Sha, Xinyi Zhang, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu:
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference. - Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen:
Spectral-based Graph Convolutional Network for Directed Graphs. - Mazharul Islam, Shuangrong Liu, Lin Wang, Xiaojing Zhang:
Improving Neural Network Classifier using Gradient-based Floating Centroid Method. - Evgeny M. Khorov, Anton Kiryanov, Alexander Krotov:
Joint Power Control and Time Division to Improve Spectral Efficiency in Dense Wi-Fi Networks. - Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor:
Image Classification with Hierarchical Multigraph Networks. - Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Fundamental aspects of noise in analog-hardware neural networks. - Bruno Gois Mateus, Matias Martinez:
On the adoption, usage and evolution of Kotlin Features on Android development. - Issa Annamoradnejad, Jafar Habibi:
A Comprehensive Analysis of Twitter Trending Topics. - Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao:
signADAM: Learning Confidences for Deep Neural Networks. - Ajinkya Jain, Scott Niekum:
Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty. - Eric D. Sun, Ron Dekel:
ImageNet-trained deep neural network exhibits illusion-like response to the Scintillating Grid. - Mina Bishay, Georgios Zoumpourlis, Ioannis Patras:
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition. - Bestoun S. Ahmed, Angelo Gargantini, Kamal Z. Zamli, Cemal Yilmaz, Miroslav Bures, Marek Szeles:
Code-Aware Combinatorial Interaction Testing. - Baiying Dong, Xiufang Feng, Zhilin Li:
On jump relations of anisotropic elliptic interface problems. - Steinþór Steingrímsson, Örvar Kárason, Hrafn Loftsson:
Augmenting a BiLSTM tagger with a Morphological Lexicon and a Lexical Category Identification Step. - Jacob Turner:
Combining the Connection Scan Algorithm with Contraction Hierarchies. - Rahul Vaze, Jayakrishnan Nair:
Multiple Server SRPT with speed scaling is competitive. - Richard Jiang, Danny Crookes:
Shallow Unorganized Neural Networks using Smart Neuron Model for Visual Perception. - Yeojun Kim, Samuel Tay, Jacopo Guanetti, Francesco Borrelli, Ryan Miller:
Hardware-In-the-Loop for Connected Automated Vehicles Testing in Real Traffic. - Samuel C. Gutekunst, David P. Williamson:
Semidefinite Programming Relaxations of the Traveling Salesman Problem and Their Integrality Gaps. - Lei Lei, Yue Tan, Shiwen Liu, Kan Zheng, Xuemin Shen:
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges. - Vinay Uday Prabhu, Dian Ang Yap, Joyce Xu, John Whaley:
Understanding Adversarial Robustness Through Loss Landscape Geometries. - Gustavo de Veciana, Abolfazl Hashemi, Haris Vikalo:
Stochastic-Greedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization. - Muhammed O. Sayin, Tamer Basar:
Optimal Hierarchical Signaling for Quadratic Cost Measures and General Distributions: A Copositive Program Characterization. - Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang:
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. - Seungbum Baek:
Reconfigurable multiplier architecture based on memristor-cmos with higher flexibility. - Amir Hossein Raffiee, Humayun Irshad:
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images. - Jinho Choi:
Relay-aided Random Access for Energy-Limited Devices in the IoT. - Weiwei Cui, Xiaoyu Zhang, Yun Wang, He Huang, Bei Chen, Lei Fang, Haidong Zhang, Jian-Guang Lou, Dongmei Zhang:
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements. - Jiang Zhu, Mihai-Alin Badiu:
Expectation Propagation Line Spectral Estimation. - Krzysztof R. Apt, Dominik Wojtczak:
Open Problems in a Logic of Gossips. 1-18 - Adam Bjorndahl, Aybüke Özgün:
Uncertainty About Evidence. 68-81 - Giacomo Bonanno:
Credible Information, Allowable Information and Belief Revision - Extended Abstract. 82-90 - Ramit Das, R. Ramanujam, Sunil Simon:
Reasoning about Social Choice and Games in Monadic Fixed-Point Logic. 106-120 - Yifeng Ding, Wesley H. Holliday, Cedegao Zhang:
When Do Introspection Axioms Matter for Multi-Agent Epistemic Reasoning? 121-139 - Adam Dominiak, Burkhard C. Schipper:
Common Belief in Choquet Rationality and Ambiguity Attitudes - Extended Abstract. 140-154 - Nourhan Ehab, Haythem O. Ismail:
A Unified Algebraic Framework for Non-Monotonicity. 155-174 - Satoshi Fukuda:
On the Consistency among Prior, Posteriors, and Information Sets (Extended Abstract). 189-205 - Malvin Gattinger, Yanjing Wang:
How to Agree without Understanding Each Other: Public Announcement Logic with Boolean Definitions. 206-220 - Joseph Y. Halpern, Rafael Pass:
A Conceptually Well-Founded Characterization of Iterated Admissibility Using an "All I Know" Operator. 221-232 - Edith Hemaspaandra, Lane A. Hemaspaandra, Jörg Rothe:
The Complexity of Online Bribery in Sequential Elections (Extended Abstract). 233-251 - Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su:
Efficient Novelty-Driven Neural Architecture Search. - Wesley H. Holliday, Eric Pacuit:
Strategic Voting Under Uncertainty About the Voting Method. 252-272 - Magdalena Ivanovska, Marija Slavkovik:
Aggregating Probabilistic Judgments. 273-292 - Roman Kuznets, Laurent Prosperi, Ulrich Schmid, Krisztina Fruzsa:
Causality and Epistemic Reasoning in Byzantine Multi-Agent Systems. 293-312 - Grzegorz Lisowski, Sylvie Doutre, Umberto Grandi:
Aggregation in Value-Based Argumentation Frameworks. 313-331 - Emiliano Lorini:
Exploiting Belief Bases for Building Rich Epistemic Structures. 332-353 - Sven Neth:
Measuring Belief and Risk Attitude. 354-364 - Zheng Wang, Cong Ling, Shi Jin:
Deterministic Sampling Decoding: Where Sphere Decoding Meets Lattice Gaussian Distribution. - Pablo F. Castro, Valentin Cassano, Raul Fervari, Carlos Areces:
An Algebraic Approach for Action Based Default Reasoning. 91-105 - Zhiri Tang, Yanhua Chen, Hao Wang, Jin He, Qijun Huang, Sheng Chang:
Non-Spike Timing-Dependent Plasticity based Unsupervised Memristive Neural Networks with High Hardware Compatibility. - Ryo Hachiuma, Christian Pirchheim, Dieter Schmalstieg, Hideo Saito:
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM. - Mang Shao, Danhang Tang, Tae-Kyun Kim:
Real-time Background-aware 3D Textureless Object Pose Estimation. - Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent. - Wenbo Sui, Carrie M. Hall:
Combustion Phasing Modelling and Control for Compression Ignition Engines with High Dilution and Boost Levels. - Maria-Florina Balcan, Travis Dick, Dravyansh Sharma:
Online optimization of piecewise Lipschitz functions in changing environments. - Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo:
Feature Graph Learning for 3D Point Cloud Denoising. - Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes. - Sainul Islam Ansary, Sankha Deb, Alok Kanti Deb:
A novel object slicing based grasp planner for 3D object grasping using underactuated robot gripper. - Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Alice Chu, Preeti Raghavan, Viswanath Aluru, Cláudio T. Silva:
Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries. - Andreas Metzger, Clément Quinton, Zoltán Ádám Mann, Luciano Baresi, Klaus Pohl:
Feature-Model-Guided Online Learning for Self-Adaptive Systems. - Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu:
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. - Dmitri Kovalenko, Mikhail Korobkin, Andrey Minin:
Sensor Aware Lidar Odometry. - Syrielle Montariol, Alexandre Allauzen:
Learning dynamic word embeddings with drift regularisation. - Yiqiang Chen, Jindong Wang, Chaohui Yu, Wen Gao, Xin Qin:
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. - David Ifeoluwa Adelani, Haotian Mai, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection. - Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham:
Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better? - Lucia Romani, Alberto Viscardi:
Dual Univariate Interpolatory Subdivision of Every Arity: Algebraic Characterization and Construction. - Stefano V. Albrecht, Subramanian Ramamoorthy:
Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems. - Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli:
ELI5: Long Form Question Answering. - Andrea Censi, Saverio Bolognani, Julian G. Zilly, Shima Sadat Mousavi, Emilio Frazzoli:
Today Me, Tomorrow Thee: Efficient Resource Allocation in Competitive Settings using Karma Games. - Fengkie Junis, Faisal Malik Widya Prasetya, Farouq Ibrahim Lubay, Anny Kartika Sari:
A Revisit on Blockchain-based Smart Contract Technology. - Matthew C. H. Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker:
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. - Alberto Gasparin, Slobodan Lukovic, Cesare Alippi:
Deep Learning for Time Series Forecasting: The Electric Load Case. - Pieter H. Hartel, Mark van Staalduinen:
Truffle tests for free - Replaying Ethereum smart contracts for transparency. - Leo Cazenille, Nicolas Bredèche, José Halloy:
Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm. - Quang-Trung Luu, Sylvaine Kerboeuf, Alexandre Mouradian, Michel Kieffer:
A Coverage-aware Resource Provisioning Method for Network Slicing. - Francesco Calimeri, Giovambattista Ianni, Francesco Pacenza, Simona Perri, Jessica Zangari:
Incremental Answer Set Programming with Overgrounding. - Samuele Rubino:
Numerical analysis of a projection-based stabilized POD-ROM for incompressible flows. - Hui Yuan, Mengyu Li, Junhui Hou, Jimin Xiao:
A Single Image based Head Pose Estimation Method with Spherical Parameterization. - Rik Bähnemann, Nicholas R. J. Lawrance, Jen Jen Chung, Michael Pantic, Roland Siegwart, Juan I. Nieto:
Revisiting Boustrophedon Coverage Path Planning as a Generalized Traveling Salesman Problem. - Bryan Liu, Shuangyang Li, Yixuan Xie, Jinhong Yuan:
Deep Learning Assisted Sum-Product Detection Algorithm for Faster-than-Nyquist Signaling. - Hannes Fassold:
Adapting Computer Vision Algorithms for Omnidirectional Video. - Anant A. Joshi, D. H. Sanjeeva Maithripala, Ravi N. Banavar:
A bundle framework for observer design on smooth manifolds with symmetry. - Isaac Ronald Ward, Hamid Laga, Mohammed Bennamoun:
RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques. - Samuel Lipping, Konstantinos Drossos, Tuomas Virtanen:
Crowdsourcing a Dataset of Audio Captions. - Maximilian Stubbemann, Tom Hanika, Gerd Stumme:
Orometric Methods in Bounded Metric Data. - Maciej Drwal:
Robust Approach to Restricted Items Selection Problem. - Kaan Karaman, Erhan Gundogdu, Aykut Koç, A. Aydin Alatan:
Quadruplet Selection Methods for Deep Embedding Learning. - Jorge Fandinno:
Founded (Auto)Epistemic Equilibrium Logic Satisfies Epistemic Splitting. - Lukás Adam, Xin Yao:
A Simple Yet Effective Approach to Robust Optimization Over Time. - Niranjan Saikumar, Duarte Valério, S. Hassan HosseinNia:
Complex order control for improved loop-shaping in precision positioning. - Sankardeep Chakraborty, Roberto Grossi, Kunihiko Sadakane, Srinivasa Rao Satti:
Succinct Representation for (Non)Deterministic Finite Automata. - Max Isacson, Mattias Ellert, Richard Brenner:
Extending the ARC Information Providers to report information on GPU resources. - Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, C. Lawrence Zitnick, Jason Weston:
Why Build an Assistant in Minecraft? - Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling:
A Sufficient Statistic for Influence in Structured Multiagent Environments. - Haris Aziz, Simon Rey:
Almost Group Envy-free Allocation of Indivisible Goods and Chores. - Sankardeep Chakraborty, Kunihiko Sadakane, Srinivasa Rao Satti:
Optimal In-place Algorithms for Basic Graph Problems. - Zhongxing Yu, Matias Martinez, Tegawendé F. Bissyandé, Martin Monperrus:
Learning the Relation between Code Features and Code Transforms with Structured Prediction. - Clement Leroy, Éric Anquetil, Nathalie Girard:
ParaFIS: A new online fuzzy inference system based on parallel drift anticipation. - Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra:
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles. - Christopher Ehmke, Florian Blum, Volker Gruhn:
Properties of Decentralized Consensus Technology - Why not every Blockchain is a Blockchain. - Jajati Kesahri Sahoo, Ratikanta Behera:
Reverse-order law for core inverse of tensors. - David M. W. Powers:
DREAMT - Embodied Motivational Conversational Storytelling. - Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki:
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. - Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben:
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. - Shahaboddin Shamshirband, Amir Mosavi, Kwok-Wing Chau:
Sensitivity study of ANFIS model parameters to predict the pressure gradient with combined input and outputs hydrodynamics parameters in the bubble column reactor. - Genqiang Wu:
On the Information Privacy Model: the Group and Composition Privacy. - Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si:
Syntax-aware Neural Semantic Role Labeling. - Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. - Hongyu Wang, Wei Liang, Guangcun Shan:
An Efficient Method of Detection and Recognition in Remote Sensing Image Based on multi-angle Region of Interests. - Anubrata Das, Matthew Lease:
A Conceptual Framework for Evaluating Fairness in Search. - Jean-Pierre Lorré, Isabelle Ferrané, Francisco Madrigal, Michalis Vazirgiannis, Christophe Bourguignat:
LinTO : Assistant vocal open-source respectueux des données personnelles pour les réunions d'entreprise. - William Wills, Joao Meirelles, Vivien Green Baptista, Gabriel Cury, Pablo Cerdeira:
A Simple Sinuosity-Based Method using GPS data to Support Mitigation Policies for Public Buses GHG Emissions. - Pranava Madhyastha, Josiah Wang, Lucia Specia:
VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions. - (Withdrawn) Efficient Policy Learning for Non-Stationary MDPs under Adversarial Manipulation.
- Anastasia Koloskova, Tao Lin, Sebastian U. Stich, Martin Jaggi:
Decentralized Deep Learning with Arbitrary Communication Compression. - Aditya Mogadala, Marimuthu Kalimuthu, Dietrich Klakow:
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods. - Luis A. Medina, Matthew Geoffrey Parker, Constanza Riera, Pantelimon Stanica:
Root-Hadamard transforms and complementary sequences. - Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, Asja Fischer:
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs. - Emmanuel Filiot, Shibashis Guha, Nicolas Mazzocchi:
Two-way Parikh Automata. - Armin Seyeditabari, Narges Tabari, Shafie Gholizadeh, Wlodek Zadrozny:
Emotion Detection in Text: Focusing on Latent Representation. - Michal R. Przybylek, Pawel Siedlecki:
A note on the complexity of a phaseless polynomial interpolation. - Yifan Wang, Zichun Zhong, Jing Hua:
DeepOrganNet: On-the-Fly Reconstruction and Visualization of 3D / 4D Lung Models from Single-View Projections by Deep Deformation Network. - Shervin Minaee, AmirAli Abdolrashidi:
DeepIris: Iris Recognition Using A Deep Learning Approach. - Xiaosheng Yan, Yuanlong Yu, Feigege Wang, Wenxi Liu, Shengfeng He, Jia Pan:
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery. - Huseyin Coskun, M. Zeeshan Zia, Bugra Tekin, Federica Bogo, Nassir Navab, Federico Tombari, Harpreet S. Sawhney:
Domain-Specific Priors and Meta Learning for Low-shot First-Person Action Recognition. - Guenter Hesse, Werner Sinzig, Christoph Matthies, Matthias Uflacker:
Application of Data Stream Processing Technologies in Industry 4.0 - What is Missing? - Hallee E. Wong, Osman Akar, Emmanuel Antonio Cuevas, Iuliana Tabian, Divyaa Ravichandran, Iris Fu, Cambron Carter:
Markerless Augmented Advertising for Sports Videos. - Nazim Choudhury, Fahim Faisal, Matloob Khushi:
Towards an LSTM-based Predictive Framework for Literature-based Knowledge Discovery. - Giovanni Amendola, Carmine Dodaro, Marco Maratea:
Abstract Solvers for Computing Cautious Consequences of ASP programs. - Kelly Lais Wiggers, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich, Laurent Heutte, Luiz Eduardo Soares de Oliveira:
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents. - Bülent Karasözen, Süleyman Yildiz, Murat Uzunca:
Structure Preserving Model Order Reduction of Shallow Water Equations. - Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu:
A Survey of Deep Learning-based Object Detection. - Xiu Ye, Shangyou Zhang:
A stabilizer free weak Galerkin method for the Biharmonic Equation on Polytopal Meshes. - Jonathan D. Cohen:
Trusses and Trapezes: Easily-Interpreted Communities in Social Networks. - Eleonora Bernasconi, Francesco Pugliese, Diego Zardetto, Monica Scannapieco:
Satellite-Net: Automatic Extraction of Land Cover Indicators from Satellite Imagery by Deep Learning. - Giovanni Amendola, Francesco Ricca:
Paracoherent Answer Set Semantics meets Argumentation Frameworks. - Salman Sherin, Muhammad Uzair Khan, Muhammad Zohaib Iqbal:
A Systematic Mapping Study on Testing of Machine Learning Programs. - Oscar Defrain, Lhouari Nourine, Simon Vilmin:
Translating between the representations of a ranked convex geometry. - Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks. - Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection. - Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros G. Voulgaris, Josep Torrellas:
Maya: Falsifying Power Sidechannels with Operating System Support. - Janin Heuer, Frederic Matter, Marc E. Pfetsch, Thorsten Theobald:
Block-sparse Recovery of Semidefinite Systems and Generalized Null Space Conditions. - Suhas S. Kowshik, Kirill V. Andreev, Alexey A. Frolov, Yury Polyanskiy:
Energy efficient coded random access for the wireless uplink. - Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
Automatic detection of multiple pathologies in fundus photographs using spin-off learning. - Milad Behvandi, Mohammad A. Khosravi, Amir Abolfazl Suratgar:
A New computation reduction based nonlinear Kalman filter. - Elaheh Barati, Xuewen Chen:
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments. - Qing Wang, Jiechao Xiong, Lei Han, Meng Fang, Xinghai Sun, Zhuobin Zheng, Peng Sun, Zhengyou Zhang:
Arena: a toolkit for Multi-Agent Reinforcement Learning. - Marko Spoljarec, Robert Manger:
Heuristic solutions to robust variants of the minimum-cost integer flow problem. - Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song:
Characterizing Attacks on Deep Reinforcement Learning. - Jianfeng Gao, Qiang Wu, Chris Burges, Krysta M. Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou:
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking. - Alexandru Baltag, Soroush Rafiee Rad, Sonja Smets:
Learning Probabilities: Towards a Logic of Statistical Learning. 35-49 - Vicent Blanes-Selva, Vicente Ruiz-García, Salvador Tortajada, José-Miguel Benedí, Bernardo Valdivieso, Juan Miguel García-Gómez:
Design of one-year mortality forecast at hospital admission based: a machine learning approach. - Siqi Liu, Kee Yuan Ngiam, Mengling Feng:
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey. - Lin Meng, Jiawei Zhang:
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification. - Fatemeh Hadaeghi:
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices. - Lucien Bacharach, Carsten Fritsche, Umut Orguner, Eric Chaumette:
Some Results on Tighter Bayesian Lower Bounds on the Mean-Square Error. - Xu Lan, Xiatian Zhu, Shaogang Gong:
Universal Person Re-Identification. - Jeongsik Choi, Yang-Seok Choi, Shilpa Talwar:
Unsupervised Learning Technique to Obtain the Coordinates of Wi-Fi Access Points. - Benedikt Kleinmeier, Benedikt Zönnchen, Marion Gödel, Gerta Köster:
Vadere: An open-source simulation framework to promote interdisciplinary understanding. - Vrindavan Harrison, Lena Reed, Shereen Oraby, Marilyn A. Walker:
Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast. - Dániel Gerbner:
Between the deterministic and non-deterministic query complexity. - Anthony D. Gruber, Eugenio Aulisa:
P-Willmore flow with quasi-conformal mesh regularization. - Niels Mündler:
Association rule mining and itemset-correlation based variants. - Raghunandan M. Rao, Harpreet S. Dhillon, Vuk Marojevic, Jeffrey H. Reed:
Analysis of Worst-Case Interference in Underlay Radar-Massive MIMO Spectrum Sharing Scenarios. - Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaïne, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi Khorshidi:
BEHRT: Transformer for Electronic Health Records. - Zhenwei Dai, Reinhard Heckel:
Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients. - Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus:
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. - Adrian Albert, Jasleen Kaur, Emanuele Strano, Marta C. González:
Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks. - Anu Jagannath, Jithin Jagannath, Andrew L. Drozd:
Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. - João F. L. Alcântara, Samy Sá, Juan Carlos Acosta Guadarrama:
On the Equivalence Between Abstract Dialectical Frameworks and Logic Programs. - Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga:
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. - Xiahan Shi, Leonard Salewski, Martin Schiegg, Zeynep Akata, Max Welling:
Relational Generalized Few-Shot Learning. - Albert E. Patterson, Yang Yuan, William R. Norris:
System-Level Development of a User-Integrated Semi-Autonomous Lawn Mowing System: Problem Overview, Basic Requirements, and Proposed Architecture. - Giovanni Amendola, Francesco Ricca, Mirek Truszczynski:
Beyond NP: Quantifying over Answer Sets. - Giovanni Amendola, Carmine Dodaro, Francesco Ricca:
Better Paracoherent Answer Sets with Less Resources. - Samira Sheikhi:
Practical Newton-Type Distributed Learning using Gradient Based Approximations. - Olivier Gauwin, Anca Muscholl, Michael A. Raskin:
Minimization of visibly pushdown automata is NP-complete. - Naftali Cohen, Tucker Balch, Manuela Veloso:
The Effect of Visual Design in Image Classification. - Peiye Liu, Bo Wu, Huadong Ma, Pavan Kumar Chundi, Mingoo Seok:
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning. - Yating Wang, Guang Lin:
Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media. - Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. - Ancy Sarah Tom, George Karypis:
A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures. - Andrey Zhmoginov, Ian Fischer, Mark Sandler:
Information-Bottleneck Approach to Salient Region Discovery. - Martin Schanzenbach, Thomas Kilian, Julian Schütte, Christian Banse:
ZKlaims: Privacy-preserving Attribute-based Credentials using Non-interactive Zero-knowledge Techniques. - Neil Immerman, Rik Sengupta:
The k-Dimensional Weisfeiler-Leman Algorithm. - Arash Sadeghi Amjadi, Mohsen Raoufi, Ali Emre Turgut, George Broughton, Tomás Krajník, Farshad Arvin:
Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation. - Chen Wang, Chetan Mishra:
Voltage Security Analysis of VSC-HVDC Transmission Lines. - Mohak Bhardwaj, Byron Boots, Mustafa Mukadam:
Differentiable Gaussian Process Motion Planning. - Xiaojie Wang, Chulong Liang, Li Ping, Stephan ten Brink:
Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation. - Nan Xi, Di Ma, Marcus Liou, Zachary C. Steinert-Threlkeld, Jason Anastasopoulos, Jungseock Joo:
Understanding the Political Ideology of Legislators from Social Media Images. - Mingxing Tan, Quoc V. Le:
MixConv: Mixed Depthwise Convolutional Kernels. - Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. - Lorenzo A. Rossi, Chad Shawber, Janet Munu, Finly Zachariah:
Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center. - Mehrdad Tahmasbi, Matthieu R. Bloch:
Steganography Protocols for Quantum Channels. - Francisco Eiras, Morteza Lahijanian, Marta Kwiatkowska:
Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture. - Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang:
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space. - Alexandre Reeberg de Mello, Marcelo Ricardo Stemmer, Alessandro Lameiras Koerich:
Incremental and Decremental Fuzzy Bounded Twin Support Vector Machine. - Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh:
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems. - Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. - Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík:
Doubly robust off-policy evaluation with shrinkage. - Sarkhan Badirli, Zeynep Akata, Murat Dundar:
Bayesian Zero-Shot Learning. - Trevor Davis, Martin Schmid, Michael Bowling:
Low-Variance and Zero-Variance Baselines for Extensive-Form Games. - Yuichi Komorida, Shin-ya Katsumata, Nick Hu, Bartek Klin, Ichiro Hasuo:
Codensity Games for Bisimilarity. - Woojay Jeon, Maxwell Jordan, Mahesh Krishnamoorthy:
On Modeling ASR Word Confidence. - Jing Jin, Junhui Hou, Jie Chen, Sam Kwong, Jingyi Yu:
Learning High-fidelity Light Field Images From Hybrid Inputs. - Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid:
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. - Haoran Zhao, Xin Sun, Junyu Dong, Changrui Chen, Zihe Dong:
Highlight Every Step: Knowledge Distillation via Collaborative Teaching. - Xin Sun, Hongwei Xv, Junyu Dong, Qiong Li, Changrui Chen:
Few-shot Learning for Domain-specfic Fine-grained Image Classfication. - Ran Xin, Soummya Kar, Usman A. Khan:
Decentralized Stochastic First-Order Methods for Large-scale Machine Learning. - Fangneng Zhan, Chuhui Xue, Shijian Lu:
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition. - Masoud Baghbahari, Aman Behal:
Grasping Using Tactile Sensing and Deep Calibration. - Junyang Gao, Xian Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang:
Efficient Knowledge Graph Accuracy Evaluation. - Fan Yang, Sakriani Sakti, Yang Wu, Satoshi Nakamura:
Make Skeleton-based Action Recognition Model Smaller, Faster and Better. - Haijun Liu, Jian Cheng:
Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification. - Brian M. Sutton, Rafatul Faria, Lakshmi Anirudh Ghantasala, Kerem Yunus Çamsari, Supriyo Datta:
Autonomous Probabilistic Coprocessing with Petaflips per Second. - (Withdrawn) Compact Global Descriptor for Neural Networks.
- Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. - Linkai Luo, Yue Wang:
EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification. - Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
Deformable Registration Using Average Geometric Transformations for Brain MR Images. - David Gaddy, Dan Klein:
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following. - Marcus Hörger, Hanna Kurniawati, Alberto Elfes:
Multilevel Monte-Carlo for Solving POMDPs Online. - Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor:
Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks. - Lucas Tabelini Torres, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images. - Frederick Tung, Greg Mori:
Similarity-Preserving Knowledge Distillation. - Lan Hu, Wanting Xu, Kun Huang, Laurent Kneip:
Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors. - Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He:
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference. - Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He:
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. - Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia:
Adaptive Compression-based Lifelong Learning. - Yeonjong Shin, George E. Karniadakis:
Trainability and Data-dependent Initialization of Over-parameterized ReLU Neural Networks. - Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura:
Learning to Select, Track, and Generate for Data-to-Text. - Sooyoung Cha, Seongjoon Hong, Jingyoung Kim, Junhee Lee, Hakjoo Oh:
Enhancing Dynamic Symbolic Execution by Automatically Learning Search Heuristics. - Mengjiao Yang, Been Kim:
BIM: Towards Quantitative Evaluation of Interpretability Methods with Ground Truth. - Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen:
BMN: Boundary-Matching Network for Temporal Action Proposal Generation. - Zhaoyi Wan, Fengming Xie, Yibo Liu, Xiang Bai, Cong Yao:
2D-CTC for Scene Text Recognition. - Samuel Yu, Heon Lee, John Kim:
LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired. - Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim:
RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation. - Yuming Chen, Wai Shun Cheung, Tuen Wai Ng:
An upper bound on the dimension of the voting system of the European Union Council under the Lisbon rules. - Jawdat Alshaer:
Towards Secure IoT: Securing Messages Dissemination in Intelligent Traffic Systems. - Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler:
Metalearned Neural Memory. - Satoru Katsumata, Mamoru Komachi:
Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus. - Yao Ming, Panpan Xu, Huamin Qu, Liu Ren:
Interpretable and Steerable Sequence Learning via Prototypes. - Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Invertible Network for Classification and Biomarker Selection for ASD. - Bryan Liu, Zhiqiang Wei, Jinhong Yuan, Milutin Pajovic:
Deep Learning Assisted User Identification in Massive Machine-Type Communications. - Junjie Huang, Tiejian Luo:
Computing Lens for Exploring the Historical People's Social Network. - Lothar Nannen, Markus Wess:
Complex scaled infinite elements for exterior Helmholtz problems. - Ming Yin, Weitian Huang, Junbin Gao:
Shared Generative Latent Representation Learning for Multi-view Clustering. - Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan:
Position Focused Attention Network for Image-Text Matching. - Junghee Cho, Junseok Kwon, Byung-Woo Hong:
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. - Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
Controlling biases and diversity in diverse image-to-image translation. - Erik Daniel, Elias Rohrer, Florian Tschorsch:
Map-Z: Exposing the Zcash Network in Times of Transition. - Hyeonwoo Yu, Beomhee Lee:
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM. - Eric Benhamou:
Variance Reduction in Actor Critic Methods (ACM). - Mohammad Mohammadi Amiri, Deniz Gündüz:
Federated Learning over Wireless Fading Channels. - Andrey Barsky, Claudio Zito, Hiroki Mori, Tetsuya Ogata, Jeremy L. Wyatt:
Multisensory Learning Framework for Robot Drumming. - Dominik Kowald, Elisabeth Lex, Markus Schedl:
Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations. - Chenyang Lu, Gijs Dubbelman:
Hallucinating Beyond Observation: Learning to Complete with Partial Observation and Unpaired Prior Knowledge. - Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques:
Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling with Haar Wavelet Basis. - Dario A. Bini, Beatrice Meini, Jie Meng:
Solving quadratic matrix equations arising in random walks in the quarter plane. - Liang Pan, Chee-Meng Chew, Gim Hee Lee:
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Atrous Convolution for Point Clouds. - Ricardo Santos, Nina Skorin-Kapov, Hakim Ghazzai, Andreas Kassler:
Fast Steerable Wireless Backhaul Reconfiguration. - Soham Shanbhag, Ravi N. Banavar:
Design of a Discrete Time Observer for the Continuous Time Rotation Kinematics on SO(3). - Mário M. Graça:
High degree quadrature rules with pseudorandom rational nodes. - Davide Fucci, Alireza Mollaalizadehbahnemiri, Walid Maalej:
On Using Machine Learning to Identify Knowledge in API Reference Documentation. - Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy:
E-HBA: Using Action Policies for Expert Advice and Agent Typification. - Xiurui Geng, Lei Wang:
NPSA: Nonorthogonal Principal Skewness Analysis. - Matteo Negri:
Γ-convergence for high order phase field fracture: continuum and isogeometric formulations. - Dalu Guo, Chang Xu, Dacheng Tao:
Graph Reasoning Networks for Visual Question Answering. - Angelos Charalambidis, Christos Nomikos, Panos Rondogiannis:
The Expressive Power of Higher-Order Datalog. - Miguel Picallo, Florian Dörfler:
Sieving out Unnecessary Constraints in Scenario Optimization with an Application to Power Systems. - Oliver Speidel, Maximilian Graf, Thanh Phan-Huu, Klaus Dietmayer:
Towards Courteous Behavior and Trajectory Planning for Automated Driving. - Da Chen, Laurent D. Cohen:
From Active Contours to Minimal Geodesic Paths: New Solutions to Active Contours Problems by Eikonal Equations. - Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Houqiang Li:
Real-Time Correlation Tracking via Joint Model Compression and Transfer. - Björn Feldkord, Till Knollmann, Manuel Malatyali, Friedhelm Meyer auf der Heide:
Managing Multiple Mobile Resources. - Patricia Vitoria, Lara Raad, Coloma Ballester:
ChromaGAN: An Adversarial Approach for Picture Colorization. - Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann:
A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce. - Robert Lung, Yue Wu, Dimitris Kamilis, Nick Polydorides:
A Sketched Finite Element Method for Elliptic Models. - Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. - Stefania Costantini:
About epistemic negation and world views in Epistemic Logic Programs. - Xavier Défago, Adam Heriban, Sébastien Tixeuil, Koichi Wada:
Using Model Checking to Formally Verify Rendezvous Algorithms for Robots with Lights in Euclidean Space. - Kim Baraka, Patrícia Alves-Oliveira, Tiago Ribeiro:
An extended framework for characterizing social robots. - Javier Zazo, Bahareh Tolooshams, Demba E. Ba:
Convolutional Dictionary Learning in Hierarchical Networks. - George Bissias, Brian Neil Levine, David Thibodeau:
Greedy but Cautious: Conditions for Miner Convergence to Resource Allocation Equilibrium. - Cunhang Fan, Bin Liu, Jianhua Tao, Jiangyan Yi, Zhengqi Wen:
Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features. - Ridvan Keskin, Ibrahim Aliskan:
Design of Non-Inverting Buck-Boost Converter for Electronic Ballast Compatible with LED Drivers. - Jonny O'Dwyer, Niall Murray, Ronan Flynn:
Eye-based Continuous Affect Prediction. - Ziyun Wang, Brenden M. Lake:
Modeling question asking using neural program generation. - Armin Mustafa, Chris Russell, Adrian Hilton:
U4D: Unsupervised 4D Dynamic Scene Understanding. - Mathias Morbitzer:
Scanclave: Verifying Application Runtime Integrity in Untrusted Environments. - Saddam Hijazi, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows. - Huajun Liu, Hui Zhang, Christoph Mertz:
DeepDA: LSTM-based Deep Data Association Network for Multi-Targets Tracking in Clutter. - Zhiguo Ding, H. Vincent Poor:
A Simple Design of IRS-NOMA Transmission. - Jonny O'Dwyer:
Speech, Head, and Eye-based Cues for Continuous Affect Prediction. - Simon Greiner, Peter Munk, Arne Nordmann:
Proof of Compositionality of CFT Correctness. - Daniel Lopez Martinez, Neska El Haouij, Rosalind W. Picard:
Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning. - Stephen Wedekind, Philip Fraundorf:
Log Complex Color for Visual Pattern Recognition of Total Sound. - Victor Amelkin, Rakesh Vohra:
Yield Uncertainty and Strategic Formation of Supply Chain Networks. - Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Cristiano Massaroni:
Deep Temporal Analysis for Non-Acted Body Affect Recognition. - Kenjiro Tadakuma, Tori Shimizu, Sosuke Hayashi, Eri Takane, Masahiro Watanabe, Masashi Konyo, Satoshi Tadokoro:
Floating Displacement-Force Conversion Mechanism as a Robotic Mechanism. - Michele Cucuzzella, Krishna Chaitanya Kosaraju, Jacquelien M. A. Scherpen:
Voltage control of DC networks: robustness for unknown ZIP-loads. - Fabian Eckermann, Moritz Kahlert, Christian Wietfeld:
Performance Analysis of C-V2X Mode 4 Communication Introducing an Open-Source C-V2X Simulator. - Atsushi Suzuki, Hideaki Ishii:
Efficient PageRank Computation via Distributed Algorithms with Web Clustering. - Zhongming Xiang, Abbas Rashidi, Ge Ou:
An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data. - S. M. Riazul Islam, Ming Zeng, Octavia A. Dobre, Kyung Sup Kwak:
Non-Orthogonal Multiple Access (NOMA): How It Meets 5G and Beyond. - Tal Hakim, Ilan Shimshoni:
A-MAL: Automatic Motion Assessment Learning from Properly Performed Motions in 3D Skeleton Videos. - Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani:
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing. - Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Temporally Consistent Horizon Lines. - Shao-Yuan Lo, Hsueh-Ming Hang:
Exploring Semantic Segmentation on the DCT Representation. - Shikib Mehri, Tejas Srinivasan, Maxine Eskénazi:
Structured Fusion Networks for Dialog. - Blake Hannaford:
Hidden Markov Models derived from Behavior Trees. - Sara Evensen, Yoshihiko Suhara, Alon Y. Halevy, Vivian Li, Wang-Chiew Tan, Saran Mumick:
Happiness Entailment: Automating Suggestions for Well-Being. - Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani:
Canonical Surface Mapping via Geometric Cycle Consistency. - Denis Tomè, Patrick Peluse, Lourdes Agapito, Hernán Badino:
xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera. - Naftali Cohen, Tucker Balch, Manuela Veloso:
Trading via Image Classification. - Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laëtitia Matignon, Salima Hassas:
TSRuleGrowth : Extraction de règles de prédiction semi-ordonnées à partir d'une série temporelle d'éléments discrets, application dans un contexte d'intelligence ambiante. - Dogucan Yaman, Fevziye Irem Eyiokur, Hazim Kemal Ekenel:
Multimodal Age and Gender Classification Using Ear and Profile Face Images. - Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb:
GraphXNET-Chest X-Ray Classification Under Extreme Minimal Supervision. - Iacopo Savelli, Antonio de Paola, Furong Li:
Ex-ante dynamic network tariffs for transmission cost recovery. - Naima Otberdout, Mohamed Daoudi, Anis Kacem, Lahoucine Ballihi, Stefano Berretti:
Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets. - William J. Layton, Michael McLaughlin:
On URANS Congruity with Time Averaging: Analytical laws suggest improved models. - Elvira Albert, Miquel Bofill, Cristina Borralleras, Enrique Martin-Martin, Albert Rubio:
Resource Analysis driven by (Conditional) Termination Proofs. - Roberto Cominetti, Valerio Dose, Marco Scarsini:
The Price of Anarchy in Routing Games as a Function of the Demand. - Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Exploring Factors for Improving Low Resolution Face Recognition. - Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori:
Lifelong GAN: Continual Learning for Conditional Image Generation. - Robert Falkenberg, Christian Wietfeld:
FALCON: An accurate real-time monitor for client-based mobile network data analytics. - Dayeol Lee, David Kohlbrenner, Shweta Shinde, Dawn Song, Krste Asanovic:
Keystone: A Framework for Architecting TEEs. - Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, Ilhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1. 0 Contributors:
SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python. - Marco Giordani, Andrea Zanella, Takamasa Higuchi, Onur Altintas, Michele Zorzi:
Investigating Value of Information in Future Vehicular Communications. - Debmalya Panigrahi, Shweta Patwa, Sudeepa Roy:
Generalized Deletion Propagation on Counting Conjunctive Query Answers. - Marco Giordani, Takayuki Shimizu, Andrea Zanella, Takamasa Higuchi, Onur Altintas, Michele Zorzi:
Path Loss Models for V2V mmWave Communication: Performance Evaluation and Open Challenges. - Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat, David R. Mortensen, Jaime G. Carbonell, Yulia Tsvetkov:
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology. - Shang Wang, Yifan Bai, Gennady Pekhimenko:
Scaling Back-propagation by Parallel Scan Algorithm. - Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary, James Route, Teruko Mitamura, Eric Nyberg:
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations. - Javad Fotouhi, Tianyu Song, Arian Mehrfard, Giacomo Taylor, Alejandro Martin-Gomez, Bernhard Fuerst, Mehran Armand, Mathias Unberath, Nassir Navab:
Reflective-AR Display: An Interaction Methodology for Virtual-Real Alignment in Medical Robotics. - Mineto Tsukada, Masaaki Kondo, Hiroki Matsutani:
A Neural Network Based On-device Learning Anomaly Detector for Edge Devices. - Hamid Hekmatian, Samir Al-Stouhi, Jingfu Jin:
Conf-Net: Predicting Depth Completion Error-Map For High-Confidence Dense 3D Point-Cloud. - Martin Bäker:
Calculating phase diagrams with ATAT. - Chao Zhang, Samson Lasaulce, Achal Agrawal, Raphaël Visoz:
Distributed Power Control with Partial Channel State Information: Performance Characterization and Design. - Qi Qian, Lei Chen, Hao Li, Rong Jin:
DR Loss: Improving Object Detection by Distributional Ranking. - Saeid Tizpaz-Niari, Pavol Cerný, Sriram Sankaranarayanan, Ashutosh Trivedi:
Efficient Detection and Quantification of Timing Leaks with Neural Networks. - Rinat Abdrashitov, Alec Jacobson, Karan Singh:
A system for efficient 3D printed stop-motion face animation. - Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent:
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. - Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum:
Optimal Transport-based Alignment of Learned Character Representations for String Similarity. - Yeping Hu, Liting Sun, Masayoshi Tomizuka:
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors. - Bryce L. Ferguson, Philip N. Brown, Jason R. Marden:
Utilizing Information Optimally to Influence Distributed Network Routing. - Andrew Reynolds, Haniel Barbosa, Andres Nötzli, Clark W. Barrett, Cesare Tinelli:
CVC4SY for SyGuS-COMP 2019. - Luca Anthony Thiede, Pratik Prabhanjan Brahma:
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction. - Saurabh Malgaonkar, Chan Won Lee, Sherlock A. Licorish, Bastin Tony Roy Savarimuthu, Amjed Tahir:
Appsent A Tool That Analyzes App Reviews. - Saurabh Malgaonkar, Sherlock A. Licorish, Bastin Tony Roy Savarimuthu:
Handling Numerous Stakeholders Requirements A Research Agenda and Preliminary Outcomes. - Mali Senapathi, Jim Buchan, Hady Osman:
DevOps Capabilities, Practices, and Challenges: Insights from a Case Study. - Feng-Ju Chang, Xiang Yu, Ram Nevatia, Manmohan Chandraker:
Pose-variant 3D Facial Attribute Generation. - Saurabh Jha, Shengkun Cui, Tianyin Xu, Jeremy Enos, Mike Showerman, Mark Dalton, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer:
Live Forensics for Distributed Storage Systems. - Xiaobing Feng, Thomas L. Lewis:
A Narrow-stencil finite difference method for approximating viscosity solutions of fully nonlinear elliptic partial differential equations with applications to Hamilton-Jacobi-Bellman equations. - Jim Buchan, Stephen G. MacDonell, Jennifer Yang:
Effective team onboarding in Agile software development: techniques and goals. - Liang Zhou, Rudolf Netzel, Daniel Weiskopf, Chris R. Johnson:
Spectral Visualization Sharpening. - Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender:
Mixed-Supervised Dual-Network for Medical Image Segmentation. - Yi Zhu, Shawn D. Newsam:
Motion-Aware Feature for Improved Video Anomaly Detection. - Yang Liu, Zhuo Ma, Ximeng Liu, Siqi Ma, Surya Nepal, Robert H. Deng:
Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing. - Fulin Tang, Yihong Wu:
Efficient Circle-Based Camera Pose Tracking Free of PnP. - Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama:
Classification from Triplet Comparison Data. - Nidhi Seethapathi, Shaofei Wang, Rachit Saluja, Gunnar Blohm, Konrad P. Körding:
Movement science needs different pose tracking algorithms. - Hyungjun Kim, Malte J. Rasch, Tayfun Gokmen, Takashi Ando, Hiroyuki Miyazoe, Jae-Joon Kim, John Rozen, Seyoung Kim:
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays. - Dekel Tsur:
An FPT algorithm for orthogonal buttons and scissors. - Lidan Zhang, Qi She, Ping Guo:
Stochastic trajectory prediction with social graph network. - Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores:
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. - Jingwei Zhang, Yong Zeng, Rui Zhang:
Receding Horizon Optimization for Energy-Efficient UAV Communication. - Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee:
Learning Spatial Transform for Video Frame Interpolation. - Yijie Guo, Jongwook Choi, Marcin Moczulski, Samy Bengio, Mohammad Norouzi, Honglak Lee:
Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy. - Nitin Agarwal, Sung-Eui Yoon, M. Gopi:
Learning Embedding of 3D models with Quadric Loss. - Vishwanath A. Sindagi, Vishal M. Patel:
HA-CCN: Hierarchical Attention-based Crowd Counting Network. - Sara Mohammadinejad, Jyotirmoy V. Deshmukh, Aniruddh Gopinath Puranic, Marcell Vazquez-Chanlatte, Alexandre Donzé:
Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques. - Koya Sakakibara:
Bidirectional numerical conformal mapping based on the dipole simulation method. - Jun Chen, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David N. Firmin, Guang Yang, Jennifer Keegan:
Discriminative Consistent Domain Generation for Semi-supervised Learning. - Shaodi You:
Hyperspectral City V1.0 Dataset and Benchmark. - Tim J. Dodwell, S. Kinston, Richard Butler, Raphael T. Haftka, Nam H. Kim, Robert Scheichl:
Multilevel Monte Carlo Simulations of Composite Structures with Uncertain Manufacturing Defects. - Adam James Hall, Nikolaos Pitropakis, William J. Buchanan, Naghmeh Moradpoor:
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. - Ying Qu, Zhenzhou Shao, Hairong Qi:
One-Shot Mutual Affine-Transfer for Photorealistic Stylization. - Ariyam Das, Carlo Zaniolo:
A Case for Stale Synchronous Distributed Model for Declarative Recursive Computation. - Matt Muir, Petra Leimich, William J. Buchanan:
A Forensic Audit of the Tor Browser Bundle. - Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi:
Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine. - Chia-Hung Huang, Hang Yin, Yu-Wing Tai, Chi-Keung Tang:
StableNet: Semi-Online, Multi-Scale Deep Video Stabilization. - Yunus Can Bilge, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis:
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages? - Miguel Picallo, Adolfo Anta, Bart De Schutter:
Stochastic Optimal Power Flow in Distribution Grids under Uncertainty from State Estimation. - Wei Bi, Jun Gao, Xiaojiang Liu, Shuming Shi:
Fine-Grained Sentence Functions for Short-Text Conversation. - Chenglong Li, Wei Xia, Yan Yan, Bin Luo, Jin Tang:
Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation. - John Augustine, Valerie King, Anisur Rahaman Molla, Gopal Pandurangan, Jared Saia:
Scalable and Secure Computation Among Strangers: Resource-Competitive Byzantine Protocols. - Haichao Zhang, Jianyu Wang:
Towards Adversarially Robust Object Detection. - Leonor Barroca, Torgeir Dingsøyr, Marius Mikalsen:
Agile Transformation: A Summary and Research Agenda from the First International Workshop. - Sarah Manard, Nicolas Vergos, Simon Tamayo, Frédéric Fontane:
Electronic health record in the era of industry 4.0: the French example. - Paul Weng:
Fairness in Reinforcement Learning. - Jin Han Lee, Myung-Kyu Han, Dong Wook Ko, Il Hong Suh:
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation. - Yusuke Kawamoto:
Towards Logical Specification of Statistical Machine Learning. - Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris, Evangelos P. Markatos, Nicolas Kourtellis:
Measuring ad value without bankrupting user privacy. - Gonzague Yernaux, Wim Vanhoof:
Anti-unification in Constraint Logic Programming. - Mirsad Cosovic, Dejan Vukobratovic:
Observability Analysis for Large-Scale Power Systems Using Factor Graphs. - Zhenwei He, Lei Zhang:
Multi-adversarial Faster-RCNN for Unrestricted Object Detection. - Jiechao Ma, Yingqian Chen, Yu Chen, Fengkai Wan, Sumin Xue, Ziping Li, Shiting Feng:
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study. - André F. T. Martins, Vlad Niculae:
Notes on Latent Structure Models and SPIGOT. - Chuchu Chen, Jialin Hong, Chol Sim, Kwang Sonwu:
Energy-preserving multi-symplectic Runge-Kutta methods for Hamiltonian wave equations. - Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins:
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task. - Christian Henkel, Jannik Abbenseth, Marc Toussaint:
An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem. - António Góis, André F. T. Martins:
Translator2Vec: Understanding and Representing Human Post-Editors. - Iliya Bouyukliev, Stefka Bouyuklieva:
Classification of linear codes using canonical augmentation. - Soshi Shimada, Vladislav Golyanik, Edgar Tretschk, Didier Stricker, Christian Theobalt:
DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies. - Kavita Dubey, Anant Agarwal, Astitwa Sarthak Lathe, Ranjeet Kumar, Vishal Srivastava:
Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy. - Wenhuan Zeng, Abulikemu Abuduweili, Lei Li, Pengcheng Yang:
Automatic Generation of Personalized Comment Based on User Profile. - Simon D. Duque Antón, Sapna Sinha, Hans Dieter Schotten:
Anomaly-based Intrusion Detection in Industrial Data with SVM and Random Forests. - Vera Traub, Jens Vygen, Rico Zenklusen:
Reducing Path TSP to TSP. - Théis Bazin, Gaëtan Hadjeres:
NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting. - Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe:
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties. - Chirag Raman, Hayley Hung:
Towards automatic estimation of conversation floors within F-formations. - Yolanda D. Austria, Luisito L. Lacatan, John Gregory D. Funtera, Shawn C. Garcia, Jonet H. Montenegro, Laymar T. Santilleces:
Face Recognition for Motorcycle Engine Ignition with Messaging System. - Peter Aaby, Juanjo Mata De Acuna, Richard Macfarlane, William J. Buchanan:
Privacy Parameter Variation Using RAPPOR on a Malware Dataset. - Eric Mitchell, Kazim Selim Engin, Volkan Isler, Daniel D. Lee:
Higher-Order Function Networks for Learning Composable 3D Object Representations. - Mario Alviano, Carmine Dodaro, Johannes Klaus Fichte, Markus Hecher, Tobias Philipp, Jakob Rath:
Inconsistency Proofs for ASP: The ASP-DRUPE Format. - Jinzhi Huang, Zhongxiao Jia:
On choices of formulations of computing the generalized singular value decomposition of a matrix pair. - Laurine Bénéteau, Jérémie Chalopin, Victor Chepoi, Yann Vaxès:
Medians in median graphs in linear time. - Zheng Hui, Jie Li, Xinbo Gao, Xiumei Wang:
Progressive Perception-Oriented Network for Single Image Super-Resolution. - Camille Roth:
Algorithmic Distortion of Informational Landscapes. - Yeara Kozlov, Hongyi Xu, Moritz Bächer, Derek Bradley, Markus H. Gross, Thabo Beeler:
Data-Driven Physical Face Inversion. - Yun Xiang, Zhuangzhi Chen, Zuohui Chen, Zebin Fang, Haiyang Hao, Jinyin Chen, Yi Liu, Zhefu Wu, Qi Xuan, Xiaoniu Yang:
Open DNN Box by Power Side-Channel Attack. - Joseph Attia:
Evaluating the Effectiveness of Common Technical Trading Models. - Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber:
Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products. - Adel Bibi, Baoyuan Wu, Bernard Ghanem:
Constrained K-means with General Pairwise and Cardinality Constraints. - Nils Wilde, Alexandru Blidaru, Stephen L. Smith, Dana Kulic:
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation. - Georgios Katsimpras, Georgios Paliouras:
Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks. - Sumedh Yadav, Mathis Bode:
A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training. - Ciro Greco, Andrea Polonioli, Jacopo Tagliabue:
Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence. - Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller:
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings. - Roufaida Laidi, Djamel Djenouri, Marc Ringel:
Commercial Technologies for Advanced Light Control in Smart Building Energy Management Systems: A Comparative Study. - (Withdrawn) Noise Contrastive Variational Autoencoders.
- Ayush Hariharan, Ankit Gupta, Trisha Pal:
CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection. - Sebastian Maneth, Fabian Peternek:
Constant Delay Traversal of Grammar-Compressed Graphs with Bounded Rank. - Daniel Hole, Sebastian Padó:
Distributional Analysis of Function Words. - Kader Pustu-Iren, Markus Mühling, Nikolaus Korfhage, Joanna Bars, Sabrina Bernhöft, Angelika Hörth, Bernd Freisleben, Ralph Ewerth:
Investigating Correlations of Inter-coder Agreement and Machine Annotation Performance for Historical Video Data. - Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang, Xiao Wang:
Dense Feature Aggregation and Pruning for RGBT Tracking. - Souâad Boudebza, Rémy Cazabet, Omar Nouali, Faiçal Azouaou:
Detecting Stable Communities in Link Streams at Multiple Temporal Scales. - Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi:
Quantum Advantage and Y2K Bug: Comparison. - Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu:
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems. - Ágnes Cseh, Klaus Heeger:
The stable marriage problem with ties and restricted edges. - Diego Deplano, Mauro Franceschelli, Alessandro Giua:
A Nonlinear Perron-Frobenius Approach for Stability and Consensus of Discrete-Time Multi-Agent Systems. - Vittorio Bilò, Marios Mavronicolas:
The Complexity of Computational Problems about Nash Equilibria in Symmetric Win-Lose Games. - Bernardo Cuteri, Carmine Dodaro, Francesco Ricca, Peter Schüller:
Partial Compilation of ASP Programs. - Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia:
STD: Sparse-to-Dense 3D Object Detector for Point Cloud. - Ping Luo, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li:
Switchable Normalization for Learning-to-Normalize Deep Representation. - Victor Y. Pan:
Low Rank Approximation of a Matrix at Sub-linear Cost. - Ashar Ahmad, Muhammad Saad, Aziz Mohaisen:
Secure and Transparent Audit Logs with BlockAudit. - Zijia Zhong, Earl E. Lee II:
Alternative Intersection Designs with Connected and Automated Vehicle. - Francesco Belardinelli, Umberto Grandi:
Social Choice Methods for Database Aggregation. 50-67 - Jonas Höchst, Artur Sterz, Alexander Frömmgen, Denny Stohr, Ralf Steinmetz, Bernd Freisleben:
Learning Wi-Fi Connection Loss Predictions for Seamless Vertical Handovers Using Multipath TCP. - Yannic Maus:
P-SLOCAL-Completeness of Maximum Independent Set Approximation. - Yen-Wei Chang, Wen-Hsiao Peng:
Learning Goal-Oriented Visual Dialog Agents: Imitating and Surpassing Analytic Experts. - Mikolaj Bojanczyk, Rafal Stefanski:
Single use register automata for data words. - Ibrahim Al-Nahhal, Masoud Alghoniemy, Adel B. Abd El-Rahman, Zen Kawasaki:
Modified zero forcing decoder for ill-conditioned channels. - Alexander Serb, Themistoklis Prodromakis:
A system of different layers of abstraction for artificial intelligence. - Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari:
Achieving Fairness in the Stochastic Multi-armed Bandit Problem. - Joe Raad, Nathalie Pernelle, Fatiha Saïs, Wouter Beek, Frank van Harmelen:
The sameAs Problem: A Survey on Identity Management in the Web of Data. - Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy:
SpanBERT: Improving Pre-training by Representing and Predicting Spans. - Sérgio Agostinho, João Gomes, Alessio Del Bue:
CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences. - Efthymios N. Karatzas, Giovanni Stabile, Léo Nouveau, Guglielmo Scovazzi, Gianluigi Rozza:
A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations. - Serge Gratton, Ehouarn Simon, David Titley-Péloquin, Philippe L. Toint:
Exploiting variable precision in GMRES. - Gabriele Santin, Bernard Haasdonk:
Kernel Methods for Surrogate Modeling. - Hayder Hamandi, Nabil J. Sarhan:
QRMODA and BRMODA: Novel Models for Face Recognition Accuracy in Computer Vision Systems with Adapted Video Streams. - Tobias Laas, Josef A. Nossek, Samer Bazzi, Wen Xu:
On Reciprocity in Physically Consistent TDD Systems with Coupled Antennas. - Prakhar Gupta, Shikib Mehri, Tiancheng Zhao, Amy Pavel, Maxine Eskénazi, Jeffrey P. Bigham:
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References. - Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam:
Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning. - Yuanpei Liu, Xingping Dong, Wenguan Wang, Jianbing Shen:
Teacher-Students Knowledge Distillation for Siamese Trackers. - Jean-Christophe Dubois, Laetitia Gros, Mouloud Kharoune, Yolande Le Gall, Arnaud Martin, Zoltán Miklós, Hosna Ouni:
Measuring the Expertise of Workers for Crowdsourcing Applications. - Tobechukwu Agbele, Bing Xu, Richard Jiang:
Biometric Blockchain: A Better Solution for the Security and Trust of Food Logistics. - Hao Jiang, Eric Ballot, Shenle Pan:
Modeling and analysis of alternative distribution and Physical Internet schemes in urban area. - Nitish Nag, Vaibhav Pandey, Likhita Navali, Prateek Mohan, Ramesh C. Jain:
Synchronizing Geospatial Information for Personalized Health Monitoring. - Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Robust and Communication-Efficient Collaborative Learning. - Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni:
Green AI. - Greg Yang, Hadi Salman:
A Fine-Grained Spectral Perspective on Neural Networks. - Iovka Boneva, Jérémie Dusart, Daniel Fernández-Álvarez, José Emilio Labra Gayo:
Semi Automatic Construction of ShEx and SHACL Schemas. - Vinod Kumar Kurmi, Vipul Bajaj, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Curriculum based Dropout Discriminator for Domain Adaptation. - Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara:
Semi-parametric Object Synthesis. - Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale. - Kevin K. Bowden, JiaQi Wu, Wen Cui, Juraj Juraska, Vrindavan Harrison, Brian Schwarzmann, Nick Santer, Marilyn A. Walker:
SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre. - Matthias Ochs, Adrian Kretz, Rudolf Mester:
SDNet: Semantically Guided Depth Estimation Network. - Xiu Ye, Shangyou Zhang:
A conforming DG method for the biharmonic equation on polytopal meshes. - Xuankang Lin, He Zhu, Roopsha Samanta, Suresh Jagannathan:
ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks. - Asma Ghandeharioun, Daniel McDuff, Mary Czerwinski, Kael Rowan:
Towards Understanding Emotional Intelligence for Behavior Change Chatbots. - Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille:
Deep Differentiable Random Forests for Age Estimation. - Francesco Malandrino, Carla-Fabiana Chiasserini, Claudio Casetti, Giada Landi, Marco Capitani:
An Optimization-enhanced MANO for Energy-efficient 5G Networks. - Apostolos I. Rikos, Christoforos N. Hadjicostis:
Distributed Average Consensus under Quantized Communication via Event-Triggered Mass Splitting. - Ángel Cuevas, José González Cabañas, Aritz Arrate Galán, Rubén Cuevas:
Does Facebook Use Sensitive Data for Advertising Purposes? Worldwide Analysis and GDPR Impact. - Danil Annenkov, Bas Spitters:
Towards a Smart Contract Verification Framework in Coq. - Diego Moussallem, Matthias Wauer, Axel-Cyrille Ngonga Ngomo:
Semantic Web for Machine Translation: Challenges and Directions. - Eunice Y. S. Chan, Robert M. Corless, Laureano González-Vega, J. Rafael Sendra, Juana Sendra:
Upper Hessenberg and Toeplitz Bohemians. - Sabur Baidya, Marco Levorato:
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. - Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dual Grid Net: hand mesh vertex regression from single depth maps. - Brian Hempel, Justin Lubin, Ravi Chugh:
Sketch-n-Sketch: Output-Directed Programming for SVG. - Florian Willomitzer, Chia-Kai Yeh, Vikas Gupta, William Spies, Florian Schiffers, Marc Walton, Oliver Cossairt:
Uncalibrated Deflectometry with a Mobile Device on Extended Specular Surfaces. - Yu Wang, Gu-Yeon Wei, David Brooks:
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning. - Haoyin Zhou, Eva Gombos, Mehra Golshan, Jagadeesan Jayender:
Real-time Deformation of Soft Tissue Internal Structure with Surface Profile Variations using Particle System. - Gilles Barthe, Justin Hsu, Kevin Liao:
A Probabilistic Separation Logic. - Giulio Siracusano, Aurelio La Corte, Riccardo Tomasello, Francesco Lamonaca, Carmelo Scuro, Francesca Garescì, Mario Carpentieri, Giovanni Finocchio:
Automatic crack detection and classification by exploiting statistical event descriptors for Deep Learning. - Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. - Jeremy G. Hoskins, Manas Rachh:
On the solution of Laplace's equation in the vicinity of triple-junctions. - Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
LayoutVAE: Stochastic Scene Layout Generation from a Label Set. - Yiwei Zhang, Eitan Yaakobi, Tuvi Etzion:
Private Proximity Retrieval Codes. - Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee:
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. - Haichao Zhang, Jianyu Wang:
Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks. - Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Careful Selection of Knowledge to solve Open Book Question Answering. - Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush:
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. - Faiq Ghawash, Waseem Abbas:
Leveraging Diversity for Achieving Resilient Consensus in Sparse Networks. - Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar:
Sampled Softmax with Random Fourier Features. - Evgeny M. Khorov, Alexander Krotov, Andrey I. Lyakhov:
Modelling machine type communication in IEEE 802.11ah networks. - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Bilingual Lexicon Induction through Unsupervised Machine Translation. - Xiao-Yun Zhou, Zhao-Yang Wang, Peichao Li, Jian-Qing Zheng, Guang-Zhong Yang:
One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud. - Haichao Zhang, Jianyu Wang:
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training. - Siqi Liu, Sidhanth Mohanty, Elizabeth Yang:
High-Dimensional Expanders from Expanders. - Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag:
Towards AutoML in the presence of Drift: first results. - Michael Perlmutter, Sami Merhi, Aditya Viswanathan, Mark A. Iwen:
Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization. - Shiri Chechik, Yang P. Liu, Omer Rotem, Aaron Sidford:
Improved Girth Approximation and Roundtrip Spanners. - Hui Liu, Wentao Qin, Xiaojun Wan:
INS: An Interactive Chinese News Synthesis System. - Celal Savur, Shitij Kumar, Ferat Sahin:
A Framework for Monitoring Human Physiological Response during Human Robot Collaborative Task. - Sang Uk Sagong, Radha Poovendran, Linda Bushnell:
Mitigating Vulnerabilities of Voltage-based Intrusion Detection Systems in Controller Area Networks. - Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou:
Interpreting the Latent Space of GANs for Semantic Face Editing. - Ziv Scully, Mor Harchol-Balter, Alan Scheller-Wolf:
Simple Near-Optimal Scheduling for the M/G/1. - Byunghyun Ban, Donghun Ryu, Minwoo Lee:
Machine learning approach to remove ion interference effect in agricultural nutrient solutions. - Byunghyun Ban, Minwoo Lee, Donghun Ryu:
ODE network model for nonlinear and complex agricultural nutrient solution system. - Dong Liu, Rohit Puri, Nagendra Kamath, Subhabrata Bhattacharya:
Composition-Aware Image Aesthetics Assessment. - Ajoy K. Datta, Lawrence L. Larmore, Toshimitsu Masuzawa, Yuichi Sudo:
A Self-Stabilizing Minimal k-Grouping Algorithm. - Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. - Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis:
On the Koopman operator of algorithms. - Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. - Jae Shin Yoon, Takaaki Shiratori, Shoou-I Yu, Hyun Soo Park:
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking. - Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge J. Belongie, Ser-Nam Lim:
Enhancing Adversarial Example Transferability with an Intermediate Level Attack. - P. Balasubramanian:
Performance Comparison of Quasi-Delay-Insensitive Asynchronous Adders. - Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. - Junho Kim, Minjae Kim, Hyeonwoo Kang, Kwanghee Lee:
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. - Chang Min Hyun, Kang Cheol Kim, Hyun Cheol Cho, Jae Kyu Choi, Jin Keun Seo:
Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data. - Peter McLaren, Gordon Russell, William J. Buchanan, Zhiyuan Tan:
Decrypting live SSH traffic in virtual environments. - Chunfei Ma, Joonhyang Choi, Byeongwon Lee, Seungji Yang:
Submission to ActivityNet Challenge 2019: Task B Spatio-temporal Action Localization. - Wenxuan Wang, Qiang Sun, Tao Chen, Chenjie Cao, Ziqi Zheng, Guoqiang Xu, Han Qiu, Yanwei Fu:
A Fine-Grained Facial Expression Database for End-to-End Multi-Pose Facial Expression Recognition. - Yun Ye, Yixin Li, Bo Wu, Wei Zhang, Lingyu Duan, Tao Mei:
Hard-Aware Fashion Attribute Classification. - Amit K. Sanyal:
Nonlinearly Stable Real-Time Learning and Model-Free Control. - Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang:
Learning Resolution-Invariant Deep Representations for Person Re-Identification. - Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-GAN: a Point Cloud Upsampling Adversarial Network. - Shane Murnion, William J. Buchanan, Adrian Smales, Gordon Russell:
Machine learning and semantic analysis of in-game chat for cyberbullying. - Xiaotao Song, Hailong Sun, Xu Wang, Jiafei Yan:
A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques. - Nikola I. Nikolov, Alessandro Calmanovici, Richard H. R. Hahnloser:
Summary Refinement through Denoising. - Emanuele Viola, Omri Weinstein, Huacheng Yu:
How to Store a Random Walk. - Yuriy Anisimov, Oliver Wasenmüller, Didier Stricker:
A Compact Light Field Camera for Real-Time Depth Estimation. - Max Maria Losch, Mario Fritz, Bernt Schiele:
Interpretability Beyond Classification Output: Semantic Bottleneck Networks. - (Withdrawn) Adaptive Noise Injection: A Structure-Expanding Regularization for RNN.
- Valentina Lenarduzzi, Davide Fucci:
Towards an Holistic Definition of Requirements Debt. - Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese:
DeFog: Fog Computing Benchmarks. - Ahmed Samy Nassar, Sébastien Lefèvre, Jan D. Wegner:
Simultaneous multi-view instance detection with learned geometric soft-constraints. - Michael Elkin, Shaked Matar:
Fast Deterministic Constructions of Linear-Size Spanners and Skeletons. - Jie Mei:
Distributed Consensus for Multiple Lagrangian Systems with Parametric Uncertainties and External Disturbances Under Directed Graphs. - Tom J. Viering, Ziqi Wang, Marco Loog, Elmar Eisemann:
How to Manipulate CNNs to Make Them Lie: the GradCAM Case. - Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama:
Optuna: A Next-generation Hyperparameter Optimization Framework. - Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang:
The Truly Deep Graph Convolutional Networks for Node Classification. - Siqi Wang:
Collaborative Heterogeneous Computing on MPSoCs. - Gen Li, Yuantao Gu:
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. - Fernando Sáenz-Pérez:
Applying Constraint Logic Programming to SQL Semantic Analysis. - Jiaolong Xu, Liang Xiao, Antonio M. López:
Self-supervised Domain Adaptation for Computer Vision Tasks. - Benjamin Nicholls, Chee Siang Ang, Eiman Kanjo, Panote Siriaraya, Woon-Hong Yeo, Athanasios Tsanas:
An EMG-based Eating Behaviour Monitoring System with Haptic Feedback to Promote Mindful Eating. - Alex Alvarado, Gabriele Liga, Yi Lei, Bin Chen, Alexios Balatsoukas-Stimming:
Improving HD-FEC decoding via bit marking. - María Alpuente, Demis Ballis, Santiago Escobar, Julia Sapiña:
Symbolic Analysis of Maude Theories with Narval. - Pierre Talbot:
Spacetime Programming: A Synchronous Language for Composable Search Strategies. - Wolfgang Faber, Michael Morak, Stefan Woltran:
On Uniform Equivalence of Epistemic Logic Programs. - Enza Pellegrino, Laura Pezza, Francesca Pitolli:
A Collocation Method in Spline Spaces for the Solution of Linear Fractional Dynamical Systems. - Mattias P. Heinrich:
Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks. - S. Hamidreza Kasaei:
Object Perception and Grasping in Open-Ended Domains. - Cristian Ivan:
Convolutional Neural Networks on Randomized Data. - Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao:
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. - Václav Rozhon, Mohsen Ghaffari:
Polylogarithmic-Time Deterministic Network Decomposition and Distributed Derandomization. - Sagar Uprety, Shahram Dehdashti, Lauren Fell, Peter Bruza, Dawei Song:
Modelling Dynamic Interactions between Relevance Dimensions. - Massimiliano Patacchiola, Patrick Fox-Roberts, Edward Rosten:
Y-Autoencoders: disentangling latent representations via sequential-encoding. - Andrew Cropper, Sophie Tourret:
Logical reduction of metarules. - Andrew Cropper, Rolf Morel, Stephen H. Muggleton:
Learning higher-order logic programs. - Vishesh Vatsal, C. Barath, J. Yogeshwaran, Deepana Gandhi, Chhavilata Sahu, Karthic Balasubramanian, Shyam Mohan, Midhun S. Menon, P. Natarajan, Vivek Raghavan:
Overview of Guidance, Navigation and Control System of the TeamIndus lunar lander. - Pierre Vuillemin, Charles Poussot-Vassal:
Discretisation of continuous-time linear dynamical model with the Loewner interpolation framework. - Mengyu Liu, Hujun Yin:
Cross Attention Network for Semantic Segmentation. - Artur Sterz, Lars Baumgärtner, Jonas Höchst, Patrick Lampe, Bernd Freisleben:
OPPLOAD: Offloading Computational Workflows in Opportunistic Networks. - Froilán M. Dopico, Silvia Marcaida, María C. Quintana, Paul Van Dooren:
Local Linearizations of Rational Matrices with Application to Rational Approximations of Nonlinear Eigenvalue Problems. - Zeju Li, Konstantinos Kamnitsas, Ben Glocker:
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation. - Kentaro Sumigawa, Sankardeep Chakraborty, Kunihiko Sadakane, Srinivasa Rao Satti:
Enumerating Range Modes. - S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman:
Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization. - Charalambos D. Charalambous, Christos K. Kourtellaris, Sergey Loyka:
Time-Invariant Feedback Strategies Do Not Increase Capacity of AGN Channels Driven by Stable and Certain Unstable Autoregressive Noise. - Qing Zhang, Yongwei Nie, Chunxia Xiao, Wei-Shi Zheng:
Enhancing Underexposed Photos using Perceptually Bidirectional Similarity. - Beatrice van Amsterdam, Hirenkumar Nakawala, Elena De Momi, Danail Stoyanov:
Weakly Supervised Recognition of Surgical Gestures. - Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker:
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. - Ludovik Coba, Panagiotis Symeonidis, Markus Zanker:
Personalised novel and explainable matrix factorisation. - Horia Porav, Tom Bruls, Paul Newman:
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation. - Efthimis Tsilionis, Nikolaos Koutroumanis, Panagiotis Nikitopoulos, Christos Doulkeridis, Alexander Artikis:
Online Event Recognition from Moving Vehicles: Application Paper. - Tomás Brázdil, Krishnendu Chatterjee, Antonín Kucera, Petr Novotný, Dominik Velan:
Deciding Fast Termination for Probabilistic VASS with Nondeterminism. - Ochilbek Rakhmanov:
A new approach (extra vertex) and generalization of Shoelace Algorithm usage in convex polygon (Point-in-Polygon). - Asit Kumar Pradhan, Anoosheh Heidarzadeh, Krishna R. Narayanan:
Factored LT and Factored Raptor Codes for Large-Scale Distributed Matrix Multiplication. - Eshwar Ram Arunachaleswaran, Siddharth Barman, Rachitesh Kumar, Nidhi Rathi:
Fair and Efficient Cake Division with Connected Pieces. - Ochilbek Rakhmanov, Nzurumike Obianuju, Amina Sani, Rukayya Umar:
Experimentation on the motion of an obstacle avoiding robot. - Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé:
Towards Generalizing Sensorimotor Control Across Weather Conditions. - Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci:
Not All Bugs Are the Same: Understanding, Characterizing, and Classifying the Root Cause of Bugs. - Petra van den Bos, Frits W. Vaandrager:
State Identification for Labeled Transition Systems with Inputs and Outputs. - Lars Berscheid, Pascal Meißner, Torsten Kröger:
Robot Learning of Shifting Objects for Grasping in Cluttered Environments. - Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi:
Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping. - Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu:
DeepDrawing: A Deep Learning Approach to Graph Drawing. - Constantinos Marios Angelopoulos, Vasilios Katos, Theodoros Kostoulas, Andreas I. Miaoudakis, Nikolaos E. Petroulakis, George Alexandris, Giorgos Demetriou, Giuditta Morandi, Karolina Waledzik, Urszula Rak, Marios Panayiotou, Christos Iraklis Tsatsoulis:
IDEAL-CITIES: A Trustworthy and Sustainable Framework for Circular Smart Cities. - Chunyang Xiao, Christoph Teichmann, Konstantine Arkoudas:
Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing. - Ken Duffy, Seva Shneer:
MDS coding is better than replication for job completion times. - Bernd Finkbeiner, Manuel Gieseking, Jesko Hecking-Harbusch, Ernst-Rüdiger Olderog:
Model Checking Data Flows in Concurrent Network Updates (Full Version). - Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel:
HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews. - Nan Jiang, Yansha Deng, Osvaldo Simeone, Arumugam Nallanathan:
Online Supervised Learning for Traffic Load Prediction in Framed-ALOHA Networks. - Zehui Lin, Pengfei Liu, Luyao Huang, Junkun Chen, Xipeng Qiu, Xuanjing Huang:
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks. - Kaite Xiang, Kaiwei Wang, Kailun Yang:
Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems. - Ethan Bommarito, Michael J. Bommarito II:
An Empirical Analysis of the Python Package Index (PyPI). - Karl Bringmann, Marvin Künnemann, Karol Wegrzycki:
Approximating APSP without Scaling: Equivalence of Approximate Min-Plus and Exact Min-Max. - Alan Chern, Phuong Hoang, Madhav Sigdel, Janani Balaji, Mohammed Korayem:
Automated Discovery and Classification of Training Videos for Career Progression. - Gong Heyang, Zhu Ke:
Info Intervention. - Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li:
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications. - Francisco Fuica, Enrique Otárola, Daniel Quero:
Error estimates for optimal control problems of the Stokes system with Dirac measures. - Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz:
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge. - Mihai Bâce, Sander Staal, Andreas Bulling:
How far are we from quantifying visual attention in mobile HCI? - Seyed Mehdi Ayyoubzadeh, Xiaolin Wu:
Filter Bank Regularization of Convolutional Neural Networks. - Lukas Liebel, Marco Körner:
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification. - Arpit Sharma:
Using Answer Set Programming for Commonsense Reasoning in the Winograd Schema Challenge. - Yixin Chen, Lin Meng, Jiawei Zhang:
Graph Neural Lasso for Dynamic Network Regression. - Mihai Bâce, Sander Staal, Andreas Bulling:
Accurate and Robust Eye Contact Detection During Everyday Mobile Device Interactions. - Michael Wray, Dima Damen:
Learning Visual Actions Using Multiple Verb-Only Labels. - Clément Cancès, Claire Chainais-Hillairet, Jürgen Fuhrmann, Benoît Gaudeul:
A numerical analysis focused comparison of several Finite Volume schemes for an Unipolar Degenerated Drift-Diffusion Model. - Casey Kneale, Kolia Sadeghi:
Semisupervised Adversarial Neural Networks for Cyber Security Transfer Learning. - Lau Skorstengaard:
An Introduction to Logical Relations. - Benjamin R. Cowan, Philip R. Doyle, Justin Edwards, Diego Garaialde, Ali Hayes-Brady, Holly P. Branigan, João P. Cabral, Leigh Clark:
What's in an accent? The impact of accented synthetic speech on lexical choice in human-machine dialogue. - Fariz Ikhwantri:
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER. - David R. Large, Gary E. Burnett, Leigh Clark:
Lessons from Oz: Design Guidelines for Automotive Conversational User Interfaces. - Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly:
Google Research Football: A Novel Reinforcement Learning Environment. - Yiwei Yang, Eser Kandogan, Yunyao Li, Walter S. Lasecki, Prithviraj Sen:
HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop. - Adam Allevato, Elaine Schaertl Short, Mitch Pryor, Andrea Lockerd Thomaz:
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer. - Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas:
Unsupervised Domain Adaptation via Calibrating Uncertainties. - Hazem Sallouha, Alessandro Chiumento, Sreeraj Rajendran, Sofie Pollin:
Localization in Ultra Narrow Band IoT Networks: Design Guidelines and Trade-Offs. - Tsvi Kopelowitz, Ely Porat:
The Strong 3SUM-INDEXING Conjecture is False. - David Augustin, Marius Hofmann, Ulrich Konigorski:
Prediction of Highway Lane Changes Based on Prototype Trajectories. - Mohit Singh:
Integrality Gap of the Vertex Cover Linear Programming Relaxation. - Feng Shi, Ziheng Xu, Tao Yuan, Song-Chun Zhu:
HUGE2: a Highly Untangled Generative-model Engine for Edge-computing. - Mateusz Fedoryszak, Brent Frederick, Vijay Rajaram, Changtao Zhong:
Real-time Event Detection on Social Data Streams. - Konstantinos F. Xylogiannopoulos:
Exhaustive Exact String Matching: The Analysis of the Full Human Genome. - Pei-Chang Guo:
A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem. - Koba Natroshvili, Kai Storr, Fabian Oboril, Kay-Ulrich Scholl:
Precise localization relative to 3D Automated Driving map using the Decentralized Kalman filter with Feedback. - Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalinska, Honorata Hafke-Dys:
Interactive Lungs Auscultation with Reinforcement Learning Agent. - Yen-Chia Hsu, Illah R. Nourbakhsh:
When Human-Computer Interaction Meets Community Citizen Science. - Leila Marandi, Mansour Naslcheraghi, Seyed Ali Ghorashi, Mohammad Shikh-Bahaei:
Delay Analysis in Full-Duplex Heterogeneous Cellular Networks. - Enamul Hoque, Maneesh Agrawala:
Searching the Visual Style and Structure of D3 Visualizations. - Noor Almaadeed, Omar Elharrouss, Somaya Al-Máadeed, Ahmed Bouridane, Azeddine Beghdadi:
A Novel Approach for Robust Multi Human Action Detection and Recognition based on 3-Dimentional Convolutional Neural Networks. - Aviv Ovadya, Jess Whittlestone:
Reducing malicious use of synthetic media research: Considerations and potential release practices for machine learning. - Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.:
Towards meta-learning for multi-target regression problems. - Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald:
Heat Transfer Prediction for Methane in Regenerative Cooling Channels with Neural Networks. - Evgeniia Iakhnis, Adam Badawy:
Networks of Power: Analyzing World Leaders Interactions on Social Media. - Jaime Díaz Arancibia, Vicente Ferrari Smith, Julio López Fenner:
On The Fly Diffie Hellman for IoT. - Michael Motro, Joydeep Ghosh:
Vehicular Multi-object Tracking with Persistent Detector Failures. - Jiyang Bai, Jiawei Zhang:
DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization. - Yang Zhou, Zachary While, Evangelos Kalogerakis:
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation. - Vladimir Yushutin, Annalisa Quaini, Maxim A. Olshanskii:
Numerical modelling of phase separation on dynamic surfaces. - Rylan Conway, Lambert Mathias:
Time Masking: Leveraging Temporal Information in Spoken Dialogue Systems. - Dimitri Racordon, Didier Buchs:
Explicit and Controllable Assignment Semantics. - Hao Tang, Chupeng Zhang, Xiaohui Xie:
NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation. - Mark-Oliver Stehr, Minyoung Kim, Carolyn L. Talcott, Merrill Knapp, Akos Vertes:
Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine. - Masoumeh Safkhani, Nasour Bagheri:
Cryptanalysis of two recently proposed ultralightweight authentication protocol for IoT. - Ran Cohen, Iftach Haitner, Nikolaos Makriyannis, Matan Orland, Alex Samorodnitsky:
On the Round Complexity of Randomized Byzantine Agreement. - Margarida Carvalho:
A note on the complexity of integer programming games. - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image. - Qiang Zhai, Hong Cheng, Rui Huang, Huiqin Zhan:
Place Clustering-based Feature Recombination for Visual Place Recognition. - Jim Buchan, Mark Pearl:
Leveraging the Mob Mentality: An Experience Report on Mob Programming. - Shuxiao Chen, Jonathan Rogers, Bike Zhang, Koushil Sreenath:
Feedback Control for Autonomous Riding of Hovershoes by a Cassie Bipedal Robot. - Paul Tarau, Jan Wielemaker, Tom Schrijvers:
Lazy Stream Programming in Prolog. 224-237 - Gen Li, Inyong Yun, Jonghyun Kim, Joongkyu Kim:
DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation. - Rafael Veras, Christopher Collins:
Discriminability Tests for Visualization Effectiveness and Scalability. - Zhulin Zhang, Dong Li, Jinhua Wu, Yunda Sun, Li Zhang:
MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks. - Sunny Sanyal:
Data Aggregation Techniques for Internet of Things. - Mustafa Ozan Tezcan, Janusz Konrad, Prakash Ishwar:
A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos. - Pei Yan, Yihua Tan, Yuan Xiao, Yuan Tai, Cai Wen:
Unsupervised Learning Framework of Interest Point Via Properties Optimization. - Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao:
Product Image Recognition with Guidance Learning and Noisy Supervision. - Andrew Adamatzky, Alessandro Chiolerio, Konrad Szacilowski:
Liquid metal solves maze. - Tingguang Li, Weitao Xi, Meng Fang, Jia Xu, Max Qing-Hu Meng:
Learning to Solve a Rubik's Cube with a Dexterous Hand. - Kaite Xiang, Kaiwei Wang, Kailun Yang:
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network. - Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu:
Improving Generalization via Attribute Selection on Out-of-the-box Data. - Uri Ben-Levy, Merav Parter:
New (α, β) Spanners and Hopsets. - Xiangyu Guo, Bundit Laekhanukit, Shi Li, Jiayi Xian:
Tight Approximation for Variants of Directed Steiner Tree via State-Tree Decomposition and Linear Programming Rounding. - Chang-Song Deng, Wei Liu:
Semi-implicit Euler-Maruyama method for non-linear time-changed stochastic differential equations. - Animesh Basak Chowdhury:
RERS-Fuzz : Combining Greybox Fuzzing with Interval Analysis for error reachability in reactive softwares. - Daniel Potts, Michael Schmischke:
Learning high-dimensional additive models on the torus. - Mohammad Reza Satouri, Hamed Kebriaei, Abolhassan Razminia, Mohammad Javad Yazdanpanah:
Robust On-Line ADP-based Solution of a Class of Hierarchical Nonlinear Differential Game. - Sangram Kishor Jena, Ramesh K. Jallu, Gautam K. Das:
Generalized Liar's Dominating Set in Graphs. - Defa Zhu, Si Liu, Wentao Jiang, Chen Gao, Tianyi Wu, Guodong Guo:
UGAN: Untraceable GAN for Multi-Domain Face Translation. - Michael Elkin, Yuval Gitlitz, Ofer Neiman:
Almost Shortest Paths and PRAM Distance Oracles in Weighted Graphs. - Kumara Kahatapitiya, Ranga Rodrigo:
LinearConv: Regenerating Redundancy in Convolution Filters as Linear Combinations for Parameter Reduction. - Rémy Cazabet, Giulio Rossetti:
Challenges in Community Discovery on Temporal Networks. - Sebastian P. Kleinschmidt, Bernardo Wagner:
Semantic Deep Intermodal Feature Transfer: Transferring Feature Descriptors Between Imaging Modalities. - Max Eichler, Gözde Gül Sahin, Iryna Gurevych:
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations. - Junhyuk Hyun, Hongje Seong, Euntai Kim:
Universal Pooling - A New Pooling Method for Convolutional Neural Networks. - Pierre Chevalier, Bartlomiej Kaminski, Fraser Hutchison, Qi Ma, Spandan Sharma, Andreas Fackler, William J. Buchanan:
Protocol for Asynchronous, Reliable, Secure and Efficient Consensus (PARSEC) Version 2.0. - Nicolas Boizot, Ludovic Sacchelli:
A bisector line field approach to interpolation of orientation fields. - Heinke Hihn, Sebastian Gottwald, Daniel A. Braun:
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems. - Isabel Funke, Sebastian Bodenstedt, Florian Oehme, Felix von Bechtolsheim, Jürgen Weitz, Stefanie Speidel:
Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video. - Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo:
Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach. - Ruize Han, Yujun Zhang, Wei Feng, Chenxing Gong, Xiaoyu Zhang, Jiewen Zhao, Liang Wan, Song Wang:
Multiple Human Association between Top and Horizontal Views by Matching Subjects' Spatial Distributions. - Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. - Pedro García López, Marc Sánchez Artigas, Simon Shillaker, Peter R. Pietzuch, David Breitgand, Gil Vernik, Pierre Sutra, Tristan Tarrant, Ana Juan Ferrer:
ServerMix: Tradeoffs and Challenges of Serverless Data Analytics. - Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, David Pearce, Gilberto Pérez, Concepción Vidal:
Revisiting Explicit Negation in Answer Set Programming. - Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori:
Learning and T-Norms Theory. - Bin Jiang, Wenxuan Tu, Chao Yang, Junsong Yuan:
Context-Integrated and Feature-Refined Network for Lightweight Urban Scene Parsing. - Josip Saric, Marin Orsic, Tonci Antunovic, Sacha Vrazic, Sinisa Segvic:
Single Level Feature-to-Feature Forecasting with Deformable Convolutions. - Haris Mumtaz, Shahid Latif, Fabian Beck, Daniel Weiskopf:
Exploranative Code Quality Documents. - Rongchang Xie, Fei Yu, Jiachao Wang, Yizhou Wang, Li Zhang:
Multi-level Domain Adaptive learning for Cross-Domain Detection. - Xin Wang, Bo Wu, Yun Ye, Yueqi Zhong:
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. - Mohammed Khwaja, Aleksandar Matic:
Personality is Revealed During Weekends: Towards Data Minimisation for Smartphone Based Personality Classification. - Yumo Xu, Mirella Lapata:
Weakly Supervised Domain Detection. - Alexander Steen, Christoph Benzmüller:
Extensional Higher-Order Paramodulation in Leo-III. - Bulla Rajesh, Mohammed Javed, Ratnesh, Shubham Srivastava:
DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients. - Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Meßner, Siyang Song, Shuo Liu, Ziping Zhao, Adria Mallol-Ragolta, Zhao Ren, Mohammad Soleymani, Maja Pantic:
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. - Leilei Gan, Yue Zhang:
Investigating Self-Attention Network for Chinese Word Segmentation. - Hui Kong, Ezio Bartocci, Yu Jiang, Thomas A. Henzinger:
Piecewise Robust Barrier Tubes for Nonlinear Hybrid Systems with Uncertainty. - Xiaojie Wang, Chulong Liang, Li Ping, Stephan ten Brink:
Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation. - Dumindu Tissera, Kumara Kahatapitiya, Rukshan Darshana Wijesinghe, Subha Fernando, Ranga Rodrigo:
Context-Aware Multipath Networks. - Hai Ye, Zhunchen Luo:
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction. - Mohamed Khalifa, Farah Magrabi, Blanca Gallego:
Evaluating the Impact of Using GRASP Framework on Clinicians and Healthcare Professionals Decisions in Selecting Clinical Predictive Tools. - Mohamed Khalifa, Farah Magrabi, Blanca Gallego:
Validating and Updating GRASP: A New Evidence-Based Framework for Grading and Assessment of Clinical Predictive Tools. - Sreya Banerjee, Rosaura G. VidalMata, Zhangyang Wang, Walter J. Scheirer:
Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms. - James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum:
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales. - Guanying Chen, Kai Han, Kwan-Yee K. Wong:
Learning Transparent Object Matting. - Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini:
Compressing deep quaternion neural networks with targeted regularization. - Larry Bull:
Autoencoding with a Learning Classifier System: Initial Results. - Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev:
Bayesian Volumetric Autoregressive generative models for better semisupervised learning. - José G. M. Esgario, Renato A. Krohling, Jose A. Ventura:
Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress. - Nghia Doan, Seyyed Ali Hashemi, Furkan Ercan, Thibaud Tonnellier, Warren J. Gross:
Neural Dynamic Successive Cancellation Flip Decoding of Polar Codes. - Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik:
Cooperative image captioning. - Anna Nguyen, Tobias Weller, York Sure-Vetter:
Making Neural Networks FAIR. - Kitti Gelle, Szabolcs Iván:
The order type of scattered context-free orderings of rank one is computable. - Phu Lai, Qiang He, Guangming Cui, Xiaoyu Xia, Mohamed Abdelrazek, Feifei Chen, John G. Hosking, John C. Grundy, Yun Yang:
Edge User Allocation with Dynamic Quality of Service. - Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. - Philip R. Doyle, Justin Edwards, Odile Dumbleton, Leigh Clark, Benjamin R. Cowan:
Mapping Perceptions of Humanness in Speech-Based Intelligent Personal Assistant Interaction. - Mehmet Fatih Aktas, Emina Soljanin:
Anonymity Mixes as (Partial) Assembly Queues: Modeling and Analysis. - Alihan Hüyük, Cem Tekin:
Lexicographic Multiarmed Bandit. - Ido Hakimi, Saar Barkai, Moshe Gabel, Assaf Schuster:
Taming Momentum in a Distributed Asynchronous Environment. - Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Exploiting weak ties in trust-based recommender systems using regular equivalence. - Arif Ahmed, HamidReza Arkian, Davaadorj Battulga, Ali J. Fahs, Mozhdeh Farhadi, Dimitrios Giouroukis, Adrien Gougeon, Felipe Oliveira Gutierrez, Guillaume Pierre, Paulo R. Souza Jr., Mulugeta Ayalew Tamiru, Li Wu:
Fog Computing Applications: Taxonomy and Requirements. - Chulwook Park:
Network and Agent Dynamics with Evolving Protection against Systemic Risk. - Mirco A. Mannucci, Deborah Tylor:
Node Alertness-Detecting changes in rapidly evolving graphs. - Hansi Zhang, Christopher Wheldon, Adam G. Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia Prosperi, Yi Guo, Jiang Bian:
Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States. - Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe:
Learning policies for Social network discovery with Reinforcement learning. - Shuosen Guan, Haoxin Li, Wei-Shi Zheng:
Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM. - Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander:
Multi-Stage Prediction Networks for Data Harmonization. - Sizhuo Ma, Brandon M. Smith, Mohit Gupta:
Differential Scene Flow from Light Field Gradients. - Michael Hauser:
Training capsules as a routing-weighted product of expert neurons. - Roger K. Moore, Lucy Skidmore:
On the Use/Misuse of the Term 'Phoneme'. - Michael Hauser:
Training products of expert capsules with mixing by dynamic routing. - Roger K. Moore:
Vocal Interactivity in Crowds, Flocks and Swarms: Implications for Voice User Interfaces. - Alain Couvreur, Isabella Panaccione:
Power Error Locating Pairs. - Panagiotis Lionakis, Giacomo Ortali, Ioannis G. Tollis:
Adventures in Abstraction: Reachability in Hierarchical Drawings. - Samuel C. Gutekunst, David P. Williamson:
Subtour Elimination Constraints Imply a Matrix-Tree Theorem SDP Constraint for the TSP. - David Zeng, Alexandros Psomas:
Fairness-Efficiency Tradeoffs in Dynamic Fair Division. - Hernan Haimovich, José Luis Mancilla-Aguilar, Paula Cardone:
A characterization of strong iISS for time-varying impulsive systems. - Yongmin Hu, Hailong Yang, Zhongzhi Luan, Depei Qian:
Massively Scaling Seismic Processing on Sunway TaihuLight Supercomputer. - Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin:
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method. - Dmitriy Kunisky, Afonso S. Bandeira:
A Tight Degree 4 Sum-of-Squares Lower Bound for the Sherrington-Kirkpatrick Hamiltonian. - Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov:
RoBERTa: A Robustly Optimized BERT Pretraining Approach. - Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Action Guidance with MCTS for Deep Reinforcement Learning. - Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian:
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning. - Luong Trung Nguyen, Junhan Kim, Byonghyo Shim:
Low-Rank Matrix Completion: A Contemporary Survey. - Seemanta Saha, Ismet Burak Kadron, William Eiers, Lucas Bang, Tevfik Bultan:
Attack Synthesis for Strings using Meta-Heuristics. - Muhammad Bilal, Sangheon Pack:
Secure Distribution of Protected Content in Information-Centric Networking. - Tong Fu, Raphaëlle Chaine, Julie Digne:
FAKIR : An algorithm for estimating the pose and elementary anatomy of archaeological statues. - Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta:
Environment Probing Interaction Policies. - Belén Saldías F., Rosalind W. Picard:
Tweet Moodifier: Towards giving emotional awareness to Twitter users. - Doris Jung Lin Lee, Jaewoo Kim, Renxuan Wang, Aditya G. Parameswaran:
SCATTERSEARCH: Visual Querying of Scatterplot Visualizations. - Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff:
Tell Me What to Track. - Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
von Neumann-Morgenstern and Savage Theorems for Causal Decision Making. - Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu:
Deep Reinforcement Learning for Personalized Search Story Recommendation. - Francesco Cannizzaro, Bartolomeo Pantò, Salvatore Caddemi, Ivo Caliò:
A Discrete Macro-Element Method (DMEM) for the nonlinear structural assessment of masonry arches. - Soumya Dutta, Ayan Biswas, James P. Ahrens:
Multivariate Pointwise Information-Driven Data Sampling and Visualization. - Henrietta Baker, Matthew R. Hallowell, Antoine J.-P. Tixier:
Automatically Learning Construction Injury Precursors from Text. - Noriyuki Kojima, Jia Deng:
To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments. - Abe C. Ellison, Bengt Fornberg:
A parallel-in-time approach for wave-type PDEs. - Baihong Jin, Yingshui Tan, Alexander J. Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto L. Sangiovanni-Vincentelli:
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. - Matej Martinc, Senja Pollak, Marko Robnik-Sikonja:
Supervised and unsupervised neural approaches to text readability. - Kaiwen Wu, Yaoliang Yu:
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin. - Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman. - Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
Learning Task Specifications from Demonstrations via the Principle of Maximum Causal Entropy. - Rahmadi Trimananda, Janus Varmarken, Athina Markopoulou, Brian Demsky:
PingPong: Packet-Level Signatures for Smart Home Device Events. - Omid Jafari, John Ossorgin, Parth Nagarkar:
qwLSH: Cache-conscious Indexing for Processing Similarity Search Query Workloads in High-Dimensional Spaces. - Harish S. Bhat:
Learning and Interpreting Potentials for Classical Hamiltonian Systems. - Tao Hu, Chengjiang Long, Leheng Zhang, Chunxia Xiao:
VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling. - Hiram H. López, Gretchen L. Matthews, Ivan Soprunov:
Monomial-Cartesian codes and their duals, with applications to LCD codes, quantum codes, and locally recoverable codes. - Ayush Raina, Christopher McComb, Jonathan Cagan:
Learning to design from humans: Imitating human designers through deep learning. - Matthew Middlehurst, William Vickers, Anthony J. Bagnall:
Scalable Dictionary Classifiers for Time Series Classification. - Firas Alomari, Muhammed Harbi:
Scalable Source Code Similarity Detection in Large Code Repositories. - Thiago T. Santos, Leonardo L. de Souza, Andreza A. dos Santos, Sandra Avila:
Grape detection, segmentation and tracking using deep neural networks and three-dimensional association. - Kashyap Chitta, José M. Álvarez, Martial Hebert:
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. - Eric J. Parish, Kevin T. Carlberg:
Time-series machine-learning error models for approximate solutions to parameterized dynamical systems. - Akshay Rangesh, Mohan M. Trivedi:
Forced Spatial Attention for Driver Foot Activity Classification. - Viacheslav Dubeyko:
SSDFS: Towards LFS Flash-Friendly File System without GC operation. - Pengyu Zhao, Ansheng You, Yuanxing Zhang, Jiaying Liu, Kaigui Bian, Yunhai Tong:
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images. - Binghui Chen, Weihong Deng:
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval. - Zhiyi Zhang, Yu Guan, Xinyu Ma, Lixia Zhang:
ActShare: Sensitive Data Sharing with Reliable Leaker Identification. - Haidong Zhu, Jialin Shi, Ji Wu:
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation. - Chaojin Qing, Bin Cai, Qingyao Yang, Jiafan Wang, Chuan Huang:
Deep Learning for CSI Feedback Based on Superimposed Coding. - Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. - Paul Tarau:
Modality Definition Synthesis for Epistemic Intuitionistic Logic via a Theorem Prover. - Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. - Amin Babadi, Kourosh Naderi, Perttu Hämäläinen:
Self-Imitation Learning of Locomotion Movements through Termination Curriculum. - Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière, Cassidy R. Sugimoto, Logan Paul, Chengzhi Zhang:
Analyzing Linguistic Complexity and Scientific Impact. - Hui Yu, Hailiang Liu:
THIRD ORDER MAXIMUM-PRINCIPLE-SATISFYING DG SCHEMES Third Order Maximum-Principle-Satisfying DG schemes for Convection-Diffusion problems with Anisotropic Diffusivity DIFFUSIVITY. - Bo Ji, Tianyi Chen:
Generative Adversarial Network for Handwritten Text. - Hunter Park, Connor Monahan:
Genetic Deep Learning for Lung Cancer Screening. - Li Ma, Weidong Bao, Xiaomin Zhu, Meng Wu, Yuan Wang, Yunxiang Ling, Wen Zhou:
G-flocking: Flocking Model Optimization based on Genetic Framework. - Panchi Li, Changjian Xie, Rui Du, Jingrun Chen, Xiao-Ping Wang:
Two improved Gauss-Seidel projection methods for Landau-Lifshitz-Gilbert equation. - ByungSoo Ko, Minchul Shin, Geonmo Gu, HeeJae Jun, Tae Kwan Lee, Youngjoon Kim:
A Benchmark on Tricks for Large-scale Image Retrieval. - Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang:
Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. - Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. - Wenyuan Ma, Wei Wang, Tao Jiang:
Energy Beamforming for Wireless Information and Power Transfer in Backscatter Multiuser Networks. - Hamideh S. Fazael Ardakani, Sajad Daei, Farzan Haddadi:
A Greedy Algorithm for Matrix Recovery with Subspace Prior Information. - Jianbo Cui, Jialin Hong:
Analysis of a full discretization of stochastic Cahn-Hilliard equation with unbounded noise diffusion. - Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien:
Multi-task Self-Supervised Learning for Human Activity Detection. - Manoj Kumar Lenka, Anubha Pandey, Anurag Mittal:
Blind Deblurring Using GANs. - Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels:
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields. - Trung V. Phan, T. M. Rayhan Gias, Syed Tasnimul Islam, Thu-Huong Truong, Nguyen Huu Thanh, Thomas Bauschert:
Q-MIND: Defeating Stealthy DoS Attacks in SDN with a Machine-learning based Defense Framework. - Teresa Muñoz-Écija, Benjamín Vargas-Quesada, Zaida Chinchilla-Rodríguez:
Coping with the delineation of emerging fields: Nanoscience and Nanotechnology as a case study. - Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Shachar Mirkin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining. - Sabah Al-Fedaghi:
Five Generic Processes for Behavior Description in Software Engineering. - Igor Buzhinsky, Valeriy Vyatkin:
Combining closed-loop test generation and execution by means of model checking. - Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek:
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. - Ahmad Gazar, Gabriele Nava, Francisco Javier Andrade Chavez, Daniele Pucci:
Jerk Control of Floating Base Systems with Contact-Stable Parametrised Force Feedback. - Svanhvít Lilja Ingólfsdóttir, Hrafn Loftsson, Jón Friðrik Daðason, Kristín Bjarnadóttir:
Nefnir: A high accuracy lemmatizer for Icelandic. - Björn Bebensee:
Local Differential Privacy: a tutorial. - Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Mihaela Elena Breaban, Madalina Raschip:
SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP. - Cheng Qian, Amin Emad, Nicholas D. Sidiropoulos:
REP: Predicting the Time-Course of Drug Sensitivity. - Yunfei Liu, Yu Li, Shaodi You, Feng Lu:
Semantic Guided Single Image Reflection Removal. - Ang Li, Xue Yang, Chongyang Zhang:
Rethinking Classification and Localization for Cascade R-CNN. - Allan Borodin, Akash Rakheja:
Electronic markets with multiple submodular buyers. - Seong Hun Lee, Javier Civera:
Triangulation: Why Optimize? - Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao:
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement. - Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo:
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation. - Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits:
Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment. - James Meneghello, Nik Thompson, Kevin Lee, Kok Wai Wong, Bilal Abu-Salih:
Unlocking Analytical Value from Social Media and User Generated Content. - Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok:
Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. - Peter McLaren, William J. Buchanan, Gordon Russell, Zhiyuan Tan:
Deriving ChaCha20 Key Streams From Targeted Memory Analysis. - Guangcong Wang, Jianhuang Lai, Wenqi Liang, Guangrun Wang:
Learnable Parameter Similarity. - Xin Liu, Konstantinos Pelechrinis, Alexandros Labrinidis:
hood2vec: Identifying Similar Urban Areas Using Mobility Networks. - Peter McLaren, William J. Buchanan, Gordon Russell, Zhiyuan Tan:
Discovering Encrypted Bot and Ransomware Payloads Through Memory Inspection Without A Priori Knowledge. - Yusuke Yoshiyasu, Lucas Gamez:
Learning Body Shape and Pose from Dense Correspondences. - Shuyu Gong, Zhewei Wang, Tao Sun, Yuanhang Zhang, Charles D. Smith, Li Xu, Jundong Liu:
Dilated FCN: Listening Longer to Hear Better. - Wenye Li:
Modeling Winner-Take-All Competition in Sparse Binary Projections. - Jason Wells, J. Eric Coulter:
Research Computing at a Business University. - Chengbin Hou, Han Zhang, Ke Tang, Shan He:
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding. - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards Model-based Reinforcement Learning for Industry-near Environments. - Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai:
Blocking Bandits. - Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Attribute-Guided Deep Polarimetric Thermal-to-visible Face Recognition. - Curtis Bright, Ilias S. Kotsireas, Albert Heinle, Vijay Ganesh:
Complex Golay Pairs up to Length 28: A Search via Computer Algebra and Programmatic SAT. - Pengcheng He, Xiaodong Liu, Weizhu Chen, Jianfeng Gao:
A Hybrid Neural Network Model for Commonsense Reasoning. - Tohid Sardarmehni, Xingyong Song:
Sub-optimal Tracking in Switched Systems with Controlled Subsystems and Fixed-mode Sequence using Approximate Dynamic Programming. - Tohid Sardarmehni, Xingyong Song:
Sub-optimal Control of Autonomous Wheel loader with Approximate Dynamic Programming. - Yahya Hassanzadeh-Nazarabadi, Alptekin Küpçü, Öznur Özkasap:
Decentralized utility- and locality-aware replication for heterogeneous DHT-based P2P cloud storage systems. - Bacim Alali, Nathan Albin:
Fourier spectral methods for nonlocal models. - Gloria J. Washington, Rouzbeh A. Shirvani:
Towards Understanding and Modeling Empathy for Use in Motivational Design Thinking. - Zhila Esna Ashari, Hassan Ghasemzadeh:
Mindful Active Learning. - Xavier Francis, Hamid R. Sharifzadeh, Angus Newton, Nilufar Baghaei, Soheil Varastehpour:
Learning Wear Patterns on Footwear Outsoles Using Convolutional Neural Networks. - Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan:
ROAM: Recurrently Optimizing Tracking Model. - Wei Lun Lim, Chiung Ching Ho, Choo-Yee Ting:
Fusing location and text features for sentiment classification. - Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
Representation Degeneration Problem in Training Natural Language Generation Models. - Hou-Biao Li, Hong Li, Ting-Zhu Huang:
A note on Dodgson's determinant condensation algorithm. - Parikshit Saikia, Sushanta Karmakar:
Distributed Approximation Algorithms for Steiner Tree in the CONGESTED CLIQUE. - Thomas Vandal, Ramakrishna R. Nemani:
Optical Flow for Intermediate Frame Interpolation of Multispectral Geostationary Satellite Data. - Takahiro Hirofuchi, Ryousei Takano:
The Preliminary Evaluation of a Hypervisor-based Virtualization Mechanism for Intel Optane DC Persistent Memory Module. - Yong Wang, Daniel Archambault, Hammad Haleem, Torsten Möller, Yanhong Wu, Huamin Qu:
Nonuniform Timeslicing of Dynamic Graphs Based on Visual Complexity. - Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong:
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID. - Pushkar Shukla, Carlos E. L. Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew A. Turk, William Yang Wang:
What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog. - Zongyue Zhao, Min Liu, Karthik Ramani:
DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation. - Satanan Thipworawimon, Somphong Jitman:
Hulls of Linear Codes Revisited with Applications. - Ning Li, Martin J. Shepperd, Yuchen Guo:
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction. - John Augustine, Sumathi Sivasubramaniam:
Spartan: Sparse Robust Addressable Networks. - Yu Leng, Xiaochuan Tian, Nathaniel Trask, John T. Foster:
Asymptotically compatible reproducing kernel collocation and meshfree integration for nonlocal diffusion. - Gabriele Fici, Pawel Gawrychowski:
Minimal Absent Words in Rooted and Unrooted Trees. - Linfu Yang, Bin Liu:
Temporal Data Fusion at the Edge. - Francis Engelmann, Theodora Kontogianni, Bastian Leibe:
Dilated Point Convolutions: On the Receptive Field of Point Convolutions. - Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira:
A difficulty ranking approach to personalization in E-learning. - Xavier Holt:
Probabilistic Models of Relational Implication. - Hadi Sehat, Peyman Pahlevani:
On the Probability of Partial Decoding in Sparse Network Coding. - Peng Yang, Feng Liu, Zhaojian Wang, Shicong Ma:
Towards Distributed Stability Analytics of Dynamic Power Systems: A Phasor-Circuit Theory Perspective. - Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, Yuanyuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li:
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images. - Gregory Z. Gutin, Diptapriyo Majumdar, Sebastian Ordyniak, Magnus Wahlström:
Parameterized Pre-coloring Extension and List Coloring Problems. - Marcin Pikus, Wen Xu, Gerhard Kramer:
Finite-Precision Implementation of Arithmetic Coding Based Distribution Matchers. - Feng Shu, Lingling Zhu, Wenlong Cai, Tong Shen, Jinyong Lin, Shuo Zhang, Jiangzhou Wang:
Two Efficient Beamformers for Secure Precise Jamming and Communication with Phase Alignment. - Zheming Wang, Raphaël M. Jungers:
Data-driven computation of invariant sets of discrete time-invariant black-box systems. - Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park:
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling. - Boris Kramer, Karen E. Willcox:
Balanced Truncation Model Reduction for Lifted Nonlinear Systems. - Xiaogang Liu:
Necessities and sufficiencies of a class of permutation polynomials over finite fields. - Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. - Yasushi Ota, Naoki Mizutani:
Estimating Parameters in Mathematical Model for Societal Booms through Bayesian Inference Approach. - He Fang, Angie Qi, Xianbin Wang:
Fast Authentication and Progressive Authorization in Large-Scale IoT: How to Leverage AI for Security Enhancement? - Xi Chen, Tim Randolph, Rocco A. Servedio, Timothy Sun:
A Lower Bound on Cycle-Finding in Sparse Digraphs. - Zhaojiang Lin, Peng Xu, Genta Indra Winata, Zihan Liu, Pascale Fung:
CAiRE: An End-to-End Empathetic Chatbot. - Alessandro Malaguti, Marco Carraro, Mattia Guidolin, Luca Tagliapietra, Emanuele Menegatti, Stefano Ghidoni:
Real-time Tracking-by-Detection of Human Motion in RGB-D Camera Networks. - Xiao Yang, Daren Sun, Ruiwei Zhu, Tao Deng, Zhi Guo, Jiao Ding, Shouke Qin, Zongyao Ding, Yanfeng Zhu:
AiAds: Automated and Intelligent Advertising System for Sponsored Search. - Robert Cummings, Matthew Fahrbach, Animesh Fatehpuria:
A Fast Minimum Degree Algorithm and Matching Lower Bound. - Elad Richardson, Yaniv Azar, Or Avioz, Niv Geron, Tomer Ronen, Zach Avraham, Stav Shapiro:
It's All About The Scale - Efficient Text Detection Using Adaptive Scaling. - Patrick Rodler:
Towards Optimizing Reiter's HS-Tree for Sequential Diagnosis. - Cheng Zhang, Wei-Lun Chao, Dong Xuan:
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering. - Hossein Hosseini, Sreeram Kannan, Radha Poovendran:
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples. - Amelia Harrison, Vladimir Lifschitz:
Relating Two Dialects of Answer Set Programming. - Song Wang, Nachi Nagappan:
Characterizing and Understanding Software Developer Networks in Security Development. - Ashwija Reddy Korenda, Fatemeh Afghah, Bertrand Cambou, Christopher Robert Philabaum:
A Proof of Concept SRAM-based Physically Unclonable Function (PUF) Key Generation Mechanism for IoT Devices. - Shideh Homayon, Mahdi Salarian:
Iris Recognition for Personal Identification using LAMSTAR neural network. - Tessina H. Scholl, Veit Hagenmeyer, Lutz Gröll:
On Norm-Based Estimations for Domains of Attraction in Nonlinear Time Delay Systems. - Ali Mashreghi, Valerie King:
Faster asynchronous MST and low diameter tree construction with sublinear communication. - Oliver Kullmann, Ankit Shukla:
Introducing Autarkies for DQCNF. - Jan Kretínský, Alexander Manta, Tobias Meggendorfer:
Semantic Labelling and Learning for Parity Game Solving in LTL Synthesis. - Petr Marek:
Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy. - Hugh L. Kennedy:
On the Realization and Analysis of Circular Harmonic Transforms for Feature Detection. - Amal Gunatilake, Lasitha Piyathilaka, Sarath Kodagoda, Stephen Barclay, Dammika Vitanage:
Real-Time 3D Profiling with RGB-D Mapping in Pipelines Using Stereo Camera Vision and Structured IR Laser Ring. - Ramin Ramazi, Christine Perndorfer, Emily Soriano, Jean-Philippe Laurenceau, Rahmatollah Beheshti:
Multi-modal Predictive Models of Diabetes Progression. - Jun Xiang, Chao Ma, Guohan Xu, Jianhua Hou:
End-to-End Learning Deep CRF models for Multi-Object Tracking. - Zhenlong Li:
Geospatial Big Data Handling with High Performance Computing: Current Approaches and Future Directions. - Zhiliang Deng, Xiaomei Yang:
An ensemble Kalman filter approach based on level set parameterization for acoustic source identification using multiple frequency information. - (Withdrawn) Hand-Gesture-Recognition Based Text Input Method for AR/VR Wearable Devices.
- Raman Arora, Teodor V. Marinov, Mehryar Mohri:
Bandits with Feedback Graphs and Switching Costs. - Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li:
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition. - Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein:
Seeing Things in Random-Dot Videos. - Dong Sun, Renfei Huang, Yuanzhe Chen, Yong Wang, Jia Zeng, Mingxuan Yuan, Ting-Chuen Pong, Huamin Qu:
PlanningVis: A Visual Analytics Approach to Production Planning in Smart Factories. - Tansu Alpcan:
A Template and Suggestions for Writing Easy-to-Read Research Articles. - Shashank Rajput, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos:
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation. - Wei Yin, Yifan Liu, Chunhua Shen, Youliang Yan:
Enforcing geometric constraints of virtual normal for depth prediction. - Matthew Kelly, Christoph Treude, Alex Murray:
A Case Study on Automated Fuzz Target Generation for Large Codebases. - Bulla Rajesh, Mohammed Javed, P. Nagabhushan:
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images. - Simon Dyson, William J. Buchanan, Liam Bell:
The Challenges of Investigating Cryptocurrencies and Blockchain Related Crime. - Haisheng Su, Xu Zhao, Shuming Liu:
Multi-Granularity Fusion Network for Proposal and Activity Localization: Submission to ActivityNet Challenge 2019 Task 1 and Task 2. - Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala:
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. - Sina Niedermaier, Falko Koetter, Andreas Freymann, Stefan Wagner:
On Observability and Monitoring of Distributed Systems: An Industry Interview Study. - Carlos Segarra, Enric Muntané Calvo, Mathieu Lemay, Valerio Schiavoni, Ricard Delgado-Gonzalo:
Secure Stream Processing for Medical Data. - Rongzhao Zhang, Albert C. S. Chung:
A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation. - Chen He, Kan Ming, Yongwei Wang, Z. Jane Wang:
A Deep Learning Based Attack for The Chaos-based Image Encryption. - Minyoung Chung, Jingyu Lee, Wisoo Song, Youngchan Song, Il-Hyung Yang, Jeongjin Lee, Yeong-Gil Shin:
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities. - Chuhang Zou, Derek Hoiem:
Silhouette Guided Point Cloud Reconstruction beyond Occlusion. - Jingbo Du, Wei Xu, Chunming Zhao, Luc Vandendorpe:
Weighted Spectral Efficiency Optimization for Hybrid Beamforming in Multiuser Massive MIMO-OFDM Systems. - Xianyang Li:
AirFace: Lightweight and Efficient Model for Face Recognition. - Konstantinos Chrysafinos, Emmanuil H. Georgoulis, Dimitra Plaka:
A posteriori error estimates for the Allen-Cahn problem. - Jian Ma:
Discovering Association with Copula Entropy. - Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. - Lang Huang, Yuhui Yuan, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang:
Interlaced Sparse Self-Attention for Semantic Segmentation. - Wouter Klijn, Sandra Diaz-Pier, Abigail Morrison, Alexander Peyser:
Staged deployment of interactive multi-application HPC workflows. - Clément Charpentier, Hervé Hocquard, Éric Sopena, Xuding Zhu:
A Connected Version of the Graph Coloring Game. - Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion. - György Görög, Peter Weisz:
Legal entity recognition in an agglutinating language and document connection network for EU Legislation and EU/Hungarian Case Law. - Tong Shen, Dong Gong, Wei Zhang, Chunhua Shen, Tao Mei:
Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation. - Laura Thesing, Anders Christian Hansen:
Linear reconstructions and the analysis of the stable sampling rate. - Markus Bläser, Christian Engels:
Parameterized Valiant's Classes. - Simone Romano, Davide Fucci, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Scanniello:
An Empirical Assessment on Affective Reactions of Novice Developers when Applying Test-Driven Development. - Weinan E, Yajun Zhou:
A Mathematical Model for Linguistic Universals. - Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Andrea Sodi:
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation. - Victor Bouvier, Philippe Very, Céline Hudelot, Clément Chastagnol:
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation. - José Mario Mastrangelo, Dominik Baumann, Sebastian Trimpe:
Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems. - Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne:
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation. - Giovanni Migliorati:
Multivariate approximation of functions on irregular domains by weighted least-squares methods. - Victor Bouvier, Philippe Very, Céline Hudelot, Clément Chastagnol:
Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets. - Philipp Gorczak, Caner Bektas, Fabian Kurtz, Thomas Lübcke, Christian Wietfeld:
Robust Cellular Communications for Unmanned Aerial Vehicles in Maritime Search and Rescue. - Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos:
Hierarchical Multi-Label Dialog Act Recognition on Spanish Data. - Hans van Ditmarsch, Malvin Gattinger, Louwe B. Kuijer, Pere Pardo:
Strengthening Gossip Protocols using Protocol-Dependent Knowledge. - Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Cemil Cem Gürsoy, Jaan Raik:
Mixed-level identification of fault redundancy in microprocessors. - Pieterjan Robbe, Dirk Nuyens, Stefan Vandewalle:
Enhanced Multi-Index Monte Carlo by means of Multiple Semi-Coarsened Multigrid for Anisotropic Diffusion Problems. - Robert Ganian, Sebastian Ordyniak, Stefan Szeider:
A Join-Based Hybrid Parameter for Constraint Satisfaction. - Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Goal-Driven Sequential Data Abstraction. - Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou:
Bandit Convex Optimization in Non-stationary Environments. - Xuelong Li, Hongli Li, Yongsheng Dong:
Meta Learning for Task-Driven Video Summarization. - Jacopo Pantaleoni:
Blue-Noise Dithered QMC Hierarchical Russian Roulette. - Thomas Eiter, Paul Ogris, Konstantin Schekotihin:
A Distributed Approach to LARS Stream Reasoning (System paper). - Jesús J. Doménech, John P. Gallagher, Samir Genaim:
Control-Flow Refinement by Partial Evaluation, and its Application to Termination and Cost Analysis. - Tianhan Wei, Xiang Li, Yau Pun Chen, Yu-Wing Tai, Chi-Keung Tang:
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation. - Matteo Ravasi, Ivan Vasconcelos:
PyLops - A Linear-Operator Python Library for large scale optimization. - Sarkis Halladjian, Haichao Miao, David Kouril, M. Eduard Gröller, Ivan Viola, Tobias Isenberg:
ScaleTrotter: Illustrative Visual Travels Across Negative Scales. - Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu:
Recursive Cascaded Networks for Unsupervised Medical Image Registration. - Muhammad Nouman Rafi, Muhammad Muaaz:
Performance Evaluation of the LoRa Protocol in the context of Smart Meter. - D. Antonogiorgakis, Alexandros Britzolakis, Panagiotis Chatziadam, Aftantil Dimitriadis, Stefanos Gikas, Emmanouil Michalodimitrakis, M. Oikonomakis, Nikolaos Siganos, Eleytherios Tzagkarakis, Yannis Nikoloudakis, Spyridon Panagiotakis, Evangelos Pallis, Evangelos K. Markakis:
A View on Edge caching Applications. - Giuseppe Bianchi, Francesca Cuomo, Domenico Garlisi, Ilenia Tinnirello:
Sequential Waterfilling for Adaptive Data Rate allocation in LoraWAN. - Louis Marceau, Lingling Qiu, Nick Vandewiele, Eric Charton:
A comparison of Deep Learning performances with others machine learning algorithms on credit scoring unbalanced data. - Martin Striegel, Carsten Rolfes, Johann Heyszl, Fabian Helfert, Maximilian Hornung, Georg Sigl:
EyeSec: A Retrofittable Augmented Reality Tool for Troubleshooting Wireless Sensor Networks in the Field. - Vikas Kumar:
Collaborative Filtering and Multi-Label Classification with Matrix Factorization. - Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp:
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. - Armaan Kaur, Jaspal Kaur Saini, Divya Bansal:
Detecting Radical Text over Online Media using Deep Learning. - Shivam Saxena, Hany Essa Zidan Farag, Aidan Brookson, Hjalmar K. Turesson, Henry M. Kim:
Design and Field Implementation of Blockchain Based Renewable Energy Trading in Residential Communities. - Murium Iqbal, Nishan Subedi, Kamelia Aryafar:
Production Ranking Systems: A Review. - Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang:
Topic Modeling with Wasserstein Autoencoders. - Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu:
Personalized Attraction Enhanced Sponsored Search with Multi-task Learning. - Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiaofei He:
IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation. - Tim Schmeier, Sam Garrett, Joseph Chisari, Brett Vintch:
Music Recommendations in Hyperbolic Space: An Application of Empirical Bayes and Hierarchical Poincaré Embeddings. - Mengshu Liu, Jingya Wang, Kareem Abdelfatah, Mohammed Korayem:
Tripartite Vector Representations for Better Job Recommendation. - Paula Fermín Cueto, Meeke Roet, Agnieszka Slowik:
Completing partial recipes using item-based collaborative filtering to recommend ingredients. - Michael Fröwis, Rainer Böhme:
The Operational Cost of Ethereum Airdrops. - Olivier Jeunen, David Rohde, Flavian Vasile:
On the Value of Bandit Feedback for Offline Recommender System Evaluation. - Xiao Li, Chenghua Lin, Chaozheng Wang, Frank Guerin:
Latent Space Factorisation and Manipulation via Matrix Subspace Projection. - P. Murali Doraiswamy, Charlotte Blease, Kaylee Bodner:
Artificial Intelligence and the Future of Psychiatry: Insights from a Global Physician Survey. - Murium Iqbal, Kamelia Aryafar, Timothy Anderton:
Style Conditioned Recommendations. - Felix Leibfried, Sergio Pascual-Diaz, Jordi Grau-Moya:
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment. - Laurent Chuat, Sarah Plocher, Adrian Perrig:
Zero-Knowledge User Authentication: An Old Idea Whose Time Has Come. - Akinori F. Ebihara, Kazuyuki Sakurai, Hitoshi Imaoka:
Specular- and Diffuse-reflection-based Face Liveness Detection for Mobile Devices. - Yuriy Zacchia Lun, Alessandro D'Innocenzo:
Stabilizability of Markov jump linear systems modeling wireless networked control scenarios (extended version). - Michaela Regneri, Julia S. Georgi, Jurij Kost, Niklas Pietsch, Sabine Stamm:
Computing the Value of Data: Towards Applied Data Minimalism. - Yazan Mohamad, Majd Makdessi, Omar Raad, Issam W. Damaj:
SysMART Outdoor Services: A System of Connected and Smart Supermarkets. - Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras:
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. - Tianyi Wu, Sheng Tang, Rui Zhang, Guodong Guo, Yongdong Zhang:
Consensus Feature Network for Scene Parsing. - Yu Sun, Shuohuan Wang, Yu-Kun Li, Shikun Feng, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding. - Fabian Sperrle, Rita Sevastjanova, Rebecca Kehlbeck, Mennatallah El-Assady:
VIANA: Visual Interactive Annotation of Argumentation. - Nantia Makrynioti, Ruy Ley-Wild, Vasilis Vassalos:
sql4ml A declarative end-to-end workflow for machine learning. - Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. - Amy Tabb, Khalil M. Ahmad Yousef:
Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods. - Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai:
Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting. - Alexander V. Terekhov, J. Kevin O'Regan:
Learning abstract perceptual notions: the example of space. - Zhipeng Yang, Xinping Gui, Ju Ming, Guanghui Hu:
Bayesian Approach to Inverse Acoustic Scattering from Disks and Line Cracks with Phaseless Data. - Steven J. Frank, Andrea M. Frank:
Salient Slices: Improved Neural Network Training and Performance with Image Entropy. - Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar:
A Baseline Neural Machine Translation System for Indian Languages. - Per Kristian Lehre, Phan Trung Hai Nguyen:
On the Limitations of the Univariate Marginal Distribution Algorithm to Deception and Where Bivariate EDAs might help. - Hanbo Zhang, Site Bai, Xuguang Lan, Nanning Zheng:
Hindsight Trust Region Policy Optimization. - Hsin-Hao Su, Hoa T. Vu:
Distributed Dense Subgraph Detection and Low Outdegree Orientation. - Patrick Knöbelreiter, Christoph Vogel, Thomas Pock:
Self-Supervised Learning for Stereo Reconstruction on Aerial Images. - Zhipeng Xu, Xiaolong Huang, Yuefan Deng:
Enumeration of regular graphs by using the cluster in high efficiency. - Daniele Sora, Massimo Mecella, Francesco Leotta, Giuseppe Bracone, Daniele Buonanno, Mario Caruso, Adriano Cerocchi, Mariano Leva:
Micro-accounting for optimizing and saving energy in smart buildings. - Sascha Rothe, Shashi Narayan, Aliaksei Severyn:
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. - Haoran Wei, Wang Bing, Zhang Yue:
X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments. - Kai Yang, Yuanming Shi, Wei Yu, Zhi Ding:
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference. - Robert Tjarko Lange, Aldo Faisal:
Action Grammars: A Cognitive Model for Learning Temporal Abstractions. - Julia Kreutzer, Jasmijn Bastings, Stefan Riezler:
Joey NMT: A Minimalist NMT Toolkit for Novices. - Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Benefiting from Multitask Learning to Improve Single Image Super-Resolution. - Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
FDive: Learning Relevance Models using Pattern-based Similarity Measures. - Rong-Cheng Tu, Xianling Mao, Bing Ma, Yong Hu, Tan Yan, Wei Wei, Heyan Huang:
Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning. - Alessio Fiorentino, Nicola Leone, Marco Manna, Simona Perri, Jessica Zangari:
Precomputing Datalog evaluation plans in large-scale scenarios. - Duin Baek, Jing Chen, Bong Jun Choi:
Small Profits and Quick Returns: An Incentive Mechanism Design for IoT-based Crowdsourcing under Continuous Platform Competition. - Matti Berthold, Ricardo Gonçalves, Matthias Knorr, João Leite:
A Syntactic Operator for Forgetting that Satisfies Strong Persistence. - Pedro F. Moraes, Joberto S. B. Martins:
A Pub/Sub SDN-Integrated Framework for IoT Traffic Orchestration. - Lu Wang, Dongxiao Zhu:
Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches. - Andrea Borio, Alessio Fumagalli, Stefano Scialò:
Analysis of conforming, non-matching, and polygonal methods for Darcy and advection-diffusion-reaction simulations in discrete fracture networks. - Juntao Yu, Bernd Bohnet, Massimo Poesio:
Neural Mention Detection. - Alireza Shamsoshoara, Ashwija Korenda, Fatemeh Afghah, Sherali Zeadally:
A Survey on Hardware-based Security Mechanisms for Internet of Things. - (Withdrawn) Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism.
- Daniel Canaday, Noeloikeau F. Charlot, Andrew Pomerance, Daniel J. Gauthier:
Transient Response of Hybrid Boolean Networks as Physical Unclonable Functions. - Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang:
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks. - Wuchen Li:
Diffusion Hypercontractivity via Generalized Density Manifold. - Wei Yan:
Augmented Reality Applied to LEGO Construction: AR-based Building Instructions with High Accuracy & Precision and Realistic Object-Hand Occlusions. - Laura Jennings, Christopher M. Danforth, Peter Sheridan Dodds, Elizabeth Pinel, Lizzy Pope:
Exploring Perceptions of Veganism. - M. E. J. Newman, George T. Cantwell, Jean-Gabriel Young:
Improved mutual information measure for classification and community detection. - Fande Kong:
A parallel monolithic multilevel Schwarz preconditioner for the neutron transport criticality calculations with a nonlinear diffusion acceleration method. - Zhicheng Cui, Bradley A. Fritz, Christopher Ryan King, Michael S. Avidan, Yixin Chen:
A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room. - Victor M. Calo, Alexandre Ern, Ignacio Muga, Sergio Rojas:
An adaptive stabilized finite element method based on residual minimization. - (Withdrawn) Deep Gradient Boosting.
- Padraig Boulton, Peter Hall:
Artistic Domain Generalisation Methods are Limited by their Deep Representations. - Ariel Futoransky, Carlos Sarraute, Ariel Waissbein, Daniel Fernandez, Matias Travizano, Martin Minnoni:
Secure Exchange of Digital Goods in a Decentralized Data Marketplace. - Andreas Pels, Ruth V. Sabariego, Sebastian Schöps:
Efficient simulation of DC-AC power converters using Multirate Partial Differential Equations. - Anjul Kumar Tyagi, Zhen Cao, Tyler Estro, Erez Zadok, Klaus Mueller:
ICE: An Interactive Configuration Explorer for High Dimensional Categorical Parameter Spaces. - Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen:
MoBiNet: A Mobile Binary Network for Image Classification. - Ayush Kumar, Anjul Kumar Tyagi, Michael Burch, Daniel Weiskopf, Klaus Mueller:
Task Classification Model for Visual Fixation, Exploration, and Search. - Grzegorz Wiaderek, Iwona Skalna:
Generating theorem proving procedures from axioms of Truncated Predicate Calculus. - Sivaranjani S., Etika Agarwal, Vijay Gupta:
Data-driven identification of dissipative linear models for nonlinear systems. - Ukcheol Shin, Jinsun Park, Gyumin Shim, François Rameau, In So Kweon:
Camera Exposure Control for Robust Robot Vision with Noise-Aware Image Quality Assessment. - Arpan Man Sainju, Zhe Jiang:
Mapping road safety features from streetview imagery: A deep learning approach. - Pavel Surynek, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding with Capacity Constraints. - Michalis Pachilakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
No More Chasing Waterfalls: A Measurement Study of the Header Bidding Ad-Ecosystem. - Andrew Daw, Robert C. Hampshire, Jamol Pender:
Beyond Safety Drivers: Staffing a Teleoperations System for Autonomous Vehicles. - Qizhi He, Jiun-Shyan Chen:
A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database. - Andrea Papenmeier, Gwenn Englebienne, Christin Seifert:
How model accuracy and explanation fidelity influence user trust. - Timo Koch, Rainer Helmig, Martin Schneider:
A new and consistent well model for one-phase flow in anisotropic porous media using a distributed source model. - Qiao Kang, Sunwoo Lee, Kaiyuan Hou, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving MPI Collective I/O Performance With Intra-node Request Aggregation. - Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. - Aditeya Pandey, Harsh Shukla, Geoffrey S. Young, Lei Qin, Amir A. Zamani, Liangge Hsu, Raymond Huang, Cody Dunne, Michelle A. Borkin:
CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Arteries Network Visualization. - Ivana Kvapilíková, Dominik Machácek, Ondrej Bojar:
CUNI Systems for the Unsupervised News Translation Task in WMT 2019. - Pouya Rezazadeh Kalehbasti, Liubov Nikolenko, Hoormazd Rezaei:
Airbnb Price Prediction Using Machine Learning and Sentiment Analysis. - Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz:
Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance. - Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun:
Reinforced Dynamic Reasoning for Conversational Question Generation. - Keaton Hamm, Longxiu Huang:
Perspectives on CUR Decompositions. - Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
The Challenge of Imputation in Explainable Artificial Intelligence Models. - Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts. - Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi:
Machine Translation Evaluation with BERT Regressor. - Mor Vered, Frank Dignum, Tim Miller:
Let's Make It Personal, A Challenge in Personalizing Medical Inter-Human Communication. - Byunghyun Ban, Soobin Kim:
Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning. - Feng Wei, Uyen Trang Nguyen, Hui Jiang:
Dual-FOFE-net Neural Models for Entity Linking with PageRank. - Antonio M. Mora, Anna Isabel Esparcia-Alcázar:
EVO* 2019 - Late-Breaking Abstracts Volume. - Jiayin Xie, Chenghao Bi, David J. Cappelleri, Nilanjan Chakraborty:
Towards Dynamic Simulation Guided Optimal Design of Tumbling Microrobots. - Ahmed Mourad, Falk Scholer, Walid Magdy, Mark Sanderson:
A Practical Guide for the Effective Evaluation of Twitter User Geolocation. - Abdullo Rakhmonovich Hayotov, Soomin Jeon, Chang-Ock Lee:
On an optimal quadrature formula for approximation of Fourier integrals in the space L2(1). - Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. - Chengjian Sun, Dong Liu, Chenyang Yang:
Model-Free Unsupervised Learning for Optimization Problems with Constraints. - Cristopher Moore:
Lecture Notes on Automata, Languages, and Grammars. - Yu Wang, Min Sheng, Qiang Ye, Shan Zhang, Weihua Zhuang, Jiandong Li:
Optimal Dynamic Multi-Resource Management in Earth Observation Oriented Space Information Networks. - Amritanshu Pandey, Larry T. Pileggi:
Steady-State Simulation for Combined Transmission and Distribution Systems. - Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Confounder-Aware Visualization of ConvNets. - Yossef Musleh, Éric Schost:
Computing the Characteristic Polynomial of a Finite Rank Two Drinfeld Module. - George Christodoulou, Elias Koutsoupias, Annamária Kovács:
On the Nisan-Ronen conjecture for submodular valuations. - B. Prabadevi, N. Jeyanthi, Nur Izura Udzir, Dhinaharan Nagamalai:
Lattice Structural Analysis on Sniffing to Denial of Service Attacks. - Ho-Deok Jang, Sanghyun Woo, Philipp Benz, Jinsun Park, In So Kweon:
Propose-and-Attend Single Shot Detector. - Hamed Vahdat-Nejad, Zahra Mazhar Farimani, Arezoo Tavakolifar:
Social Internet of Things and New Generation Computing - A Survey. - Andrew Jason Shepley:
Deep Learning For Face Recognition: A Critical Analysis. - Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera:
Deep Learning in Video Multi-Object Tracking: A Survey. - Hamid Jan, Amjad Ali, Shahid Mahmood, Gautam Srivastava:
Statistical Descriptors-based Automatic Fingerprint Identification: Machine Learning Approaches. - Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, Jian Zheng:
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. - Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. - Jürgen Geiser, Karsten Bartecki:
Iterative and Non-iterative Splitting approach of a stochastic Burgers' equation. - Minjeong Shin, Alexander Soen, Benjamin T. Readshaw, Stephen M. Blackburn, Mitchell Whitelaw, Lexing Xie:
Influence Flowers of Academic Entities. - Martin Popel, Dominik Machácek, Michal Auersperger, Ondrej Bojar, Pavel Pecina:
English-Czech Systems in WMT19: Document-Level Transformer. - Harshdeep Singh:
Code based Cryptography: Classic McEliece. - Ali Gholami Rudi:
Packing Rotating Segments. - Ralph Holz, Johanna Amann, Abbas Razaghpanah, Narseo Vallina-Rodriguez:
The Era of TLS 1.3: Measuring Deployment and Use with Active and Passive Methods. - Victor Escorcia, Mattia Soldan, Josef Sivic, Bernard Ghanem, Bryan C. Russell:
Temporal Localization of Moments in Video Collections with Natural Language. - Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
PointHop: An Explainable Machine Learning Method for Point Cloud Classification. - Hengkai Guo, Wenji Wang, Guanjun Guo, Huaxia Li, Jiachen Liu, Qian He, Xuefeng Xiao:
An Empirical Study of Propagation-based Methods for Video Object Segmentation. - Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A non-intrusive approach for proper orthogonal decomposition modal coefficients reconstruction through active subspaces. - Jingwen Wang, Jingxin Liu, Juntao Pu, Qinghong Yang, Zhongchen Miao, Jian Gao, You Song:
An alarm prediction framework for financial IT system using hybrid machine learning methods. - Sopan Sarkar, Jianqing Liu, Emil Jovanov:
A Robust Algorithm for Sniffing BLE Long-Lived Connections in Real-time. - Zhenlong Xu, Shuigeng Zhou, Zhanzhan Cheng, Fan Bai, Yi Niu, Shiliang Pu:
Towards Pure End-to-End Learning for Recognizing Multiple Text Sequences from an Image. - Haitao Wang, Zhengqiu He, Jin Ma, Wenliang Chen, Min Zhang:
IPRE: a Dataset for Inter-Personal Relationship Extraction. - David Kadish, Sebastian Risi, Laura Beloff:
An artifcial life approach to studying niche differentiation in soundscape ecology. - Alessandro Berti:
Increasing Scalability of Process Mining using Event Dataframes: How Data Structure Matters. - Johannes Lengler, Xun Zou:
Exponential Slowdown for Larger Populations: The (μ+1)-EA on Monotone Functions. - Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li:
Multi-Kernel Capsule Network for Schizophrenia Identification. - Xinrong Guan, Qingqing Wu, Rui Zhang:
Intelligent Reflecting Surface Assisted Secrecy Communication via Joint Beamforming and Jamming. - Tanja Munz, Michael Burch, Toon van Benthem, Yoeri Poels, Fabian Beck, Daniel Weiskopf:
Overlap-free Drawing of Generalized Pythagoras Trees for Hierarchy Visualization. - Jonathan Bourne, Aidan O'Sullivan, Elsa Arcaute:
Don't go chasing artificial waterfalls: Simulating cascading failures in the power grid and the impact of artificial line-limit methods on results. - Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla:
Orientation-aware Semantic Segmentation on Icosahedron Spheres. - Jongho Im, Taikgun Song, Youngsu Lee, Jewoo Kim:
Confirmatory Aspect-based Opinion Mining Processes. - Waleed A. Yousef:
Prudence When Assuming Normality: an advice for machine learning practitioners. - Steffen Schuldenzucker, Sven Seuken:
Monotonic and Non-Monotonic Solution Concepts for Generalized Circuits. - Dariusz R. Kowalski, Piotr Krysta:
Deterministic coloring algorithms in the LOCAL model. - Onur Tasar, S. L. Happy, Yuliya Tarabalka, Pierre Alliez:
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks. - Konstantinos Solomos, Panagiotis Ilia, Sotiris Ioannidis, Nicolas Kourtellis:
Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem. - Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta, Pranav Maneriker, Prann Bansal, Ajay Joshi:
LEAF-QA: Locate, Encode & Attend for Figure Question Answering. - Pau Panareda Busto, Ahsan Iqbal, Jürgen Gall:
Open Set Domain Adaptation for Image and Action Recognition. - Lars Schmarje, Claudius Zelenka, Ulf Geisen, Claus C. Glüer, Reinhard Koch:
2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy. - Boris I. Krasnopolsky:
Revisiting Performance of BiCGStab Methods for Solving Systems with Multiple Right-Hand Sides. - Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin, Emmanuel Morin:
Deep Retrieval-Based Dialogue Systems: A Short Review. - Nicolas S. Holliman, Arzu Çöltekin, Sara Johansson Fernstad, Michael D. Simpson, Kevin J. Wilson, Andrew J. Woods:
Visual Entropy and the Visualization of Uncertainty. - Murathan Kurfali, Robert Östling:
Zero-shot transfer for implicit discourse relation classification. - Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, Ingmar Posner:
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning. - Tzu-Han Hsu, Ching-Hsuan Chen, Nyan Ping Ju, Tsi-Ui Ik, Wen-Chih Peng, Chih-Chuan Wang, Yu-Shuen Wang, Yuan-Hsiang Lin, Yu-Chee Tseng, Jiun-Long Huang, Yu-Tai Ching:
CoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis. - Olivier Rukundo:
4X4 Census Transform. - Françis Brochu:
Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods. - Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. - Marcely Zanon Boito, William N. Havard, Mahault Garnerin, Éric Le Ferrand, Laurent Besacier:
MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible. - Irynei Baran, Orest Kupyn, Arseny Kravchenko:
Safe Augmentation: Learning Task-Specific Transformations from Data. - Ling Jiang, Yang Hu, Xilin Xia, Qiuhua Liang, Andrea Soltoggio:
A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs. - Yingwei Zhou:
Slot Based Image Augmentation System for Object Detection. - Yuting Cao, Hao Zheng, Sandip Ray:
A Communication-Centric Observability Selection for Post-Silicon System-on-Chip Integration Debug. - Nour Soufi, Matias Valdenegro-Toro:
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition. - Wanjie Sun, Zhenzhong Chen:
Learned Image Downscaling for Upscaling using Content Adaptive Resampler. - Xiangxi Shi, Jianfei Cai, Shafiq R. Joty, Jiuxiang Gu:
Watch It Twice: Video Captioning with a Refocused Video Encoder. - Silvia Chiappa, Ulrich Paquet:
Unsupervised Separation of Dynamics from Pixels. - Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis, Lukás Burget, Jan Honza Cernocký:
Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge. - Ata Atay, Pedro Calleja, Sergio Soteras:
Open shop scheduling games. - Mason Swofford, John Charles Peruzzi, Marynel Vázquez, Roberto Martín-Martín, Silvio Savarese:
DANTE: Deep Affinity Network for Clustering Conversational Interactants. - Hossein Rastgoftar, Jean-Baptiste Jeannin, Ella M. Atkins:
Formal Specification of Continuum Deformation Coordination. - Farid Ghareh Mohammadi, Hamid R. Arabnia:
ISEA: Image Steganalysis using Evolutionary Algorithms. - Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein:
Reg R-CNN: Lesion Detection and Grading under Noisy Labels. - Subrata Mitra, Shanka Subhra Mondal, Nikhil Sheoran, Neeraj Dhake, Ravinder Nehra, Ramanuja Simha:
DeepPlace: Learning to Place Applications in Multi-Tenant Clusters. - Vinay Uday Prabhu, Dian Ang Yap, Alexander Wang, John Whaley:
Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance. - Haipeng Zeng, Xingbo Wang, Aoyu Wu, Yong Wang, Quan Li, Alex Endert, Huamin Qu:
EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos. - João Antunes, Pedro Abreu, Alexandre Bernardino, Asim Smailagic, Daniel P. Siewiorek:
Attention Filtering for Multi-person Spatiotemporal Action Detection on Deep Two-Stream CNN Architectures. - Axel Sauer, Elie Aljalbout, Sami Haddadin:
Tracking Holistic Object Representations. - K. Kavitha, B. Thirumala Rao:
Evaluation of Distance Measures for Feature based Image Registration using AlexNet. - S. Hamidreza Kasaei:
Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition. - Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eunheui Kim:
Deep Neural Network Approach to Forward-Inverse Problems. - Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris:
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. - Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening. - Junyu Wang, Rong Song:
Improved Super-Resolution Convolution Neural Network for Large Images. - Li Ding, Lex Fridman:
Object as Distribution. - Md. Vasimuddin, Sanchit Misra, Heng Li, Srinivas Aluru:
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems. - Luiz H. Sena, Iury Valente de Bessa, Mikhail Y. R. Gadelha, Lucas C. Cordeiro, Edjard Mota:
Incremental Bounded Model Checking of Artificial Neural Networks in CUDA. - Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. - Davit Soselia, Shota Amashukeli, Irakli Koberidze, Levan Shugliashvili:
RNN-based Online Handwritten Character Recognition Using Accelerometer and Gyroscope Data. - Hiroki Oshima:
Improved randomized algorithm for k-submodular function maximization. - Saugata Ghose, Amirali Boroumand, Jeremie S. Kim, Juan Gómez-Luna, Onur Mutlu:
A Workload and Programming Ease Driven Perspective of Processing-in-Memory. - Sara Moccia, Lucia Migliorelli, Rocco Pietrini, Emanuele Frontoni:
Preterm infants' limb-pose estimation from depth images using convolutional neural networks. - Nikola I. Nikolov, Richard H. R. Hahnloser:
Abstractive Document Summarization without Parallel Data. - Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. - Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok N. Choudhary, Jian Cao, Ankit Agrawal:
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes. - Shervin Minaee, Elham Azimi, AmirAli Abdolrashidi:
FingerNet: Pushing The Limits of Fingerprint Recognition Using Convolutional Neural Network. - Christoph Matthies, Guenter Hesse:
Towards Using Data to Inform Decisions in Agile Software Development: Views of Available Data. - Felipe Zimmerle da N. Costa, Ruy José Guerra Barretto de Queiroz:
Capivara: A decentralized package version control using Blockchain. - Yubo Huang, Junguo Lu, Weidong Zhang:
Small disturbances can trigger cascading failures in power grids. - Dongping Li:
Exponential integrators for large-scale stiff matrix Riccati differential equations. - Ron Levie, Michael M. Bronstein, Gitta Kutyniok:
Transferability of Spectral Graph Convolutional Neural Networks. - Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge Ambros, Wolfgang Doerr, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury:
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation. - Jeff Manning, Ross Baldick:
Forecasting Short-term Dynamics of Fair-Weather Cumuli using Dynamic Mode Decomposition. - Hao Xiong, Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Haifeng Wang:
DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting. - Feras Al-Hawari, Elias Manolakos:
Runtime QoS service for application-driven adaptation in network computing. - Lanlan Su, Vijay Gupta, Panos J. Antsaklis:
Feedback Passivation of Linear Systems with Fixed-Structured Controllers. - Jorge Guevara, Roberto Hirata Jr., Stéphane Canu:
Kernels on fuzzy sets: an overview. - Daniel Torres-Salinas, Esteban Romero-Frías, Wenceslao Arroyo-Machado:
Mapping the backbone of the Humanities through the eyes of Wikipedia. - Gautam Pai, Mor Joseph-Rivlin, Ron Kimmel:
Bilateral Operators for Functional Maps. - Maximilian J. Grill, Wolfgang A. Wall, Christoph Meier:
A Computational Model for Molecular Interactions Between Curved Slender Fibers Undergoing Large 3D Deformations With a Focus on Electrostatic, van der Waals and Repulsive Steric Forces. - Han Zhang, Xi Gao, Jacob Unterman, Tomasz Arodz:
Approximation Capabilities of Neural Ordinary Differential Equations. - Lanlan Su, Mengmou Li, Vijay Gupta, Graziano Chesi:
Distributed Resource Allocation over Time-varying Balanced Digraphs with Discrete-time Communication. - Erik Wittern, Alan Cha, James C. Davis, Guillaume Baudart, Louis Mandel:
An Empirical Study of GraphQL Schemas. - Maximilian J. Grill, Christoph Meier, Wolfgang A. Wall:
Investigation of the Peeling and Pull-off Behavior of Adhesive Elastic Fibers via a Novel Computational Beam Interaction Model. - Lanlan Su, Vijay Gupta, Graziano Chesi:
Stabilization of Linear Systems Across a Time-Varying AWGN Fading Channel. - Carlos Caetano, Jessica Sena, François Brémond, Jefersson A. dos Santos, William Robson Schwartz:
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition. - Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard:
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines. - Cunsheng Ding, Chunming Tang, Vladimir D. Tonchev:
Linear codes of 2-designs associated with subcodes of the ternary generalized Reed-Muller codes. - Michael Innerberger, Dirk Praetorius:
Instance-optimal goal-oriented adaptivity. - Chunming Tang, Cunsheng Ding, Maosheng Xiong:
Codes, differentially δ-uniform functions and t-designs. - Abulikemu Abuduweili, Xin Wu, Xingchen Tao:
Efficient Method for Categorize Animals in the Wild. - Jesper Simonsson, Long Zhang, Brice Morin, Benoit Baudry, Martin Monperrus:
Observability and Chaos Engineering on System Calls for Containerized Applications in Docker. - Zhengyuan Yang, Yuncheng Li, Linjie Yang, Ning Zhang, Jiebo Luo:
Weakly Supervised Body Part Parsing with Pose based Part Priors. - Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner:
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. - Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer:
Grid Saliency for Context Explanations of Semantic Segmentation. - Alison Reiheld, Pamela L. Gay:
Coercion, Consent, and Participation in Citizen Science. - Malte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant:
Iterative Budgeted Exponential Search. - Ignacio García-Marco, Irene Márquez-Corbella, Diego Ruano:
High dimensional affine codes whose square has a designed minimum distance. - Telma Pereira, Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira:
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors. - Pau Rodríguez López, Diego Velazquez Dorta, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez:
Pay attention to the activations: a modular attention mechanism for fine-grained image recognition. - Carlos Pachajoa, Markus Levonyak, Wilfried N. Gansterer, Jesper Larsson Träff:
How to Make the Preconditioned Conjugate Gradient Method Resilient Against Multiple Node Failures. - Carl-Martin Pfeiler, Dirk Praetorius:
Dörfler marking with minimal cardinality is a linear complexity problem. - Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun:
Deformable Filter Convolution for Point Cloud Reasoning. - Lourenço Beirão da Veiga, Alexander Pichler, Giuseppe Vacca:
A virtual element method for the miscible displacement of incompressible fluids in porous media. - Gek Hong Sim, Mahdi Mousavi, Lin Wang, Anja Klein, Matthias Hollick:
Joint Relaying and Spatial Sharing Multicast Scheduling for mmWave Networks. - Radoslav Fulek, Csaba D. Tóth:
Atomic Embeddability, Clustered Planarity, and Thickenability. - Travis A. Whetsell, Michael D. Siciliano, Kaila Witkowski, Michael J. Leiblein:
Government as Network Catalyst: Preferential Attachment in the High-Technology Sector. - Tan Chen, Bill Goodwine:
Controllability and Accessibility Results for N-Link Horizontal Planar Manipulators with One Unactuated Joint. - Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. - Zhenyu Bao, Jingwen Tang, Yan Shen, Wei Liu:
Equivalence of pth moment stability between stochastic differential delay equations and their numerical methods. - Chao Bian, Chao Qian, Yang Yu:
On the Robustness of Median Sampling in Noisy Evolutionary Optimization. - Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky:
Computing Approximate Common Factors of Matrix Polynomials. - Rajeev Yasarla, Federico Perazzi, Vishal M. Patel:
Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks. - Evita Bakopoulou, Balint Tillman, Athina Markopoulou:
A Federated Learning Approach for Mobile Packet Classification. - Qin Zhang, Manoj Karkee, Amy Tabb:
The Use of Agricultural Robots in Orchard Management. - Tomás Masopust, Markus Krötzsch:
Partially Ordered Automata and Piecewise Testability. - Francisco Maturana, K. V. Rashmi:
Convertible Codes: Efficient Conversion of Coded Data in Distributed Storage. - Piyasak Thiandee, Boonsap Witchayangkoon, Sayan Sirimontree, Ponlathep Lertworawanich:
An Experiment on Measurement of Pavement Roughness via Android-Based Smartphones. - Chen Kong, Simon Lucey:
Deep Non-Rigid Structure from Motion. - Yijing Zhou, Wei Cai:
A Path Integral Monte Carlo Method based on Feynman-Kac Formula for Electrical Impedance Tomography. - Himan Abdollahpouri, Robin Burke:
Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. - Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. - Seth Johnson, Francesca Samsel, Gregory D. Abram, Daniel Olson, Andrew J. Solis, Bridger Herman, Phillip J. Wolfram, Christophe Lenglet, Daniel F. Keefe:
Artifact-Based Rendering: Harnessing Natural and Traditional Visual Media for More Expressive and Engaging 3D Visualizations. - Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Gim Hee Lee, Loong Fah Cheong, Manmohan Chandraker:
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM. - Ke Xu, Yun Wang, Leni Yang, Yifang Wang, Bo Qiao, Si Qin, Yong Xu, Haidong Zhang, Huamin Qu:
CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems. - Mark Thomas, Bruce Martin, Katie Kowarski, Briand J. Gaudet, Stan Matwin:
Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation. - Joyce Ma, Kwan-Liu Ma, Jennifer Frazier:
Decoding a Complex Visualization in a Science Museum - An Empirical Study. - Mohammed Amin Abdullah, Hang Ren, Haitham Bou-Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang:
Wasserstein Robust Reinforcement Learning. - Nikos Tsourakis, Manny Rayner, Hanieh Habibi, Pierre-Emmanuel Gallais, Cathy Chua, Matt Butterweck:
Alexa as a CALL platform for children: Where do we start? - Hamed Fatemi Langroudi, Zachariah Carmichael, Dhireesha Kudithipudi:
Deep Learning Training on the Edge with Low-Precision Posits. - Ghareeb Falazi, Vikas Khinchi, Uwe Breitenbücher, Frank Leymann:
Transactional Properties of Permissioned Blockchains. - Lantao Yu, Jiaming Song, Stefano Ermon:
Multi-Agent Adversarial Inverse Reinforcement Learning. - Iulia M. Comsa, Krzysztof Potempa, Luca Versari, Thomas Fischbacher, Andrea Gesmundo, Jyrki Alakuijala:
Temporal coding in spiking neural networks with alpha synaptic function. - Paul Downen, Zena M. Ariola:
Compiling With Classical Connectives. - Shishir Rai, Kendric Hood, Mikhail Nesterenko, Gokarna Sharma:
Blockguard: Adaptive Blockchain Security. - Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox:
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. - Manuel Stoeckel, Sajawel Ahmed, Alexander Mehler:
SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation. - Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler:
Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking. - Marcela S. Melara, Michael J. Freedman, Mic Bowman:
EnclaveDom: Privilege Separation for Large-TCB Applications in Trusted Execution Environments. - Caio Ponte, Carlos Caminha, Rafael Bomfim, Ronaldo S. Moreira, Vasco Furtado:
A Temporal Clustering Algorithm for Achieving the trade-off between the User Experience and the Equipment Economy in the Context of IoT. - Roberto B. Di Renna, Rodrigo Caiado de Lamare:
Study of Adaptive Activity-Aware Iterative Detection Techniques for Massive Machine-Type Communications. - Amit Kumar, Rama Chellappa:
Landmark Detection in Low Resolution Faces with Semi-Supervised Learning. - Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David W. Nellans, Puneet Gupta:
Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training. - Alex Cummaudo, Rajesh Vasa, John C. Grundy:
What should I document? A preliminary systematic mapping study into API documentation knowledge. - Ignacio Casso, José F. Morales, Pedro López-García, Manuel V. Hermenegildo:
Computing Abstract Distances in Logic Programs. - Janak Dahal, Elias Ioup, Shaikh Arifuzzaman, Mahdi Abdelguerfi:
Distributed Streaming Analytics on Large-scale Oceanographic Data using Apache Spark. - Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond:
EMPNet: Neural Localisation and Mapping using Embedded Memory Points. - Jiajia Guo, Jinghe Wang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Compression and Acceleration of Neural Networks for Communications. - Maximiliano Klemen, Pedro López-García, John P. Gallagher, José F. Morales, Manuel V. Hermenegildo:
Towards a General Framework for Static Cost Analysis of Parallel Logic Programs. - Ue-Hwan Kim, Jong-Hwan Kim:
A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration. - Rocío Gómez, Mohan Sridharan, Heather Riley:
Towards a Theory of Intentions for Human-Robot Collaboration. - Laure Berti-Équille, Ji Meng Loh, Saravanan Thirumuruganathan:
Are Outlier Detection Methods Resilient to Sampling? - Guan-Lin Chao, Abhinav Rastogi, Semih Yavuz, Dilek Hakkani-Tür, Jindong Chen, Ian R. Lane:
Learning Question-Guided Video Representation for Multi-Turn Video Question Answering. - Carl Dunlea, Ivan Khalzov:
A globally conservative finite element MHD code and its application to the study of compact torus formation, levitation and magnetic compression. - Ue-Hwan Kim, Sahng-Min Yoo, Jong-Hwan Kim:
I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder. - Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
The Unfairness of Popularity Bias in Recommendation. - Vasudevan Nagendra, Arani Bhattacharya, Vinod Yegneswaran, Amir Rahmati, Samir R. Das:
VISCR: Intuitive & Conflict-free Automation for Securing the Dynamic Consumer IoT Infrastructures. - A. K. Boltaev, Abdullo Rakhmonovich Hayotov, Kholmat Mahkambaevich Shadimetov:
Construction of optimal quadrature formulas exact for exponentional-trigonometric functions by Sobolev's method. - Qinghua Lu, Xiwei Xu, Yue Liu, Ingo Weber, Liming Zhu, Weishan Zhang:
uBaaS: A Unified Blockchain as a Service Platform. - Ramin Kaviani, Kory W. Hedman:
A Detection Mechanism Against Load-Redistribution Attacks in Smart Grids. - Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma:
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. - Wanchun Liu, Petar Popovski, Yonghui Li, Branka Vucetic:
Wireless Networked Control Systems with Coding-Free Data Transmission for Industrial IoT. - Gal Sadeh, Edith Cohen, Haim Kaplan:
Influence Maximization with Few Simulations. - Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Semi-supervised Compatibility Learning Across Categories for Clothing Matching. - José Luis Vilchis Medina, Pierre Siegel, Vincent Risch, Andrei Doncescu:
An Implementation of a Non-monotonic Logic in an Embedded Computer for a Motor-glider. 323-329 - Bin Lin, Yinhao Huang, Jianshan Zhang, Junqin Hu, Xing Chen, Jun Li:
Cost-Driven Offloading for DNN-based Applications over Cloud, Edge and End Devices. - Thanh Tung Khuat, Bogdan Gabrys:
A comparative study of general fuzzy min-max neural networks for pattern classification problems. - Mosab Khayat, Morteza Karimzadeh, David S. Ebert, Arif Ghafoor:
The Validity, Generalizability and Feasibility of Summative Evaluation Methods in Visual Analytics. - Xinyu Zhang, Jiewei Cao, Chunhua Shen, Mingyu You:
Self-training with progressive augmentation for unsupervised cross-domain person re-identification. - Mosab Khayat, Morteza Karimzadeh, Jieqiong Zhao, David S. Ebert:
VASSL: A Visual Analytics Toolkit for Social Spambot Labeling. - Yalong Yang, Sarah Goodwin:
What-Why Analysis of Expert Interviews: Analysing Geographically-Embedded Flow Data. - Inyoung Paik, Sangjun Oh, Tae-Yeong Kwak, Injung Kim:
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control. - Inyoung Paik, Taeyeong Kwak, Injung Kim:
Capsule Networks Need an Improved Routing Algorithm. - Rob van Glabbeek, Peter Höfner, Michael Markl:
A Process Algebra for Link Layer Protocols. - Mikaela Irene D. Fudolig, Kunal Bhattacharya, Daniel Monsivais, Hang-Hyun Jo, Kimmo Kaski:
Link-centric analysis of variation by demographics in mobile phone communication patterns. - Jiawei Zhou, Alexander M. Rush:
Simple Unsupervised Summarization by Contextual Matching. - Ming Li, Philip Broadbridge, Andriy Olenko, Yu Guang Wang:
Fast Tensor Needlet Transforms for Tangent Vector Fields on the Sphere. - Sara Kallin, Asim Rashid, Kent Salomonsson, Peter Hansbo:
Comparison of mechanical conditions in a lower leg model with 5 or 6 tissue types while exposed to prosthetic sockets applying finite element analysis. - Young-min Song, Kwangjin Yoon, Young-Chul Yoon, Kin-Choong Yow, Moongu Jeon:
Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management. - Rob van Glabbeek:
Reward Testing Equivalences for Processes. - (Withdrawn) Competing Ratio Loss for Discriminative Multi-class Image Classification.
- Zhen Gao, Maryam Zand, Jianhua Ruan:
A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction. - Avishek Garain, Sainik Kumar Mahata, Subhabrata Dutta:
Normalyzing Numeronyms - A NLP approach. - Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. - Johnny Tian-Zheng Wei:
On conducting better validation studies of automatic metrics in natural language generation evaluation. - Chak Shun Yu, Christoph Treude, Maurício Finavaro Aniche:
Comprehending Test Code: An Empirical Study. - Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao:
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm. - Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Shilei Wen:
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition. - Umberto Michieli, Pietro Zanuttigh:
Incremental Learning Techniques for Semantic Segmentation. - Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani:
Category-Aware Location Embedding for Point-of-Interest Recommendation. - Vimal Radhakrishnan, Omid Taghizadeh, Rudolf Mathar:
Rate Splitting for Massive MIMO Multi-carrier system using Full Duplex Decode and Forward Relay with Hardware Impairments. - Patrick Knöbelreiter, Thomas Pock:
Learned Collaborative Stereo Refinement. - (Withdrawn) iCartoonFace: A Benchmark of Cartoon Person Recognition.
- Daniel Martens, Walid Maalej:
Extracting and Analyzing Context Information in User-Support Conversations on Twitter. - Pablo Samuel Castro, Shijian Li, Daqing Zhang:
Inverse Reinforcement Learning with Multiple Ranked Experts. - Samin Aref, Emilio Zagheni, Jevin West:
The demography of the peripatetic researcher: Evidence on highly mobile scholars from the Web of Science. - Anton Ponomarev, Julian Hofmann, Lutz Gröll:
Characteristics-based Simulink implementation of first-order quasilinear partial differential equations. - Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu:
Expectation-Maximization Attention Networks for Semantic Segmentation. - Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen:
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. - William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. - Richard Nies, Matthias Hoelzl:
Testing performance with and without Block Low Rank Compression in MUMPS and the new PaStiX 6.0 for JOREK nonlinear MHD simulations. - João P. B. Pereira, Albert K. Groen, Erik S. G. Stroes, Evgeni Levin:
Graph Space Embedding. - Yeshasvi Tirupachuri, Gabriele Nava, Lorenzo Rapetti, Claudia Latella, Daniele Pucci:
Trajectory Advancement during Human-Robot Collaboration. - Étienne André, Jawher Jerray, Sahar Mhiri:
Time4sys2imi: A tool to formalize real-time system models under uncertainty. - Yuriy Anisimov, Oliver Wasenmüller, Didier Stricker:
Rapid Light Field Depth Estimation with Semi-Global Matching. - Chao Zhai:
A Robust Optimization Approach for Terminating the Cascading Failure of Power Systems. - Yi Wang, Shiqi Zhang, Joohyung Lee:
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language. - Yang Liu, Samuel Albanie, Arsha Nagrani, Andrew Zisserman:
Use What You Have: Video Retrieval Using Representations From Collaborative Experts. - Alberto Cenzato, Alberto Testolin, Marco Zorzi:
On the difficulty of learning and predicting the long-term dynamics of bouncing objects. - Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil:
An Efficient and Scalable Privacy Preserving Algorithm for Big Data and Data Streams. - Henry Wilde, Vincent A. Knight, Jonathan W. Gillard:
Evolutionary Dataset Optimisation: learning algorithm quality through evolution. - Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias:
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. - Ali Reza Tavakolpour-Saleh:
General theorem of equilibrium status. - Andy Arief Setyawan, Ahmad Ilham:
A novel framework of the fuzzy c-means distances problem based weighted distance. - Xinan Yang, Nikolaos Thomos:
A rolling-horizon dynamic programming approach for collaborative caching. - Amang Kim, Paul D. Yoo:
An Enhanced Machine Learning Based Biometric Authentication System Using RR-Interval Framed Electrocardiograms. - Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette:
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. - Tiago Botari, Rafael Izbicki, André C. P. L. F. de Carvalho:
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. - Leon Andretti Abdillah, Linda Atika, Kurniawan, Fitri Purwaningtias:
Prototype Software Monitoring Sarana dan Prasarana Perguruan Tinggi. - Allyson Ettinger:
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models. - Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
Competitive Co-evolution for Dynamic Constrained Optimisation. - Patrik Keller, Rainer Böhme:
HotPoW: Finality from Proof-of-Work Quorums. - Manuela Waldner, Alexandra Diehl, Denis Gracanin, Rainer Splechtna, Claudio Delrieux, Kresimir Matkovic:
A Comparison of Radial and Linear Charts for Visualizing Daily Pattern. - Rina Dong, Dongming Wang:
Computing strong regular characteristic pairs with Groebner bases. - Zhutian Chen, Wei Zeng, Zhiguang Yang, Lingyun Yu, Chi-Wing Fu, Huamin Qu:
LassoNet: Deep Lasso-Selection of 3D Point Clouds. - Alessio Russo, Alexandre Proutière:
Optimal Attacks on Reinforcement Learning Policies. - Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu:
Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline. - Raef Bassily, Anupama Nandi:
Privately Answering Classification Queries in the Agnostic PAC Model. - Guido Brückner, Nadine Davina Krisam, Tamara Mchedlidze:
Level-Planar Drawings with Few Slopes. - Vahab Mostafapour, Oguz Dikenelli:
Attention-Wrapped Hierarchical BLSTMs for DDI Extraction. - Kailai Li, Johannes Cox, Benjamin Noack, Uwe D. Hanebeck:
Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions. - Arvind Satyanarayan, Bongshin Lee, Donghao Ren, Jeffrey Heer, John T. Stasko, John Thompson, Matthew Brehmer, Zhicheng Liu:
Critical Reflections on Visualization Authoring Systems. - Keval Doshi:
Synthetic Image Augmentation for Improved Classification using Generative Adversarial Networks. - Ola Wingbrant:
Regular languages, derivatives and finite automata. - Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje:
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning. - Basaran Bahadir Kocer, Mehmet Efe Tiryaki, Mahardhika Pratama, Tegoeh Tjahjowidodo, Gerald Gim Lee Seet:
Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC. - Marcelo Ponce, Ramses van Zon, Scott Northrup, Daniel Gruner, Joseph Chen, Fatih Ertinaz, Alexey Fedoseev, Leslie Groer, Fei Mao, Bruno C. Mundim, Mike Nolta, Jaime Pinto, Marco Saldarriaga, Vladimir Slavnic, Erik Spence, Ching-Hsing Yu, W. Richard Peltier:
Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer. - Jieqiong Zhao, Morteza Karimzadeh, Luke S. Snyder, Chittayong Surakitbanharn, Zhenyu Cheryl Qian, David S. Ebert:
MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies. - Richard Kueng, Joel A. Tropp:
Binary component decomposition Part II: The asymmetric case. - Richard Kueng, Joel A. Tropp:
Binary Component Decomposition Part I: The Positive-Semidefinite Case. - Ian C. T. May, Ronald D. Haynes, Steven J. Ruuth:
Domain Decomposition for the Closest Point Method. - Roberto Magán-Carrión, José Camacho, Ángel Ruíz-Zafra:
MSNM-S: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems. - Qianli Ma, Siyu Tang, Sergi Pujades, Gerard Pons-Moll, Anurag Ranjan, Michael J. Black:
Dressing 3D Humans using a Conditional Mesh-VAE-GAN. - Wei-Sheng Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Video Stitching for Linear Camera Arrays. - Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic:
On Mutual Information Maximization for Representation Learning. - Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy:
Disentangled Relational Representations for Explaining and Learning from Demonstration. - Chandrajit Bajaj, Yi Wang, Tianming Wang:
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix. - Mikhail Yurochkin, Amanda Bower, Yuekai Sun:
Learning fair predictors with Sensitive Subspace Robustness. - Paulo Chagas, Luiz Souza, Ikaro Araújo, Nayze Aldeman, Angelo Amâncio Duarte, Michele F. Angelo, Washington L. C. dos-Santos, Luciano Oliveira:
Classification of glomerular hypercellularity using convolutional features and support vector machine. - Rares-Darius Buhai, Andrej Risteski, Yoni Halpern, David A. Sontag:
Benefits of Overparameterization in Single-Layer Latent Variable Generative Models. - José Camacho, Evrim Acar, Morten A. Rasmussen, Rasmus Bro:
Cross-product Penalized Component Analysis (XCAN). - Rashi Mehrotra, Rafay Iqbal Ansari, Alexandros Pitilakis, Shuai Nie, Christos Liaskos, Nikolaos V. Kantartzis, Andreas Pitsillides:
3D Channel Modeling and Characterization for Hypersurface Empowered Indoor Environment at 60 GHz Millimeter-Wave Band. - Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Ozan Oktay, Loïc Le Folgoc, Konstantinos Kamnitsas, Antonio de Marvao, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling. - Tammo Rukat, Christopher Yau:
Bayesian Nonparametric Boolean Factor Models. - Fragkiskos Papadopoulos, Marco Antonio Rodríguez Flores:
Latent geometry and dynamics of proximity networks. - Colin Targonski, Benjamin T. Shealy, Melissa C. Smith, F. Alex Feltus:
Cellular State Transformations using Generative Adversarial Networks. - Babak Rahmani, Damien Loterie, Eirini Kakkava, Navid Borhani, Ugur Tegin, Demetri Psaltis, Christophe Moser:
Multimode Fiber Projector. - Rob Egrot:
Recursive axiomatizations from separation properties. - Xiaoyu Chen, Xu Wang, Lianfa Bai, Jing Han, Zhuang Zhao:
High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing. - Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins:
Identification In Missing Data Models Represented By Directed Acyclic Graphs. - Emily Toomey, Ken Segall, Karl K. Berggren:
A Power Efficient Artificial Neuron Using Superconducting Nanowires. - Minjia Shi, Li Xu, Denis S. Krotov:
On the number of resolvable Steiner triple systems of small 3-rank. - Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou:
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. - Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr:
SLAM Endoscopy enhanced by adversarial depth prediction. - Tomohiro Nishiyama:
A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound. - Jelena Diakonikolas, Lorenzo Orecchia:
Conjugate Gradients and Accelerated Methods Unified: The Approximate Duality Gap View. - Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo:
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction. - Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. - Serguei Norine, Robin Thomas:
Minimal bricks. - Narayanan Rengaswamy, A. Robert Calderbank, Swanand Kadhe, Henry D. Pfister:
Logical Clifford Synthesis for Stabilizer Codes. - Omid Sadeghi, Reza Eghbali, Maryam Fazel:
Competitive Algorithms for Online Budget-Constrained Continuous DR-Submodular Problems. - Omid Sadeghi, Maryam Fazel:
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints. - Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili:
Analog Signal Compression and Multiplexing Techniques for Healthcare Internet of Things. - Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le, Dario Pompili, Mehdi Javanmard:
Towards Wireless Health Monitoring via Analog Signal Compression based Biosensing Platform. - Niranjan Balachandar, Christine Liu, Winston Wang:
Prediction of Small Molecule Kinase Inhibitors for Chemotherapy Using Deep Learning. - Somaye Sheykhali, Amir Hossein Darooneh, Gholam Reza Jafari:
Instability of social network dynamics with stubborn links. - Jakub Kozik, Piotr Micek, William T. Trotter:
Dimension is polynomial in height for posets with planar cover graphs. - Martin Krombholz, Michael Rathjen:
Upper bounds on the graph minor theorem. - Nils Herrmann, Michael Hanrath:
Automatic Routing of Goldstone Diagrams using Genetic Algorithms. - Roy Cerqueti, Gian Paolo Clemente, Rosanna Grassi:
Influence measures in subnetworks using vertex centrality. - Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren:
Conditional Segmentation in Lieu of Image Registration. - Marcio Fonseca:
Unsupervised predictive coding models may explain visual brain representation. - Erick Schmidt, Zach A. Ruble, David Akopian, Daniel J. Pack:
A Reduced Complexity Cross-correlation Interference Mitigation Technique on a Real-time Software-defined Radio GPS L1 Receiver. - Erick Schmidt, David Akopian:
Exploiting Acceleration Features of LabVIEW platform for Real-Time GNSS Software Receiver Optimization. - Erick Schmidt, David Akopian:
Fast prototyping of an SDR WLAN 802.11b receiver for an indoor positioning system. - Jinseok Choi, Junmo Sung, Narayan Prasad, Xiao-Feng Qi, Brian L. Evans, Alan Gatherer:
Base Station Antenna Selection for Low-Resolution ADC Systems. - Zachary E. Ross, Daniel T. Trugman, Kamyar Azizzadenesheli, Anima Anandkumar:
Directivity Modes of Earthquake Populations with Unsupervised Learning. - Hakan Gökcesu, Suleyman Serdar Kozat:
Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret. - Deyou Zhang, Ang Li, He Chen, Ning Wei, Ming Ding, Yonghui Li, Branka Vucetic:
Beam Allocation for Millimeter-Wave MIMO Tracking Systems. - Maria Glenski, Tim Weninger, Svitlana Volkova:
Improved Forecasting of Cryptocurrency Price using Social Signals. - Shi-Yu Li, Yun-Long Li, Tong-Jie Zhang:
Model Comparison of Dark Energy models Using Deep Network. - Heishiro Kanagawa, Wittawat Jitkrittum, Lester Mackey, Kenji Fukumizu, Arthur Gretton:
A Kernel Stein Test for Comparing Latent Variable Models. - Heng Zhang, Zhichao Zhang, Shunqing Zhang, Shugong Xu, Shan Cao:
Fingerprint-based Localization using Commercial LTE Signals: A Field-Trial Study. - Ryuji Imamura, Tatsuki Itasaka, Masahiro Okuda:
Self-supervised Hyperspectral Image Restoration using Separable Image Prior. - Saeed Salehi:
On Rudimentarity, Primitive Recursivity and Representability. - Roope Tervo, Joonas Karjalainen, Alexander Jung:
Short-term prediction of Electricity Outages Caused by Convective Storms. - Nicolas Meyer, Olivier Wintenberger:
Sparse regular variation. - Soaad Hossain:
Application and Computation of Probabilistic Neural Plasticity. - Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer:
Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. - B. S. Bleier:
Information Flow Theory (IFT) of Biologic and Machine Consciousness: Implications for Artificial General Intelligence and the Technological Singularity. - James King, Masoud Mohseni, William Bernoudy, Alexandre Fréchette, Hossein Sadeghi, Sergei V. Isakov, Hartmut Neven, Mohammad H. Amin:
Quantum-Assisted Genetic Algorithm. - Artur Speiser, Srinivas C. Turaga, Jakob H. Macke:
Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning. - Ahmed Mustafa, Arijit Biswas, Christian Bergler, Julia Schottenhamml, Andreas K. Maier:
Analysis by Adversarial Synthesis - A Novel Approach for Speech Vocoding. - Larissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner:
CNN-based synthesis of realistic high-resolution LiDAR data. - Samiru Gayan, Hazer Inaltekin, Rajitha Senanayake, Jamie S. Evans:
Phase Modulated Communication with Low-Resolution ADCs. - Volodymyr Astapenya, Volodymyr Sokolov, Mahyar Taj Dini:
Results and Tools for Evaluating the Effectiveness of Focusing Systems to Improve Accessibility in Wireless Networks. - Yi-Chiao Wu, Tomoki Hayashi, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda:
Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation. - Manuel Sam Ribeiro, Aciel Eshky, Korin Richmond, Steve Renals:
Ultrasound tongue imaging for diarization and alignment of child speech therapy sessions. - Håvard Kvamme, Ørnulf Borgan, Ida Scheel:
Time-to-Event Prediction with Neural Networks and Cox Regression. - Hao Huang:
Induced subgraphs of hypercubes and a proof of the Sensitivity Conjecture. - Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Syeda Furruka Banu, Farhan Akram, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig:
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. - Sebastian Farquhar, Michael A. Osborne, Yarin Gal:
Radial Bayesian Neural Networks: Robust Variational Inference In Big Models. - Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Compression of Acoustic Event Detection Models With Quantized Distillation. - Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romaní, Domenec Puig:
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. - Julian Kohne, Natalie Gallagher, Zeynep Melis Kirgil, Rocco Paolillo, Lars Padmos, Fariba Karimi:
The Role of Network Structure and Initial Group Norm Distributions in Norm Conflict. - Noel M. Naughton, John G. Georgiadis:
Lattice Boltzmann method for simulation of diffusion magnetic resonance imaging physics in heterogeneous tissue models. - Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar:
A Unified Approach to Robust Mean Estimation. - Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images. - Kyung Mee Song, Jae-Seung Jeong, Sun Kyung Cha, Tae-Eon Park, Kwangsu Kim, Simone Finizio, Jörg Raabe, Joonyeon Chang, Hyunsu Ju, Seonghoon Woo:
Magnetic skyrmion artificial synapse for neuromorphic computing. - Vidyasagar Sadhu, Sanjana Devaraj, Dario Pompili:
Energy-efficient Wireless Analog Sensing for Persistent Underwater Environmental Monitoring. - Ivan Ezhov, Jana Lipková, Suprosanna Shit, Florian Kofler, Nora Collomb, Benjamin Lemasson, Emmanuel Luc Barbier, Bjoern H. Menze:
Neural parameters estimation for brain tumor growth modeling. - Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge:
Accurate, reliable and fast robustness evaluation. - Eugen Beck, Wei Zhou, Ralf Schlüter, Hermann Ney:
LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring. - Tatsuto Murayama, Asaki Saito, Peter Davis:
Rate Distortion Theorem and the Multicritical Point of Spin Glass. - Robert Bamler, Farnood Salehi, Stephan Mandt:
Augmenting and Tuning Knowledge Graph Embeddings. - Masahito Ohue, Ryota Ii, Keisuke Yanagisawa, Yutaka Akiyama:
Molecular activity prediction using graph convolutional deep neural network considering distance on a molecular graph. - Ruiyuan Wu, Wing-Kin Ma, Xiao Fu, Qiang Li:
Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation. - Yann Bugeaud, Andrej Dujella, Wenjie Fang, Tomislav Pejkovic, Bruno Salvy:
Absolute root separation. - Yimin Ge, Vedran Dunjko:
A hybrid algorithm framework for small quantum computers with application to finding Hamiltonian cycles. - Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang:
Dual Network Architecture for Few-view CT - Trained on ImageNet Data and Transferred for Medical Imaging. - Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte Manisty, James C. Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert:
Improving the generalizability of convolutional neural network-based segmentation on CMR images. - Gabriel Meseguer-Brocal, Geoffroy Peeters:
Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations. - Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas:
Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. - Aleksander Kelenc:
Determining the Hausdorff Distance Between Trees in Polynomial Time. - Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang:
Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks. - Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann:
Lipper: Synthesizing Thy Speech using Multi-View Lipreading. - Uliyana Kubasova, Gabriel Murray, McKenzie Braley:
Analyzing Verbal and Nonverbal Features for Predicting Group Performance. - Cal Peyser, Hao Zhang, Tara N. Sainath, Zelin Wu:
Improving Performance of End-to-End ASR on Numeric Sequences. - Hristina Uzunova, Jan Ehrhardt, Fabian Jacob, Alex Frydrychowicz, Heinz Handels:
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images. - Veronika Dubinkina, Yulia Fridman, Parth Pratim Pandey, Sergei Maslov:
Multistability and regime shifts in microbial communities explained by competition for essential nutrients. - Tao Ren, Zhe Li, Yi Qi, Yixin Zhang, Simiao Liu, Yanjie Xu, Tao Zhou:
Identifying vital nodes based on reverse greedy method. - Alexei Ashikhmin, Ching-Yi Lai, Todd A. Brun:
Quantum Data-Syndrome Codes. - Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang:
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. - Wilfried Michel, Ralf Schlüter, Hermann Ney:
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR. - Manuel Sam Ribeiro, Aciel Eshky, Korin Richmond, Steve Renals:
Speaker-independent classification of phonetic segments from raw ultrasound in child speech. - Xueyuan Zhao, Vidyasagar Sadhu, Anthony Yang, Dario Pompili:
Improved Circuit Design of Analog Joint Source Channel Coding for Low-power and Low-complexity Wireless Sensors. - Chieh-Chi Kao, Ming Sun, Yixin Gao, Shiv Vitaladevuni, Chao Wang:
Sub-band Convolutional Neural Networks for Small-footprint Spoken Term Classification. - Emilio Hugues-Salas, Qibing Wang, Rui Wang, Kalyani Rajkumar, George T. Kanellos, Reza Nejabati, Dimitra Simeonidou:
Coexistence of 11.2Tb/s Carrier-Grade Classical Channels and a DV-QKD Channel over a 7-Core Multicore Fibre. - Valérie Berthé, Christiane Frougny, Michel Rigo, Jacques Sakarovitch:
The carry propagation of the successor function. - Alan Richardson, Caelen Feller:
Seismic data denoising and deblending using deep learning. - Jérôme Van Zaen, Olivier Chételat, Mathieu Lemay, Enric M. Calvo, Ricard Delgado-Gonzalo:
Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network. - Jie Zhang, Bohao Li, Kexin Xiang, Xuegang Shi:
Method of diagnosing heart disease based on deep learning ECG signal. - Yasith Jayawardana, Mark Jaime, Sashi Thapaliya, Sampath Jayarathna:
Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder (ASD) (Extended Version). - Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang:
Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots. - Zhuangzhuang Cui, Ke Guan, César Briso, Danping He, Jianqiao Cheng, Zhangdui Zhong, François Quitin:
Analytical Modeling of UAV-to-Vehicle Propagation Channels in Built-Up Areas. - Zixi Liu, Qi Zhu, Mei Su:
Metal Object Detection Based on Load Impedance and Input Power Characteristics for High-dimensional WPT System. - Kaiqi Zhang, Xiyuan Zhang, Zheng Zhang:
Tucker Tensor Decomposition on FPGA. - Rui Dong, Changyang She, Wibowo Hardjawana, Yonghui Li, Branka Vucetic:
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin. - Viraj Bangari, Bicky A. Marquez, Heidi B. Miller, Alexander N. Tait, Mitchell A. Nahmias, Thomas Ferreira de Lima, Hsuan-Tung Peng, Paul R. Prucnal, Bhavin J. Shastri:
Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs). - Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh:
Efficient Algorithms for Smooth Minimax Optimization. - Stefan Kunis, Tim Römer, Ulrich von der Ohe:
Learning algebraic decompositions using Prony structures. - Zilong Zou, Sayan Mukherjee, Harbir Antil, Wilkins Aquino:
Adaptive particle-based approximations of the Gibbs posterior for inverse problems. - Shunya Okuno, Kazuyuki Aihara, Yoshito Hirata:
Forecasting high-dimensional dynamics exploiting suboptimal embeddings. - Trevor Vincent, Harald P. Pfeiffer, Nils Leif Fischer:
A hp-adaptive discontinuous Galerkin solver for elliptic equations in numerical relativity. - Lucía M. González, Luciano N. Grippo, Martín D. Safe, Vinícius Fernandes dos Santos:
Covering graphs with convex sets and partitioning graphs into convex sets. - Dmitri S. Pavlichin, Yihui Quek, Tsachy Weissman:
Minimum Power to Maintain a Nonequilibrium Distribution of a Markov Chain. - Xia Liang, Junmin Wu, Yan Yin:
MIDI-Sandwich: Multi-model Multi-task Hierarchical Conditional VAE-GAN networks for Symbolic Single-track Music Generation. - Hirotada Honda:
Sensitivity of quantum PageRank. - Ryan J. Cunningham, Ian D. Loram:
Estimation of Absolute States of Human Skeletal Muscle via Standard B-Mode Ultrasound Imaging and Deep Convolutional Neural Networks. - Yu-Chia Chen, Marina Meila:
Selecting the independent coordinates of manifolds with large aspect ratios. - Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood:
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. - Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal:
A flexible EM-like clustering algorithm for noisy data. - Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee:
Towards Interpretable Deep Extreme Multi-label Learning. - Thomas Viehmann:
Implementation of batched Sinkhorn iterations for entropy-regularized Wasserstein loss. - Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, Dong Ni:
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. - Jian Wang, Xiaoyao Li, Xiangbo Shu, Weiqin Li:
Region-Manipulated Fusion Networks for Pancreatitis Recognition. - Peter Fasogbon, Emre Aksu:
Calibration of fisheye camera using entrance pupil. - Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi:
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses. - Georgios M. Nikolopoulos:
Cryptographic One-way Function Based on Boson Sampling. - Kazutaka Ueda, Yuki Sakai, Hideyoshi Yanagisawa:
Quantitative evaluation of sense of discrepancy to operation response using event-related potential. - Stefan Vlaski, Ali H. Sayed:
Distributed Learning in Non-Convex Environments - Part I: Agreement at a Linear Rate. - Manijeh Bashar, Alister G. Burr, Katsuyuki Haneda, Kanapathippillai Cumanan, Mehdi M. Molu, Mohsen Khalily, Pei Xiao:
Evaluation of Low Complexity Massive MIMO Techniques Under Realistic Channel Conditions. - Daniel Augusto R. M. A. de Souza, César Lincoln C. Mattos, João Paulo Pordeus Gomes:
Unscented Gaussian Process Latent Variable Model: learning from uncertain inputs with intractable kernels. - Wilhelm Wimmer, Clair Vandersteen, Nicolas Guevara, Marco Caversaccio, Hervé Delingette:
Robust Cochlear Modiolar Axis Detection in CT. - Abdelkerim Amari, Sebastiaan Goossens, Yunus Can Gultekin, Olga Vassilieva, Inwoong Kim, Tadashi Ikeuchi, Chigo Okonkwo, Frans M. J. Willems, Alex Alvarado:
Enumerative Sphere Shaping for Rate Adaptation and Reach Increase in WDM Transmission Systems. - Mónica Chillarón, Gregorio Quintana-Ortí, Vicente Vidal, Gumersindo Verdú:
Computed tomography medical image reconstruction on affordable equipment by using out-of-core techniques. - Amit Moscovich, Amit Halevi, Joakim Andén, Amit Singer:
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes. - Ross S. Kleiman, Paul S. Bennett, Peggy L. Peissig, Richard L. Berg, Zhaobin Kuang, Scott J. Hebbring, Michael D. Caldwell, David Page:
High-Throughput Machine Learning from Electronic Health Records. - Joost Jorritsma, Júlia Komjáthy:
Weighted distances in scale-free preferential attachment models. - Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. - Ievgen Karaulov, Dmytro Tkanov:
Attention model for articulatory features detection. - Jen-Hung Wang, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee:
A Reinforcement Learning Approach for the Multichannel Rendezvous Problem. - Jure Demsar, Grega Repovs, Erik Strumbelj:
bayes4psy - an Open Source R Package for Bayesian Statistics in Psychology. - Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek:
Deep Transfer Learning For Whole-Brain fMRI Analyses. - Cong-Thanh Do:
End-to-End Speech Recognition with High-Frame-Rate Features Extraction. - Jonathan Johannemann, Robert Tibshirani:
Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics. - Mingxi Zhu, Kresimir Mihic, Yinyu Ye:
On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems. - Pawel Mlynarski, Hervé Delingette, Hamza Alghamdi, Pierre-Yves Bondiau, Nicholas Ayache:
Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks. - Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian:
Variance Reduction for Matrix Games. - Mehrdad Hessar, Ali Najafi, Vikram Iyer, Shyamnath Gollakota:
TinySDR: Low-Power SDR Platform for Over-the-Air Programmable IoT Testbeds. - Sambit Panda, Satish Palaniappan, Junhao Xiong, Ananya Swaminathan, Sandhya Ramachandran, Eric W. Bridgeford, Cencheng Shen, Joshua T. Vogelstein:
mgcpy: A Comprehensive High Dimensional Independence Testing Python Package. - Domonkos Varga:
A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k. - Philipp Windischhofer, Miha Zgubic, Daniela Bortoletto:
Preserving physically important variables in optimal event selections: A case study in Higgs physics. - José Manuel Dos Santos, A. P. Silveira, A. E. S. Trocado:
GeoGebra e situações que envolvem modelação numa abordagem STEAM. - Emir Hrnjic, Nikodem Tomczak:
Machine learning and behavioral economics for personalized choice architecture. - Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms. - Jimit Doshi, Güray Erus, Mohamad Habes, Christos Davatzikos:
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images. - Paria Mehrani, Andrei Mouraviev, John K. Tsotsos:
Multiplicative modulations in hue-selective cells enhance unique hue representation. - Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim:
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches. - Daesung Yu, Junbeom Kim, Seok-Hwan Park:
An Efficient Rate-Splitting Multiple Access Scheme for the Downlink of C-RAN Systems. - Robert Bamler, Stephan Mandt:
A Quantum Field Theory of Representation Learning. - Ryumei Nakada, Masaaki Imaizumi:
Adaptive Approximation and Estimation of Deep Neural Network to Intrinsic Dimensionality. - Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang:
On the Convergence of FedAvg on Non-IID Data. - Igbafe Orikumhi, Jeongwan Kang, Henk Wymeersch, Sunwoo Kim:
Location-aware Beam Alignment for mmWave Communications. - Dimitris Bertsimas, Bartolomeo Stellato:
Online Mixed-Integer Optimization in Milliseconds. - Feng Shu, Lin Liu, Yumeng Zhang, Guiyang Xia, Xiaoyu Liu, Jun Li, Shi Jin, Jiangzhou Wang:
A Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver. - Fengyu Zhou, James Anderson, Steven H. Low:
The Optimal Power Flow Operator: Theory and Computation. - Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde:
Neural Networks, Hypersurfaces, and Radon Transforms. - Mustapha Kabil, Maurice Pouzet:
Injective envelopes of transition systems and Ferrers languages. - Nicolo Lo Piparo, Michael Hanks, Claude Gravel, Kae Nemoto, William J. Munro:
Resource reduction for distributed quantum information processing using quantum multiplexed photons. - Arthur Charpentier, Alfred Galichon, Lucas Vernet:
Optimal transport on large networks a practitioner guide. - Parinaz Kasebzadeh, Gustaf Hendeby, Fredrik Gustafsson:
Asynchronous Averaging of Gait Cycles for Classification of Gait and Device Modes. - Victoria Tokareva, Andreas Haungs, Donghwa Kang, Dmitriy Kostunin, Frank Polgart, Doris Wochele, Jürgen Wochele:
Development of a data infrastructure for a global data and analysis center in astroparticle physics. - Kristine Heiney, Vibeke Devold Valderhaug, Ioanna Sandvig, Axel Sandvig, Gunnar Tufte, Hugo Lewi Hammer, Stefano Nichele:
Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity. - Changjian Xie, Carlos J. García-Cervera, Cheng Wang, Zhennan Zhou, Jingrun Chen:
Second-order semi-implicit projection methods for micromagnetics simulations. - Simon Apers:
Expansion Testing using Quantum Fast-Forwarding and Seed Sets. - Juan-Andrés Pérez-Rúa, Kaushik Das, Mathias Stolpe, Nicolaos A. Cutululis:
Cable Layout Optimization of Offshore Wind Farms Collection Systems. - Valentin Leplat, Nicolas Gillis, Andersen Man Shun Ang:
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF. - Grigori German, Hadrien Cambazard, Jean-Philippe Gayon, Bernard Penz:
A global constraint for the capacitated single-item lot-sizing problem. - Ustim Khristenko, Andrei Constantinescu, Patrick Le Tallec, J. Tinsley Oden, Barbara I. Wohlmuth:
A statistical framework for generating microstructures of two-phase random materials: application to fatigue analysis. - Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani:
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI. - Liang Guo, Jianya Liu, Ruodan Lu:
Subsampling Bias and The Best-Discrepancy Systematic Cross Validation. - Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu:
High-dimensional Gaussian graphical model for network-linked data. - Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Learning Latent Dynamics for Partially-Observed Chaotic Systems. - Viacheslav Klimkov, Srikanth Ronanki, Jonas Rohnke, Thomas Drugman:
Fine-grained robust prosody transfer for single-speaker neural text-to-speech. - Somdatta Goswami, Cosmin Anitescu, Souvik Chakraborty, Timon Rabczuk:
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture. - Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine P. Andriole, Brian B. Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil A. Tenenholtz:
DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning. - Stefano Tracà, Cynthia Rudin, Weiyu Yan:
Reducing Exploration of Dying Arms in Mortal Bandits. - Akshay Iyer, Yichi Zhang, Aditya Prasad, Siyu Tao, Yixing Wang, Linda Schadler, L. Catherine Brinson, Wei Chen:
Data-Centric Mixed-Variable Bayesian Optimization For Materials Design. - Abderrazak Chahid, Fahad Albalawi, Turky Nayef Alotaiby, Majed Hamad Al-Hameed, Saleh A. Alshebeili, Taous-Meriem Laleg-Kirati:
QuPWM: Feature Extraction Method for MEG Epileptic Spike Detection. - Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli:
Adversarial Robustness through Local Linearization. - Romuald Elie, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Olivier Pietquin:
Approximate Fictitious Play for Mean Field Games. - Joshua E. Siegel, Maria F. Beemer, Steven M. Shepard:
Automated Non-Destructive Inspection of Fused Filament Fabrication Components Using Thermographic Signal Reconstruction. - Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan:
Pathology GAN: Learning deep representations of cancer tissue. - Shuai Li, Xinjun Liu, Sanjoy Kumar Nandi, Shimul Kanti Nath, Robert Glen Elliman:
Origin of current-controlled negative differential resistance modes and the emergence of composite characteristics with high complexity. - Weicheng Cai, Haiwei Wu, Danwei Cai, Ming Li:
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion. - Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, Zhou Wang:
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network. - Toshinari Itoko, Rudy Raymond, Takashi Imamichi, Atsushi Matsuo:
Optimization of Quantum Circuit Mapping using Gate Transformation and Commutation. - Sha Hu:
Spherical Large Intelligent Surfaces. - Sascha Kurz:
Subspaces intersecting in at most a point. - Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Nidhi Pandey, Domenec Puig:
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation. - Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert:
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation. - Paul-Elliot Anglès d'Auriac, Takayuki Kihara:
A comparison of various analytic choice principles. - Bin Han, Yao Zhu, Zhiyuan Jiang, Yulin Hu, Hans D. Schotten:
Optimal Blocklength Allocation towards Reduced Age of Information in Wireless Sensor Networks. - Noé Tits:
A Methodology for Controlling the Emotional Expressiveness in Synthetic Speech - a Deep Learning approach. - Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. - François-Xavier Coudert:
Materials databases: the need for open, interoperable databases with standardized data and rich metadata. - Felix Henneke, Lin Lin, Christian Vorwerk, Claudia Draxl, Rupert Klein, Chao Yang:
Fast optical absorption spectra calculations for periodic solid state systems. - Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein:
Geodesic Learning via Unsupervised Decision Forests. - Tobias Fehenberger, Alex Alvarado:
Analysis and Optimisation of Distribution Matching for the Nonlinear Fibre Channel. - Esmaeil Seraj, Karthiga Mahalingam:
Essential Motor Cortex Signal Processing: an ERP and functional connectivity MATLAB toolbox - User Guide. - Jiawei Zhang:
Cognitive Functions of the Brain: Perception, Attention and Memory. - Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac MRI Segmentation with Strong Anatomical Guarantees. - Zahra Alidousti, Maryam Taghizadeh Dehkordi:
A new method for determining the filled point of the tooth by Bit-Plane Algorithm. - Sumit A. Raurale, Saif Nalband, Geraldine B. Boylan, Gordon Lightbody, John M. O'Toole:
Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG. - Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz:
Invariant Risk Minimization. - Jianmei Luo, ChandraVyas Annakula, Aruna Sai Kannamareddy, Jasjeet S. Sekhon, William Henry Hsu, Michael Higgins:
Hybridized Threshold Clustering for Massive Data. - Daniel Vial, Vijay G. Subramanian:
Restart perturbations for lazy, reversible Markov chains: trichotomy and pre-cutoff equivalence. - Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea:
An Approximate Bayesian Approach to Surprise-Based Learning. - Diego Valsesia, Enrico Magli:
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction. - Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar:
Deep learning in ultrasound imaging. - Fabrice Daniel:
Financial Time Series Data Processing for Machine Learning. - Qing Lyu, Hongming Shan, Ge Wang:
MRI Super-Resolution with Ensemble Learning and Complementary Priors. - Ankit Pensia, Varun S. Jog, Po-Ling Loh:
Estimating location parameters in entangled single-sample distributions. - Bangti Jin, Zehui Zhou, Jun Zou:
On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems. - Zheng Fang, Adrian S. Wong, Kangbo Hao, Alexander J. A. Ty, Henry D. I. Abarbanel:
Precision annealing Monte Carlo methods for statistical data assimilation and machine learning. - Bjarne A. Grimstad, Henrik Andersson:
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs. - Jerod Michel, Qi Wang:
Placement Delivery Arrays from Combinations of Strong Edge Colorings. - Alexander März:
XGBoostLSS - An extension of XGBoost to probabilistic forecasting. - Maryam Aliakbarpour, Ravi Kumar, Ronitt Rubinfeld:
Testing Mixtures of Discrete Distributions. - Franziska Göbel, Gilles Blanchard:
Volume Doubling Condition and a Local Poincaré Inequality on Unweighted Random Geometric Graphs. - Ben Moews, Jaime R. Argueta Jr., Antonia Gieschen:
Filaments of crime: Informing policing via thresholded ridge estimation. - Da He, De Cai, Jiasheng Zhou, Jiajia Luo, Sung-Liang Chen:
Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network. - Saket S. Chaturvedi, Kajol Gupta, Prakash S. Prasad:
Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet. - Xiaole Zhao, Ying Liao, Ye Li, Tao Zhang, Xueming Zou:
FC2N: Fully Channel-Concatenated Network for Single Image Super-Resolution. - Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. - Yan Wang, Wei Song, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta:
An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging. - Dong Nie, Lei Xiang, Qian Wang, Dinggang Shen:
Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis. - Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren:
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. - Franco Flandoli, Dejun Luo, Cristiano Ricci:
A numerical approach to Kolmogorov equation in high dimension based on Gaussian analysis. - Alain Jungo, Mauricio Reyes:
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. - Alfred Wassermann:
One-step Majority-logic Decoding with Subspace Designs. - Oliver Knill:
The energy of a simplicial complex. - Alan M. Frieze, Tomasz Tkocz:
A randomly weighted minimum arborescence with a random cost constraint. - Michal Derezinski, Manfred K. Warmuth, Daniel Hsu:
Unbiased estimators for random design regression. - Suiyi Ling, Jing Li, Patrick Le Callet, Junle Wang:
Perceptual representations of structural information in images: application to quality assessment of synthesized view in FTV scenario. - Andreas Nautsch, Jose Patino, Amos Treiber, Themos Stafylakis, Petr Mizera, Massimiliano Todisco, Thomas Schneider, Nicholas W. D. Evans:
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation. - Andreas Nautsch, Catherine Jasserand, Els Kindt, Massimiliano Todisco, Isabel Trancoso, Nicholas W. D. Evans:
The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps towards a Common Understanding. - Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-Frequency Graph Signal Processing. - Marcus Brazil, Charl J. Ras, Doreen A. Thomas, G. Xu:
The 2-connected bottleneck Steiner network problem is NP-hard in any 𝓁p plane. - Ghasem Hajianfar, Isaac Shiri, Hassan Maleki, Niki Oveisi, Abbass Haghparast, Hamid Abdollahi, Mehrdad Oveisi:
Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis. - Sarwar Khan:
DeepAcid: Classification of macromolecule type based on sequences of amino acids. - Ekta U. Samani, Wei Guo, Ashis G. Banerjee:
Deep Learning-Based Semantic Segmentation of Microscale Objects. - Junyu Chen, Eric C. Frey:
Feature-Based Image Clustering and Segmentation Using Wavelets. - Chen Zhao, An Zeng, Chi Ho Yeung:
Characteristics of human mobility patterns revealed by high-frequency cell-phone position data. - Praful D. Mankar, Priyabrata Parida, Harpreet S. Dhillon, Martin Haenggi:
Distance from the Nucleus to a Uniformly Random Point in the Typical and the Crofton Cells of the Poisson-Voronoi Tessellation. - Hyungjun Park, Min Kyu Sim, Dong Gu Choi:
An intelligent financial portfolio trading strategy using deep Q-learning. - Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye:
Robust Guarantees for Perception-Based Control. - Natalia Efremova, Dmitry Zausaev, Gleb Antipov:
Prediction of Soil Moisture Content Based On Satellite Data and Sequence-to-Sequence Networks. - Gustavo Garrigós, Andreas Seeger, Tino Ullrich:
The Haar System in Triebel-Lizorkin Spaces: Endpoint Results. - Ahmed BaniMustafa, Nigel Hardy:
Applications of a Novel Knowledge Discovery and Data Mining Process Model for Metabolomics. - Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen:
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization. - Patryk Najgebauer, Rafal Scherer:
Fully Convolutional Network for Removing DCT Artefacts From Images. - Jose Luis Montiel Olea, Pietro Ortoleva, Mallesh M. Pai, Andrea Prat:
Competing Models. - Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo:
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. - Svitlana M. Alkhimova, Andrii P. Krenevych:
Brain Tissues Segmentation on MR Perfusion Images Using CUSUM Filter for Boundary Pixels. - Rugved Likhite, Aishwaryadev Banerjee, Apratim Majumder, Hanseup Kim, Carlos H. Mastrangelo:
Parametrically Amplified Low-Power MEMS Capacitive Humidity Sensor. - Brennan Klein, Erik Hoel:
Uncertainty and causal emergence in complex networks. - Enes Krijestorac, Samer S. Hanna, Danijela Cabric:
UAV Access Point Placement for Connectivity to a User with Unknown Location Using Deep RL. - Anna Guitart, Ana Fernández del Río, África Periáñez:
Understanding Player Engagement and In-Game Purchasing Behavior with Ensemble Learning. - Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Kenneth Shroyer, Joel H. Saltz:
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. - J. Camacho, Age K. Smilde, Edoardo Saccenti, Johan A. Westerhuis:
All Sparse PCA Models Are Wrong, But Some Are Useful. Part I: Computation of Scores, Residuals and Explained Variance. - Youwei Zeng, Dan Wu, Jie Xiong, Enze Yi, Ruiyang Gao, Daqing Zhang:
FarSense: Pushing the Range Limit of WiFi-based Respiration Sensing with CSI Ratio of Two Antennas. - G. Kashyap, G. Ambika:
Loss of transmission on directed networks due to link deletion. - Nisar R. Ahmed:
Decentralized Gaussian Mixture Fusion through Unified Quotient Approximations. - Nicolas Bonichon, Éric Fusy, Benjamin Lévêque:
A bijection for essentially 3-connected toroidal maps. - Luca Ambrogioni, Umut Güçlü, Marcel van Gerven:
k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport. - Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein:
Deep Probabilistic Modeling of Glioma Growth. - Alexis Bellot, Mihaela van der Schaar:
Conditional Independence Testing using Generative Adversarial Networks. - Justin A. Sirignano, Konstantinos Spiliopoulos:
Scaling Limit of Neural Networks with the Xavier Initialization and Convergence to a Global Minimum. - Aditya Potukuchi:
A spectral bound on hypergraph discrepancy. - Vincent Fortuin, Gunnar Rätsch, Stephan Mandt:
Multivariate Time Series Imputation with Variational Autoencoders. - Lidong Fang, Apala Majumdar, Lei Zhang:
Solution Landscapes in the Landau-de Gennes Theory on Rectangles. - Sergio J. Martínez, Iván M. Mendoza, Genaro Juárez Martínez, Shigeru Ninagawa:
Universal One-Dimensional Cellular Automata Derived for Turing Machines and its Dynamical Behaviour. - Koichi Tojo, Taro Yoshino:
On a method to construct exponential families by representation theory. - Vijay Kumar Neeluru, Vikas Ahuja:
Void region segmentation in ball grid array using u-net approach and synthetic data. - Donald E. Waagen, Katie Rainey, Jamie Gantert, David Gray, Megan King, M. Shane Thompson, Jonathan Barton, Will Waldron, Samantha Livingston, Don Hulsey:
Characterizing Inter-Layer Functional Mappings of Deep Learning Models. - Henry Ernest Baidoo-Williams, Muhammad Mahboob Ur Rahman, Qammer Hussain Abbasi:
Channel Impulse Response-based Source Localization in a Diffusion-based Molecular Communication System. - Xihaier Luo, Ahsan Kareem:
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data. - Pierre Baudot, Monica Tapia, Daniel Bennequin, Jean-Marc Goaillard:
Topological Information Data Analysis. - Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din:
Deep Learning Techniques for Improving Digital Gait Segmentation. - Markus Holzmann, Gerhard Unger:
Boundary integral formulations of eigenvalue problems for elliptic differential operators with singular interactions and their numerical approximation by boundary element methods. - Md. Kamrul Hasan, Lavsen Dahal, Prasad N. Samarakoon, Fakrul Islam Tushar, Robert Martí:
DSNet: Automatic Dermoscopic Skin Lesion Segmentation. - Ahmed BaniMustafa, Nigel Hardy:
Computer-Aided Data Mining: Automating a Novel Knowledge Discovery and Data Mining Process Model for Metabolomics. - Ozan Kahramanogullari:
On Quantitative Comparison of Chemical Reaction Network Models. 14-27 - Francesco Belardo, Sebastian M. Cioaba, Jack H. Koolen, Jianfeng Wang:
Open problems in the spectral theory of signed graphs. - Kenji Kawaguchi, Haihao Lu:
A Stochastic First-Order Method for Ordered Empirical Risk Minimization. - Souradeep Chakraborty:
Deep Reinforcement Learning in Financial Markets. - Nhat Ho, Chiao-Yu Yang, Michael I. Jordan:
Convergence Rates for Gaussian Mixtures of Experts. - Alexander Gary Zimmerman, Julia Kowalski:
Simulating convection-coupled phase-change in enthalpy form with mixed finite elements. - Douglas R. Stinson, Shannon Veitch:
Block-avoiding point sequencings of arbitrary length in Steiner triple systems. - Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong:
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems. - Priyank Jaini, Ivan Kobyzev, Marcus A. Brubaker, Yaoliang Yu:
Tails of Triangular Flows. - Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson:
Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network. - André R. Gonçalves, Xiaoli Liu, Arindam Banerjee:
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence. - Antoine Deleforge, Diego Di Carlo, Martin Strauss, Romain Serizel, Lucio Marcenaro:
Audio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition. - Nicolas Brieu, Armin Meier, Ansh Kapil, Ralf Schönmeyer, Christos G. Gavriel, Peter D. Caie, Günter Schmidt:
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection. - Mohammadreza Chamanbaz, Giuseppe Notarstefano, Francesco Sasso, Roland Bouffanais:
Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. - Donglin Wang, Raja R. Sattiraju, Anjie Qiu, Sanket Partani, Hans D. Schotten:
Methodologies of Link-Level Simulator and System-Level Simulator for C-V2X Communication. - Yunyi Li, Guan Gui, Xiefeng Cheng:
Generalized Rank Minimization based Group Sparse Coding for Low-level Image Restoration via Dictionary Learning. - Yibo Wu, Bile Peng, Henk Wymeersch, Gonzalo Seco-Granados, Anastasios Kakkavas, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher:
Cooperative Localization with Angular Measurements and Posterior Linearization. - Stefan Lendl, Britta Peis, Veerle Timmermans:
Matroid Bases with Cardinality Constraints on the Intersection. - Daniel Korzekwa, Roberto Barra-Chicote, Bozena Kostek, Thomas Drugman, Mateusz Lajszczak:
Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech. - Álvaro García-Cerezo, Luis Baringo, Raquel García-Bertrand:
Robust Transmission Network Expansion Planning Problem Considering Storage Units. - Tong Wu, Yang Gu, Yiqiang Chen, Yunlong Xiao, Jiwei Wang:
A Mobile Cloud Collaboration Fall Detection System Based on Ensemble Learning. - Jun Zhao:
A Survey of Reconfigurable Intelligent Surfaces: Towards 6G Wireless Communication Networks with Massive MIMO 2.0. - Hassan Hmedi, Ari Arapostathis, Guodong Pang:
On uniform stability of certain parallel server networks with no abandonment in the Halfin-Whitt regime. - Ilyes Khemakhem, Diederik P. Kingma, Aapo Hyvärinen:
Variational Autoencoders and Nonlinear ICA: A Unifying Framework. - Hadrien Salat, Zbigniew Smoreda, Markus Schläpfer:
Mobile phone data's potential for informing infrastructure planning in developing countries. - Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati:
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images. - Tian-Hao Li, Muhammad R. A. Khandaker, Faisal Tariq, Kai-Kit Wong, Risala T. Khan:
Learning the Wireless V2I Channels Using Deep Neural Networks. - Jiancong Wang, Yuhua Chen, Yifan Wu, Jianbo Shi, James C. Gee:
Enhanced generative adversarial network for 3D brain MRI super-resolution. - Sylwia Cichacz, Karol Suchan:
Vertex-Fault Tolerant Complete Matching in Bipartite graphs: the Biregular Case. - Robert Beinert, Kristian Bredies:
Tensor-Free Proximal Methods for Lifted Bilinear/Quadratic Inverse Problems with Applications to Phase Retrieval. - Khoi-Nguyen C. Mac, Xiaodong Cui, Wei Zhang, Michael Picheny:
Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition. - Hrushikesh N. Mhaskar:
Super-resolution meets machine learning: approximation of measures. - Pavana Prakash, Ahmed Abdelhadi, Miao Pan:
Secure Authentication of ADS-B Aircraft Communications using Retroactive Key Publication. - Danial Mohammadzadeh S., Seyed-Farzan Kazemi, Amir Mosavi, Ehsan Nasseralshariati, Joseph H. M. Tah:
Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model. - Felix Weninger, Jesús Andrés-Ferrer, Xinwei Li, Puming Zhan:
Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR. - Javier Sanz Aznar, Andreas Wulff-Abramsson, Carlos Aguilar-Paredes, Luis Emilio Bruni, Lydia Sánchez-Gómez:
Synchronizing Audio-Visual Film Stimuli in Unity (version 5.5.1f1): Game Engines as a Tool for Research. - Archit Gupta, Brendan Shillingford, Yannis M. Assael, Thomas C. Walters:
Speech bandwidth extension with WaveNet. - Mohammed Senoussaoui, Patrick Cardinal, Alessandro Lameiras Koerich:
Bag-of-Audio-Words based on Autoencoder Codebook for Continuous Emotion Prediction. - Chieh-Fang Teng, Han-Mo Ou, An-Yeu Wu:
Neural Network-based Equalizer by Utilizing Coding Gain in Advance. - Nitin Jonathan Myers, Jarkko Kaleva, Antti Tölli, Robert W. Heath Jr.:
Message passing-based link configuration in short range millimeter wave systems. - Sheshayya A. Choudum, T. Karthick, Manoj M. Belavadi:
Structural domination and coloring of some (P7, C7)-free graphs. - Daigo Okada, Naotoshi Nakamura, Takuya Wada, Ayako Iwasaki, Ryo Yamada:
Extension of Sinkhorn Method: Optimal Movement Estimation of Agents Moving at Constant Velocity. - Hadeel Elayan, Osama Amin, Basem Shihada, Raed M. Shubair, Mohamed-Slim Alouini:
Terahertz Band: The Last Piece of RF Spectrum Puzzle for Communication Systems. - Tomás M. Coronado, Mareike Fischer, Lina Herbst, Francesc Rosselló, Kristina Wicke:
On the minimum value of the Colless index and the bifurcating trees that achieve it. - Ramy Amer, Walid Saad, Nicola Marchetti:
Towards a Connected Sky: Performance of Beamforming with Down-tilted Antennas for Ground and UAV User Co-existence. - Jiaqing Jiang, Xiaoming Sun, Shang-Hua Teng, Bujiao Wu, Kewen Wu, Jialin Zhang:
Optimal Space-Depth Trade-Off of CNOT Circuits in Quantum Logic Synthesis. - Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala:
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. - Przemyslaw Sadowski:
Machine Learning Kernel Method from a Quantum Generative Model. - Arjun Pankajakshan, Helen L. Bear, Emmanouil Benetos:
Polyphonic Sound Event and Sound Activity Detection: A Multi-task approach. - Ammar Mohammadi, Mansor Nakhkash:
Reversible Data Hiding in Encrypted Images using Local Difference of Neighboring Pixels. - Ammar Mohammadi, Mansour Nakhkash:
Sorting Methods and Adaptive Thresholding for Histogram Based Reversible Data Hiding. - Kanwal K. Bhatia, Mark S. Graham, Louise Terry, Ashley Wood, Paris Tranos, Sameer Trikha, Nicolas Jaccard:
Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data. - Vida Dujmovic, Pat Morin, David R. Wood:
The structure of k-planar graphs. - Shuai Zheng, Zhenfeng Zhu, Jian Cheng, Yandong Guo, Yao Zhao:
Edge Heuristic GAN for Non-uniform Blind Deblurring. - Stephen G. Odaibo:
retina-VAE: Variationally Decoding the Spectrum of Macular Disease. - Nicholas Sterge, Bharath K. Sriperumbudur, Lorenzo Rosasco, Alessandro Rudi:
Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling. - Xiaowei Xu, Tianchen Wang, Dewen Zeng, Yiyu Shi, Qianjun Jia, Haiyun Yuan, Meiping Huang, Jian Zhuang:
Accurate Congenital Heart Disease Model Generation for 3D Printing. - Yaohua Xie:
Improving the resolution of microscope by deconvolution after dense scan. - Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier:
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting. - Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
Adaptive Deep Learning for High Dimensional Hamilton-Jacobi-Bellman Equations. - Jakob Ameres:
Splitting methods for Fourier spectral discretizations of the strongly magnetized Vlasov-Poisson and the Vlasov-Maxwell system. - Andrew D. McRae, Mark A. Davenport:
Low-rank matrix completion and denoising under Poisson noise. - Musa Tunç Arslan, Onur Yorulmaz, Erdinç L. Atilgan:
Optimized Sharing of Coefficients in Parallel Filter Banks. - Gianluca Truda, Patrick C. Marais:
Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework. - Robert Amelard, Kevin R. Murray, Eric T. Hedge, Taylor W. Cleworth, Mamiko Noguchi, Andrew Laing, Richard Lee Hughson:
Assessing postural instability during cerebral hypoperfusion using sub-millimeter monocular 3D sway tracking. - Malte Londschien, Solt Kovács, Peter Bühlmann:
Change point detection for graphical models in presence of missing values. - Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, Masoud Mohseni:
Learning to learn with quantum neural networks via classical neural networks. - Jurai Kardos, Drosos Kourounis, Olaf Schenk:
Structure Exploiting Interior Point Methods. - Swapnil Shinde, Jukka Ranta, Paul Deitrick, Matthew Malloy:
Scalable Panel Fusion Using Distributed Min Cost Flow. - Martin Redmann:
An L2T-error bound for time-limited balanced truncation. - Marcos Cardinot, Colm O'Riordan, Josephine Griffith, Attila Szolnoki:
Mobility restores the mechanism which supports cooperation in the voluntary prisoner's dilemma game. - Shuang Li, Gongguo Tang, Michael B. Wakin:
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. - Ang Li, Danilo Spano, Jevgenij Krivochiza, Stavros G. Domouchtsidis, Christos G. Tsinos, Christos Masouros, Symeon Chatzinotas, Yonghui Li, Branka Vucetic, Björn E. Ottersten:
Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions. - Xueyan Ding, Yafei Wang, Yang Yan, Zheng Liang, Zetian Mi, Xianping Fu:
Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images. - Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao:
Coupled-Projection Residual Network for MRI Super-Resolution. - Tianyu Zhao, Tatsuya Kawahara:
Effective Incorporation of Speaker Information in Utterance Encoding in Dialog. - Simon Coste, Yizhe Zhu:
Eigenvalues of the non-backtracking operator detached from the bulk. - Mejdi Azaïez, Tomás Chacón Rebollo, Samuele Rubino:
A cure for instabilities due to advection-dominance in POD solution to advection-diffusion-reaction equations. - Fernando Hernando, Gary McGuire, Francisco Monserrat, Julio José Moyano-Fernández:
Quantum codes from a new construction of self-orthogonal algebraic geometry codes. - Apdullah Yayik, Yakup Kutlu, Gökhan Altan:
Deep Learning with ConvNET Predicts Imagery Tasks Through EEG. - M. Sibgath Ali Khan, SaiDhiraj Amuru, Kiran Kuchi:
Low PAPR Reference Signal Transceiver Design for 3GPP 5G NR Uplink. - J. M. Calabuig, Hervé Falciani, Enrique Alfonso Sánchez-Pérez:
Dreaming machine learning: Lipschitz extensions for reinforcement learning on financial markets. - Zhao You, Dan Su, Dong Yu:
Teach an all-rounder with experts in different domains. - Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang:
Efficient Uncertainty Modeling for System Design via Mixed Integer Programming. - Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny:
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition. - Sudhir K. Routray, Susanta K. Sarangi, Abhishek Javali:
Smart Cities: The Hopes and Hypes. - Diego Perna, Andrea Tagarelli:
Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks. - Niclas Kath, Heinz Handels, André Mastmeyer:
Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations. - Sam Allison, He Bai, Balaji Jayaraman:
Wind Estimation Using Quadcopter Motion: A Machine Learning Approach. - Václav Kosík, Stepán Starosta:
On substitutions closed under derivation: examples. - Furqan Jameel, Wali Ullah Khan, Zheng Chang, Tapani Ristaniemi, Ju Liu:
Secrecy Analysis and Learning-based Optimization of Cooperative NOMA SWIPT Systems. - Andrea Lodi, Luca Mossina, Emmanuel Rachelson:
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location. - Mathurin Massias, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon:
Dual Extrapolation for Sparse Generalized Linear Models. - Sudeep Kundu, Amiya Kumar Pani:
Global Stabilization of 2D Forced Viscous Burgers' Equation Around Nonconstant Steady State Solution by Nonlinear Neumann Boundary Feedback Control: Theory and Finite Element Analysis. - Jonathan Lenchner:
On a Generalization of the Marriage Problem. - Pavol Harár, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smékal:
Voice Pathology Detection Using Deep Learning: a Preliminary Study. - Prashant Kumar, Kushal Sinha, Nandkishor Nere, Yujin Shin, Raimundo Ho, Ahmad Sheikh, Laurie Mlinar:
A machine learning framework for computationally expensive transient models. - Elliot Krop, Jessica McDonald, Gregory J. Puleo:
Upper bounds for inverse domination in graphs. - Mark Magsino, Dustin G. Mixon, Hans Parshall:
Linear programming bounds for cliques in Paley graphs. - René Carmona, Mathieu Laurière:
Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: I - The Ergodic Case. - Greg Kuperberg, Eric Samperton:
Coloring invariants of knots and links are often intractable. - Hélio M. de Oliveira, Victor Vermehren Valenzuela:
ND-Wavelets Derived from Anti-symmetric Systems of Isolated Particles using the Determinant of Slater. - Peter Y. Lu, Samuel Kim, Marin Soljacic:
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning. - Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Zhengqi Wen:
Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition. - Antonin Chambolle, Matteo Novaga, Valerio Pagliari:
On the convergence rate of some nonlocal energies. - Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
k-hop Graph Neural Networks. - Simo Särkkä:
The Use of Gaussian Processes in System Identification. - Lei Zhang, Weihai Chen, Chao Hu:
S&CNet: A Enhanced Coarse-to-fine Framework For Monocular Depth Completion. - Felix Frey, Johannes K. Fischer, Robert F. H. Fischer:
On Discrete-Time/Frequency-Periodic End-to-End Fiber-Optical Channel Models. - Nooshin Maghsoodi, Hossein Sameti, Hossein Zeinali, Themos Stafylakis:
Speaker Recognition with Random Digit Strings Using Uncertainty Normalized HMM-based i-vectors. - Hossein Zeinali, Pavel Matejka, Ladislav Mosner, Oldrich Plchot, Anna Silnova, Ondrej Novotný, Ján Profant, Ondrej Glembek, Lukás Burget:
BUT VOiCES 2019 System Description. - Yunhan Huang, Veeraruna Kavitha, Quanyan Zhu:
Continuous-Time Markov Decision Processes with Controlled Observations. - Adnan Quadri, Huacheng Zeng, Y. Thomas Hou:
A Real-Time mmWave Communication Testbed with Phase Noise Cancellation. - Igor V. Bychkov, Julia Y. Dubenskaya, Elena Korosteleva, Alexander P. Kryukov, Andrey A. Mikhailov, Minh-Duc Nguyen, Alexey O. Shigarov:
Metadata Extraction from Raw Astroparticle Data of TAIGA Experiment. - Angela Sara Cacciapuoti, Marcello Caleffi, Rodney Van Meter, Lajos Hanzo:
When Entanglement meets Classical Communications: Quantum Teleportation for the Quantum Internet (Invited Paper). - Satoshi Hayashi, Naoki Tsuge:
Necessary and sufficient condition for equilibrium of the Hotelling model. - Toshiyuki Nakayama, Stefan Tappe:
Wong-Zakai approximations with convergence rate for stochastic partial differential equations. - Martin Kroll:
Pointwise adaptive kernel density estimation under local approximate differential privacy. - Joshua E. G. Peek, Vandana Desai, Richard L. White, Raffaele D'Abrusco, Joseph M. Mazzarella, Carolyn Grant, Jenny L. Novacescu, Elena Scire, Sherry L. Winkelman:
Robust Archives Maximize Scientific Accessibility. - Karmina Kamal Ali, Resat Yilmazer, Samad Noeiaghdam:
Wave solutions of Gilson-Pickering equation. - Lasse Bjørn Kristensen, Matthias Degroote, Peter Wittek, Alán Aspuru-Guzik, Nikolaj Thomas Zinner:
An Artificial Spiking Quantum Neuron. - Viktor Tóth, Lauri Parkkonen:
Autoencoding sensory substitution. - Xin Wang, Mark M. Wilde:
Resource theory of asymmetric distinguishability for quantum channels. - Sophie Wharrie, Lamiae Azizi, Eduardo G. Altmann:
Micro, Meso, Macro: the effect of triangles on communities in networks. - Jiangdong Ai, Stefanie Gerke, Gregory Z. Gutin, Yongtang Shi, Zhenyu Taoqiu:
Proper Orientation Number of Triangle-free Bridgeless Outerplanar Graphs. - Cyrille Chenavier:
Topological rewriting systems applied to standard bases and syntactic algebras. - Silvia Chiappa, William S. Isaac:
A Causal Bayesian Networks Viewpoint on Fairness. - Gabriel Michau, Olga Fink:
Unsupervised Fault Detection in Varying Operating Conditions. - Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images. - Sophia Bano, Francisco Vasconcelos, Marcel Tella-Amo, George Dwyer, Caspar Gruijthuijsen, Jan Deprest, Sébastien Ourselin, Emmanuel B. Vander Poorten, Tom Vercauteren, Danail Stoyanov:
Deep Sequential Mosaicking of Fetoscopic Videos. - Wenhao Li, Ningyuan Chen, L. Jeff Hong:
A Dimension-free Algorithm for Contextual Continuum-armed Bandits. - Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszar, Steven Yoo, Wenzhe Shi:
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction. - Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian Zhang, Mohammad Akbari, Jie Liang, Chengjie Tu:
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs. - Fredy Vides:
On Cyclic Finite-State Approximation of Data-Driven Systems. - Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili:
Low-power All-analog Circuit for Rectangular-type Analog Joint Source Channel Coding. - Egor S. Tiunov, V. V. Tiunova, Alexander E. Ulanov, A. I. Lvovsky, Aleksey K. Fedorov:
Experimental quantum homodyne tomography via machine learning. - Fangyao Lu, Qianqian Wang, Tao Wang:
Cover and variable degeneracy. - Hangting Chen, Zuozhen Liu, Zongming Liu, Pengyuan Zhang, Yonghong Yan:
Integrating the Data Augmentation Scheme with Various Classifiers for Acoustic Scene Modeling. - Magnus Wiese, Robert Knobloch, Ralf Korn, Peter Kretschmer:
Quant GANs: Deep Generation of Financial Time Series. - Tarek Ahmed-Ali, Iasson Karafyllis, Fouad Giri:
Sampled-Data Observers for Delay Systems and Hyperbolic PDE-ODE Loops. - Tairan Liu, Zhensong Wei, Yair Rivenson, Kevin de Haan, Yibo Zhang, Yichen Wu, Aydogan Ozcan:
Deep learning-based color holographic microscopy. - Gabriel Loaiza-Ganem, John P. Cunningham:
The continuous Bernoulli: fixing a pervasive error in variational autoencoders. - Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang:
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. - Kunal Dhawan, Colin Vaz, Ruchir Travadi, Shrikanth S. Narayanan:
Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features. - Nicolas Gillis, Punit Sharma:
Minimal-norm static feedbacks using dissipative Hamiltonian matrices. - Riccardo Mengoni, Alessandra Di Pierro, Laleh Memarzadeh, Stefano Mancini:
Persistent homology analysis of multiqubit entanglement. - John M. O'Toole, Geraldine B. Boylan:
Machine learning without a feature set for detecting bursts in the EEG of preterm infants. - Guangxi Li, Youle Wang, Yu Luo, Yuan Feng:
Quantum Data Fitting Algorithm for Non-sparse Matrices. - (Withdrawn) Abstract categorial grammars with island constraints and effective decidability.
- Álvaro García-Cerezo, Luis Baringo:
Representative Days for Expansion Decisions in Power Systems. - Bao Tuyen Huynh, Faicel Chamroukhi:
Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models. - Aaron Bowers, Shelby Rauh, Drayton Rorah, Daniel Tritz, Lance Frye, Matt Vassar:
Evaluating the Reproducibility of Research in Obstetrics and Gynecology. - Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. - Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. - Evan Piermont:
Unforeseen Evidence. - Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti:
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. - Luis Natera, Federico Battiston, Gerardo Iñiguez, Michael Szell:
Data-driven strategies for optimal bicycle network growth. - Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge. - Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi:
Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning. - Zainab Alalawi, The Anh Han, Yifeng Zeng, Aiman Elragig:
Pathways to Good Healthcare Services and Patient Satisfaction: An Evolutionary Game Theoretical Approach. - Rui Li, Tao Wang:
Variable degeneracy on toroidal graphs. - Martin Slawski, Emanuel Ben-David, Ping Li:
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. - Radhakrishnan Nagarajan:
Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks. - Ibrahim Al-Nahhal, Octavia A. Dobre, Ertugrul Basar, Salama Ikki:
Low-Cost Uplink Sparse Code Multiple Access for Spatial Modulation. - Olivier Guédon, Felix Krahmer, Christian Kümmerle, Shahar Mendelson, Holger Rauhut:
On the geometry of polytopes generated by heavy-tailed random vectors. - Sebastián González Hermosillo de la Maza, Pavol Hell, César Hernández-Cruz, Seyyed Aliasghar Hosseini, Payam Valadkhan:
Vertex arboricity of cographs. - Dimitris Bertsimas, Christopher McCord, Bradley Sturt:
Dynamic optimization with side information. - Shaofu Xu, Rui Wang, Jianping Chen, Lei Yu, Weiwen Zou:
Deep learning scheme for microwave photonic analog broadband signal recovery. - Ziyu Ye, Andrew Gilman, Qihang Peng, Kelly Levick, Pamela C. Cosman, Larry B. Milstein:
Comparison of Neural Network Architectures for Spectrum Sensing. - André Gooßen, Hrishikesh Deshpande, Tim Harder, Evan Schwab, Ivo M. Baltruschat, Thusitha De Silva Mabotuwana, Nathan M. Cross, Axel Saalbach:
Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs. - Thomas Ferreira de Lima, Alexander N. Tait, Hooman Saeidi, Mitchell A. Nahmias, Hsuan-Tung Peng, Siamak Abbaslou, Bhavin J. Shastri, Paul R. Prucnal:
Noise Analysis of Photonic Modulator Neurons. - Ziyu Ye, Qihang Peng, Kelly Levick, Hui Rong, Andrew Gilman, Pamela C. Cosman, Larry B. Milstein:
A Neural Network Detector for Spectrum Sensing under Uncertainties. - Reinhard Diestel:
Tangles in the social sciences. - Xiaomin Wang, Fei Ma:
Constructions and properties of a class of random scale-free networks. - Henk Wymeersch:
Near-Field Joint Localization and Synchronization. - Marcello Caleffi, Angela Sara Cacciapuoti:
Quantum Switch for the Quantum Internet: Noiseless Communications through Noisy Channels. - Zhiqi Bu, Jason M. Klusowski, Cynthia Rush, Weijie J. Su:
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing. - Fulvio Flamini, Arne Hamann, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel:
Photonic architecture for reinforcement learning. - Peter Cotton:
Self Organizing Supply Chains for Micro-Prediction: Present and Future uses of the ROAR Protocol. - Themistoklis P. Sapsis:
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples. - Carlo Baldassi, Enrico M. Malatesta, Riccardo Zecchina:
On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations. - Renjie Chen, Jingyue Zhang, Nalini Ravishanker, Karthik Konduri:
Clustering Activity-Travel Behavior Time Series using Topological Data Analysis. - Zhiyuan Tang, Dong Wang, Liming Song:
AP19-OLR Challenge: Three Tasks and Their Baselines. - Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, Ulas Bagci:
Electroencephalography based Classification of Long-term Stress using Psychological Labeling. - Yaxi Yan, Changjian Guo, Xiong Wu, Ziqi Lin, Xian Zhou, Faisal Nadeem Khan, Alan Pak Tao Lau, Chao Lu:
Distributed vibration sensing based on forward transmission and coherent detection. - Evi Kopelowitz, Guy Engelhard:
Lung Nodules Detection and Segmentation Using 3D Mask-RCNN. - Hongying Liu, Xiongjie Shen, Fanhua Shang, Fei Wang:
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. - Xin J. Hunt, Ralph Abbey, Ricky Tharrington, Joost Huiskens, Nina Wesdorp:
An AI-Augmented Lesion Detection Framework For Liver Metastases With Model Interpretability. - Felix Huber, Markus Grassl:
Quantum Codes of Maximal Distance and Highly Entangled Subspaces. - Khaled Elmadawi, Moemen Abdelrazek, Mohamed Elsobky, Hesham M. Eraqi, Mohamed Zahran:
End-to-end sensor modeling for LiDAR Point Cloud. - Praveen Narayanan, Punarjay Chakravarty, François Charette, Gint Puskorius:
Hierarchical Sequence to Sequence Voice Conversion with Limited Data. - Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland:
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. - Sheng Zhang, Guang Lin:
Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data. - Oswin Aichholzer, Frank Duque, Ruy Fabila Monroy, Carlos Hidalgo-Toscano, Oscar E. García-Quintero:
An Ongoing Project to Improve the Rectilinear and the Pseudolinear Crossing Constants. - Martin Stoll, Max Winkler:
Optimization of a partial differential equation on a complex network. - Yunzhe Xue, Meiyan Xie, Fadi G. Farhat, Olga Boukrina, A. M. Barrett, Jeffrey R. Binder, Usman W. Roshan, William W. Graves:
A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images. - Rupert Hölzl, Christopher P. Porter:
Degrees of Randomized Computability. - Lei Shi, Qaiser Khan, Gautam Srivastava, Jin-Lin Liu, Muhammad Arif:
A study of multivalent q-starlike functions connected with circular domain. - Hui Ye, Xiaopeng Ma, Qingfeng Pan, Huaqiang Fang, Hang Xiang, Tongzhen Shao:
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series. - Emanuele Grossi, Marco Lops, Luca Venturino:
Joint Design of surveillance radar and MIMO communication in cluttered environments. - Mohammad Eslami, Christiane Neuschaefer-Rube, Antoine Serrurier:
Automatic vocal tract landmark localization from midsagittal MRI data. - Beka Dalakishvili, Ana Mikatadze:
Powershare Mechanics. - Wouter Bulten, Hans Pinckaers, Hester van Boven, Robert Vink, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina A. Hulsbergen van de Kaa, Geert Litjens:
Automated Gleason Grading of Prostate Biopsies using Deep Learning. - Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes, Carlos Matrán, Agustín Mayo-Íscar:
optimalFlow: Optimal-transport approach to flow cytometry gating and population matching. - Axel Dahlberg, Jonas Helsen, Stephanie Wehner:
Transforming graph states to Bell-pairs is NP-Complete. - Aleksei Tiulpin, Simo Saarakkala:
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks. - Axel Dahlberg, Jonas Helsen, Stephanie Wehner:
Counting single-qubit Clifford equivalent graph states is #P-Complete. - Omri Ben-Eliezer, Lior Gishboliner, Dan Hefetz, Michael Krivelevich:
Very fast construction of bounded-degree spanning graphs via the semi-random graph process. - Adam Golinski, Frank Wood, Tom Rainforth:
Amortized Monte Carlo Integration. - Yoshihiro Hirose:
Least Angle Regression in Tangent Space and LASSO for Generalized Linear Model. - Giuseppe Marino, Maria Montanucci, Ferdinando Zullo:
MRD-codes arising from the trinomial xq+xq3+cxq5⊕Fq6[x]. - Ehud Karavani, Peter Bak, Yishai Shimoni:
A discriminative approach for finding and characterizing positivity violations using decision trees. - Zafiirah Hosenie, Robert J. Lyon, Benjamin W. Stappers, Arrykrishna Mootoovaloo:
Comparing Multi-class, Binary and Hierarchical Machine Learning Classification schemes for variable stars. - Kevin Raina, Uladzimir Yahorau, Tanya Schmah:
Exploiting bilateral symmetry in brain lesion segmentation. - Jun Lan, Liwei Wang, Xiaowei Zhang, Xiaozhou Liu, Minghui Lu:
Acoustic Multifunctional Logic Gates and Amplifier based on Parity-Time Symmetry. - Kunal Dhawan, Ganji Sreeram, Kumar Priyadarshi, Rohit Sinha:
Investigating Target Set Reduction for End-to-End Speech Recognition of Hindi-English Code-Switching Data. - Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari:
DNN-based Speaker Embedding Using Subjective Inter-speaker Similarity for Multi-speaker Modeling in Speech Synthesis. - Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball:
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. - Yash Patel, Srikar Appalaraju, R. Manmatha:
Deep Perceptual Compression. - Lukas Einkemmer:
Semi-Lagrangian Vlasov simulation on GPUs. - Sergei V. Fotin, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves:
A multiscale Laplacian of Gaussian (LoG) filtering approach to pulmonary nodule detection from whole-lung CT scans. - Marcel Jackson, Tim Stokes:
Override and update. - Yuma Koizumi, Shoichiro Saito, Masataka Yamaguchi, Shin Murata, Noboru Harada:
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds. - Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. - Konrad J. Swanepoel:
Favourite distances in 3-space. - Rajiv Khanna, Michael W. Mahoney:
On Linear Convergence of Weighted Kernel Herding. - Jiawei Chang, Terry J. Lyons:
Insertion algorithm for inverting the signature of a path. - Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Deep Graph-Convolutional Image Denoising. - Abdelhamid Salem, Christos Masouros, Bruno Clerckx:
Rate Splitting with Finite Constellations: The Benefits of Interference Exploitation vs Suppression. - Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock:
An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. - Varadarajan Rengaraj, Michael Lass, Christian Plessl, Thomas D. Kühne:
Accurate Sampling with Noisy Forces from Approximate Computing. - David Abramian, Anders Eklund:
Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN. - Francesco Buscemi, David Sutter, Marco Tomamichel:
An information-theoretic treatment of quantum dichotomies. - Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo:
Universality and individuality in neural dynamics across large populations of recurrent networks. - Brianna Sorenson, Jonathan P. Sorenson, Jonathan E. Webster:
An Algorithm and Estimates for the Erdős-Selfridge Function (work in progress). - Alberto Dennunzio, Enrico Formenti, Darij Grinberg, Luciano Margara:
Integrality of matrices, finiteness of matrix semigroups, and dynamics of linear cellular automata. - Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation. - Luca Biferale, Fabio Bonaccorso, Michele Buzzicotti, Patricio Clark Di Leoni, Kristian Gustavsson:
Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning. - Houman Owhadi, Clint Scovel, Gene Ryan Yoo:
Kernel Mode Decomposition and programmable/interpretable regression networks. - Mathieu Besançon, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, Theodore Papamarkou, John Pearson:
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem. - M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. - Alexis Arnaudon, Robert L. Peach, Mauricio Barahona:
Graph centrality is a question of scale. - Dana Yang, John Lafferty, David Pollard:
Fair quantile regression. - Ganlin Song, Zhou Fan, John Lafferty:
Surfing: Iterative optimization over incrementally trained deep networks. - Mohammad Hadi Mehdizavareh, Sobhan Hemati, Hamid Soltanian-Zadeh:
Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIs. - Mehmet Emin Aktas, Esra Akbas, Ahmed El Fatmaoui:
Persistence Homology of Networks: Methods and Applications. - Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka:
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. - Taehee Lee, Lorraine E. Lisiecki, Devin Rand, Geoffrey Gebbie, Charles E. Lawrence:
Dual Proxy Gaussian Process Stack: Integrating Benthic δ18𝕆 and Radiocarbon Proxies for Inferring Ages on Ocean Sediment Cores. - Qiang Li, Jin Lei, Jingran Lin, Xiaoxiao Wu:
Latency Minimization for Multiuser Computation Offloading in Fog-Radio Access Networks. - Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian:
A Retina-inspired Sampling Method for Visual Texture Reconstruction. - Amadeus Maes, Mauricio Barahona, Claudia Clopath:
Learning spatiotemporal signals using a recurrent spiking network that discretizes time. - Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura:
Distributed Global Optimization by Annealing. - Jiabao Yu, Aiqun Hu, Fen Zhou, Yuexiu Xing, Yi Yu, Guyue Li, Linning Peng:
Radio Frequency Fingerprint Identification Based on Denoising Autoencoders. - Irfan Caner Kaya, Firdevs Ulus:
An Iterative Vertex Enumeration Method for Objective Space Based Multiobjective Optimization Algorithms. - Renato Pagliara, Naomi Ehrich Leonard:
Adaptive Susceptibility and Heterogeneity in Contagion Models on Networks. - Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu:
Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model. - Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu:
Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality. - Changkun Wei, Jiaqing Yang, Bo Zhang:
Convergence analysis of the PML method for time-domain electromagnetic scattering problems. - Yuta Hiasa, Yoshito Otake, Masaki Takao, Takeshi Ogawa, Nobuhiko Sugano, Yoshinobu Sato:
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model. - Edward W. S. Fry, Sophie Triantaphillidou, Robin B. Jenkin, John R. Jarvis, Ralph E. Jacobson:
Validation of Modulation Transfer Functions and Noise Power Spectra from Natural Scenes. - Edward W. S. Fry, Sophie Triantaphillidou, Robin B. Jenkin, Ralph E. Jacobson, John R. Jarvis:
Scene-and-Process-Dependent Spatial Image Quality Metrics. - Yi-Chiao Wu, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Statistical Voice Conversion with Quasi-Periodic WaveNet Vocoder. - Xin Shi:
Short-term Electric Load Forecasting Using TensorFlow and Deep Auto-Encoders. - Hongyi Zhou, Kefan Lv, Longbo Huang, Xiongfeng Ma:
Security assessment and key management in a quantum network. - Sandeep Kumar, Ketan Rajawat, Daniel P. Palomar:
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I. - Jonas Rothfuss, Fábio Ferreira, Simon Boehm, Simon Walther, Maxim Ulrich, Tamim Asfour, Andreas Krause:
Noise Regularization for Conditional Density Estimation. - Yibin Zheng, Xi Wang, Lei He, Shifeng Pan, Frank K. Soong, Zhengqi Wen, Jianhua Tao:
Forward-Backward Decoding for Regularizing End-to-End TTS. - Brian d'Alessandro, Cathy O'Neil, Tom LaGatta:
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification. - Nikolai Krivulin:
Tropical optimization technique in bi-objective project scheduling under temporal constraints. - Evan Rosenman:
Some New Results for Poisson Binomial Models. - Andrew H. Song, Francisco J. Flores, Demba E. Ba:
Fast Convolutional Dictionary Learning off the Grid. - Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson:
Accelerating Experimental Design by Incorporating Experimenter Hunches. - Zhen Li, Eric B. Laber:
Convergence Rates of Posterior Distributions in Markov Decision Process. - Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo:
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment. - Yourui Huangfu, Jian Wang, Chen Xu, Rong Li, Yiqun Ge, Xianbin Wang, Huazi Zhang, Jun Wang:
Realistic Channel Models Pre-training. - Dominique Fourer, François Auger:
Second-order Time-Reassigned Synchrosqueezing Transform: Application to Draupner Wave Analysis. - Lasitha Piyathilaka, Basura Sooriyaarachchi, Sarath Kodagoda, Karthick Thiyagarajan:
Capacitive Sensor Based 2D Subsurface Imaging Technology for Non Destructive Evaluation of Building Surfaces. - Adithya M. Devraj, Jianshu Chen:
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. - Binbin Yang, Weiwei Zhang:
FD-FCN: 3D Fully Dense and Fully Convolutional Network for Semantic Segmentation of Brain Anatomy. - Gabriel Michau, Olga Fink:
Fully Unsupervised Feature Alignment for Critical System Health Monitoring with Varied Operating Conditions. - Yaron Laufer, Bracha Laufer-Goldshtein, Sharon Gannot:
ML Estimation and CRBs for Reverberation, Speech and Noise PSDs in Rank-Deficient Noise-Field. - Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Löffler, Jan S. Kirschke, Bjoern H. Menze:
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. - Kai Brehmer, Benjamin Wacker, Jan Modersitzki:
Simultaneous Registration of Image Sequences - a novel singular value based images similarity measure. - Edgar R. Arce Santana, Alfonso Alba, Martín O. Méndez, Valdemar Arce-Guevara:
A-Phase classification using convolutional neural networks. - B. U. V. Prashanth, Mohammed Riyaz Ahmed:
Artificial Neural Network Algorithm based Skyrmion Material Design of Chiral Crystals. - Qing-Hu Hou, Yan-Ping Mu, Doron Zeilberger:
Polynomial Reduction and Super Congruences. - Ronald de Wolf:
Quantum Computing: Lecture Notes. - Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert:
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations. - Adamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Mid-price Prediction Based on Machine Learning Methods with Technical and Quantitative Indicators. - Simone Gelmini, Giulio Panzani, Sergio M. Savaresi:
Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach. - Muthucumaru Maheswaran, Tianzi Yang, Salman Memon:
A Fog Computing Framework for Autonomous Driving Assist: Architecture, Experiments, and Challenges. - Abdallah A. Chehade, Ala A. Hussein:
Latent Function Decomposition for Forecasting Li-ion Battery Cells Capacity: A Multi-Output Convolved Gaussian Process Approach. - Mahdi Ranjbar Zefreh, Pierluigi Poggiolini:
A GN-model closed-form formula considering coherency terms in the Link function and covering all possible islands in 2-D GN integration. - Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot:
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. - Pauli Pihajoki, Matias Mannerkoski, Peter H. Johansson:
Barycentric interpolation on Riemannian and semi-Riemannian spaces. - Keming Zhang, Joshua S. Bloom:
deepCR: Cosmic Ray Rejection with Deep Learning. - Abilash Thakallapelli, Sudipta Ghosh, Sukumar Kamalasadan:
Development and Applicability of Online Passivity Enforced Wide-Band Multi-Port Equivalents For Hybrid Transient Simulation. - Osama Zwaid Alsulami, Amal A. Alahmadi, Sarah O. M. Saeed, Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Mohammed T. Alresheedi, Jaafar M. H. Elmirghani:
Networking and processing in optical wireless. - Damek Davis, Dmitriy Drusvyatskiy, Vasileios Charisopoulos:
Stochastic algorithms with geometric step decay converge linearly on sharp functions. - Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama:
Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs. - Harbir Antil, Zichao Wendy Di, Ratna Khatri:
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography. - Andrey Grunin:
Political network of central power agents: case of missi dominici. - Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh:
Analysis of Quantum Approximate Optimization Algorithm under Realistic Noise in Superconducting Qubits. - Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin:
Off-policy Learning for Multiple Loggers. - Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou:
Heavy-ball Algorithms Always Escape Saddle Points. - Changkun Wei, Jiaqing Yang, Bo Zhang:
Convergence of the perfectly matched layer method for transient acoustic-elastic interaction above an unbounded rough surface. - Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang:
Node Attribute Generation on Graphs. - Takeshi Ise, Yurika Oba:
VARENN: Graphical representation of spatiotemporal data and application to climate studies. - Oleksandr Teplytskyi, Illia O. Teplytskyi, Serhiy Semerikov, Vladimir N. Soloviev:
Training future teachers in natural sciences and mathematics by means of computer simulation: a social constructivist approach. - Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann, Jan Modersitzki:
Variational Registration of Multiple Images with the SVD based SqN Distance Measure. - Kai Brehmer, Benjamin Wacker, Jan Modersitzki:
A Novel Similarity Measure for Image Sequences. - Nicolas Berkouk, Grégory Ginot, Steve Oudot:
Level-sets persistence and sheaf theory. - Nishchal R. Dwivedi:
Trees and Islands - Machine learning approach to nuclear physics. - Ho Chit Siu, Victor Pankratius:
Genetic Algorithms for Starshade Retargeting in Space-Based Telescopes. - Baldwin Nsonga, Gerik Scheuermann, Stefan Gumhold, Jordi Ventosa-Molina, Denis Koschichow, Jochen Fröhlich:
Analysis of the Near-Wall Flow in a Turbine Cascade by Splat Visualization. - Shuo-An Huang, Chia-Hsiang Yang:
A Hardware-Efficient ADMM-Based SVM Training Algorithm for Edge Computing. - Antonin Delpeuch:
The word problem for double categories. - Mingjin Wang, Feifei Gao, Shi Jin, Hai Lin:
An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques. - Rui Zhang, Peng Cheng, Zhuo Chen, Yonghui Li, Branka Vucetic:
A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels. - Hongming Shan, Ge Wang, Yang Yang:
Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach. - Sune Lehmann:
Fundamental Structures in Dynamic Communication Networks. - Lydia Neary-Zajiczek, Clara Essmann, Neil Clancy, Aiman Haider, Elena Miranda, Michael J. Shaw, Amir Gander, Brian R. Davidson, Delmiro Fernandez-Reyes, Vijay Pawar, Danail Stoyanov:
Whole-Sample Mapping of Cancerous and Benign Tissue Properties. - Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert:
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. - Dhruv Patel, Assad A. Oberai:
Bayesian Inference with Generative Adversarial Network Priors. - Laura Merker, Torsten Ueckerdt:
Local and Union Page Numbers. - Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li:
Direct Quantification for Coronary Artery Stenosis Using Multiview Learning. - Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert:
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction. - Alex Cole, Andreas Schachner, Gary Shiu:
Searching the Landscape of Flux Vacua with Genetic Algorithms. - Benjamin Heymann, Alejandro Jofré:
Optimal auctions for networked markets with externalities. - Siddhant Sahu, Manoj Kumar Lenka, Pankaj Kumar Sa:
Blind Deblurring using Deep Learning: A Survey. - Marie Kloenne, Sebastian Niehaus, Leonie Lampe, Alberto Merola, Janis Reinelt, Nico Scherf:
Convolutional neural network stacking for medical image segmentation in CT scans. - Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai:
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. - Robert Hurt, Ryan Wyatt, Mark Subbarao, Kimberly K. Arcand, Jacqueline K. Faherty, Janice Lee, Brandon Lawton:
Making the Case for Visualization. - Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder. - Jian Zhu, Will Styler, Ian Calloway:
A CNN-based tool for automatic tongue contour tracking in ultrasound images. - Qi Zhang, Huafeng Wang, Sichen Yang:
Image Super-Resolution Using a Wavelet-based Generative Adversarial Network. - Quan-Lin Li, Jing-Yu Ma, Rui-Na Fan, Li Xia:
An Overview for Markov Decision Processes in Queues and Networks. - Linar Mikeev, Werner Sandmann:
Approximate Numerical Integration of the Chemical Master Equation for Stochastic Reaction Networks. - Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound. - Abilash Thakallapelli, Sudipta Ghosh, Sukumar Kamalasadan:
Real-time frequency based reduced order modeling of large power grid. - Shi-Ju Ran, Zheng-Zhi Sun, Shao-Ming Fei, Gang Su, Maciej Lewenstein:
Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning. - Ricardo J. Araújo, Vera Garrido, Catarina A. Baraças, Maria A. Vasconcelos, Carlos Mavioso, João C. Anacleto, Maria João Cardoso, Hélder P. Oliveira:
Computer Aided Detection of Deep Inferior Epigastric Perforators in Computed Tomography Angiography scans. - Frank M. V. Feys, Helle Hvid Hansen:
Arrow's Theorem Through a Fixpoint Argument. 175-188 - Brett McLean:
Free Kleene algebras with domain. - Qingjian Lin, Ruiqing Yin, Ming Li, Hervé Bredin, Claude Barras:
LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization. - Antoine Blanchard, Themistoklis P. Sapsis:
Machine Learning the Tangent Space of Dynamical Instabilities from Data. - Aimon Rahman, Hasib Zunair, M. Sohel Rahman, Jesia Quader Yuki, Sabyasachi Biswas, Md. Ashraful Alam, Nabila Binte Alam, M. R. C. Mahdy:
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks. - Po-Yu Kao, Jefferson W. Chen, B. S. Manjunath:
Predicting Clinical Outcome of Stroke Patients with Tractographic Feature. - Amirhossein Hajavi, Ali Etemad:
A Deep Neural Network for Short-Segment Speaker Recognition. - Florian Kordon, Peter Fischer, Maxim Privalov, Benedict Swartman, Marc Schnetzke, Jochen Franke, Ruxandra Lasowski, Andreas K. Maier, Holger Kunze:
Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery. - Axel Finke, Alexandre H. Thiéry:
On the relationship between variational inference and adaptive importance sampling. - Evgeny Postnikov, Alexander P. Kryukov, Stanislav Polyakov, Dmitry P. Zhurov:
Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy. - Anti Ingel, Ilya Kuzovkin, Raul Vicente:
Direct information transfer rate optimisation for SSVEP-based BCI. - Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic:
BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks. - Damian Pascual, Amir Aminifar, David Atienza, Philippe Ryvlin, Roger Wattenhofer:
Synthetic Epileptic Brain Activities Using Generative Adversarial Networks. - Kai Zhang, Alireza Entezari:
A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry. - Navin Goyal, Abhishek Shetty:
Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature. - Tamás Kriváchy, Yu Cai, Daniel Cavalcanti, Arash Tavakoli, Nicolas Gisin, Nicolas Brunner:
A neural network oracle for quantum nonlocality problems in networks. - Guanglin Tang, Yulong Yan, Chenyang Shen, Xun Jia, Meyer Zinn, Zipalkumar Trivedi, Alicia Yingling, Kenneth Westover, Steve B. Jiang:
Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications. - Matwey V. Kornilov:
Maximum likelihood estimation for disk image parameters. - Haichuan Ding, Kang G. Shin:
Accurate Angular Inference for 802.11ad Devices Using Beam-Specific Measurements. - Takeru Matsuda, Yuto Miyatake:
Estimation of ordinary differential equation models with discretization error quantification. - Greg Harrington, Fady Alajaji, Bahman Gharesifard:
Infection-Curing Games over Polya Contagion Networks. - JinHong Lu, Hiroshi Shimodaira:
A neural network based post-filter for speech-driven head motion synthesis. - Yohann de Castro, Sébastien Gadat, Clément Marteau, Cathy Maugis-Rabusseau:
Sparse Regularization for Mixture Problems. - Yuan Xue, Qianying Zhou, Jiarong Ye, L. Rodney Long, Sameer K. Antani, Carl Cornwell, Zhiyun Xue, Xiaolei Huang:
Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification. - Olexandr Polishchuk:
Influence and Betweenness in Flow Models of Complex Network Systems. - Mohammad Naghnaeian:
Optimal State Estimation Synthesis over Unreliable Network in Presence of Denial-of-Service Attack: an Operator Framework Approach. - Ruofeng Wen, Kari Torkkola:
Deep Generative Quantile-Copula Models for Probabilistic Forecasting. - Jan Nordström, Andrew R. Winters:
Energy versus entropy estimates for nonlinear hyperbolic systems of equations. - Quentin Aristote, Giuseppe Di Molfetta:
Quantum Walk over a triangular lattice subject to Pachner move. - Suyoun Kim, Siddharth Dalmia, Florian Metze:
Cross-Attention End-to-End ASR for Two-Party Conversations. - Na Zhu, Aris Anagnostopoulos, Ioannis Chatzigiannakis:
On Mining IoT Data for Evaluating the Operation of Public Educational Buildings. - James Folberth, Stephen Becker:
Safe Feature Elimination for Non-Negativity Constrained Convex Optimization. - Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini:
Tracking-ADMM for Distributed Constraint-Coupled Optimization. - Giulio Siracusano, Aurelio La Corte:
Forecasting Mobile Traffic with Spatiotemporal correlation using Deep Regression. - Hiroyuki Kobayashi, Hitoshi Kiya:
Performance Evaluation of Two-layer lossless HDR Coding using Histogram Packing Technique under Various Tone-mapping Operators. - Yoshikazu Terada, Ryoma Hirose:
Fast generalization error bound of deep learning without scale invariance of activation functions. - Shuxiao Chen, Edgar Dobriban, Jane H. Lee:
Invariance reduces Variance: Understanding Data Augmentation in Deep Learning and Beyond. - Hedayat Alghassi, Raouf Dridi, Sridhar R. Tayur:
GAMA: A Novel Algorithm for Non-Convex Integer Programs. - Nick Pawlowski, Ben Glocker:
Is Texture Predictive for Age and Sex in Brain MRI? - Shengxian Wang, Xiaojie Chen, Attila Szolnoki:
Exploring optimal institutional incentives for public cooperation. - Andreas G. Veneris, Andreas G. Park:
Special Drawing Rights in a New Decentralized Century. - Andrew Warrington, Arthur P. C. Spencer, Frank Wood:
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging. - Guihong Wan, Crystal Maung, Haim Schweitzer:
Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method. - Jacopo Di Iorio, Francesca Chiaromonte, Marzia A. Cremona:
On the bias of H-scores for comparing biclusters, and how to correct it. - Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. - Marco Alessandrini, Alessandro Micarelli, Andrea Viziano, I. Pavone, Giovanni Costantini, Daniele Casali, Fabio Paolizzo, Giovanni Saggio:
Body-worn triaxial accelerometer coherence and reliability related to static posturography in unilateral vestibular failure. - Habib Ammari, Oscar P. Bruno, Kthim Imeri, Nilima Nigam:
Wave Enhancement through Optimization of Boundary Conditions. - Xiao Wang, Zhijie Wang, Yolande M. Pengetnze, Barry S. Lachman, Vikas Chowdhry:
Deep Learning Models to Predict Pediatric Asthma Emergency Department Visits. - Sebastian Engel, Philip Trautmann, Boris Vexler:
Optimal finite element error estimates for an optimal control problem governed by the wave equation with controls of bounded variation. - Xihaier Luo, Ahsan Kareem:
Deep convolutional neural networks for uncertainty propagation in random fields. - Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan:
Domain Generalization via Multidomain Discriminant Analysis. - Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Multi-resolution Autoregressive Graph-to-Graph Translation for Molecules. - Alexander Arth, Julius Donnert, Ulrich Steinwandel, Ludwig Böss, Timo Halbesma, Martin Pütz, David Hubber, Klaus Dolag:
WVTICs - SPH initial conditions for everyone. - Mayank Chadha, Michael D. Todd:
On the derivatives of curvature of framed space curve and their time-updating scheme: Extended version with MATLAB code. - Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li:
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation. - Yun Liao, Nariman Farsad, Nir Shlezinger, Yonina C. Eldar, Andrea J. Goldsmith:
Deep Neural Network Symbol Detection for Millimeter Wave Communications. - Piyush Pandita, Jesper Kristensen, Liping Wang:
Towards Scalable Gaussian Process Modeling. - Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau:
Graph Informer Networks for Molecules. - Saem Park, Nojun Kwak:
Image Enhancement by Recurrently-trained Super-resolution Network. - Alzahra Badi, Sangwook Park, David K. Han, Hanseok Ko:
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement. - Gi-Soo Kim, Myunghee Cho Paik:
Doubly-Robust Lasso Bandit. - Jeremy Cook:
On the relationships between Z-, C-, and H-local unitaries. - Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu:
Adaptive Compressed Sensing MRI with Unsupervised Learning. - Ming Liu, Dongpeng Liu, Guangyu Sun, Yi Zhao, Duolin Wang, Fangxing Liu, Xiang Fang, Qing He, Dong Xu:
Detection of Malfunctioning Smart Electricity Meter. - Artit Visavakitcharoen, Yuma Kinoshita, Hitoshi Kiya:
A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion. - Jiechao Ma, Rongguo Zhang:
Automatic Calcium Scoring in Cardiac and Chest CT Using DenseRAUnet. - Thomas Choi, François Rottenberg, Jorge Gomez-Ponce, Akshay Ramesh, Peng Luo, Jianzhong Zhang, Andreas F. Molisch:
Channel Extrapolation for FDD Massive MIMO: Procedure and Experimental Results. - Francisco J. Aragón Artacho, Rubén Campoy, Quoc Tran-Dinh, Phan Tu Vuong:
Using positive spanning sets to achieve stationarity with the Boosted DC Algorithm. - Farhan Khan:
Online Subspace Tracking for Damage Propagation Modeling and Predictive Analytics: Big Data Perspective. - Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. - José E. Chacón:
A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation. - Austin Gilliam, Charlene Venci, Sreraman Muralidharan, Vitaliy Dorum, Eric May, Rajesh Narasimhan, Constantin Gonciulea:
Foundational Patterns for Efficient Quantum Computing. - Johannes Siegele, Daniel F. Scharler, Hans-Peter Schröcker:
Rational Motions with Generic Trajectories of Low Degree. - Giovanni Costantini, Daniele Casali, Fabio Paolizzo, Marco Alessandrini, Alessandro Micarelli, Andrea Viziano, Giovanni Saggio:
Towards the Enhancement of Body Standing Balance Recovery by Means of a Wireless Audio-Biofeedback System. - Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso:
As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging. - Nathan Wycoff, Mickaël Binois, Stefan M. Wild:
Sequential Learning of Active Subspaces. - Maria G. Baldeon Calisto, Susana K. Lai-Yuen:
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation. - Yacoub H. Kureh, Mason A. Porter:
Fitting In and Breaking Up: A Nonlinear Version of Coevolving Voter Models. - Ashesh Chattopadhyay, Ebrahim Nabizadeh, Pedram Hassanzadeh:
Analog forecasting of extreme-causing weather patterns using deep learning. - Pierluigi Colli, Héctor Gómez, Guillermo Lorenzo, Gabriela Marinoschi, Alessandro Reali, Elisabetta Rocca:
Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effects. - Kaushik Chakraborty, Filip Rozpedek, Axel Dahlberg, Stephanie Wehner:
Distributed Routing in a Quantum Internet. - Michal Parnas, Adi Shraibman:
On maximal isolation sets in the uniform intersection matrix. - Ke Ren, Avinash Malik:
Recommendation Engine for Lower Interest Borrowing on Peer to Peer Lending (P2PL) Platform. - Yunzi Ding, Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira:
Subexponential-Time Algorithms for Sparse PCA. - Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira:
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio. - Zhou Ni, Ziru Chen, Qinbo Zhang, Chi Zhou:
Analysis of RF Energy Harvesting in Uplink-NOMA IoT-based Network. - (Withdrawn) HeartFit: An Accurate Platform for Heart Murmur Diagnosis Utilizing Deep Learning.
- Mohsen Rakhshandehroo, Mohammad Rajabdorri:
Time Series Analysis of Electricity Price and Demand to Find Cyber-attacks using Stationary Analysis. - Jesus L. Lobo, Igor Ballesteros, Izaskun Oregi, Javier Del Ser:
Real-time Electrical Power Prediction in a Combined Cycle Power Plant. - Xiao Li, Zhihui Zhu, Anthony Man-Cho So, Jason D. Lee:
Incremental Methods for Weakly Convex Optimization. - Dong Liang, Jing Cheng, Ziwen Ke, Leslie Ying:
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks. - Mo Deng, Shuai Li, Alexandre Goy, Iksung Kang, George Barbastathis:
Learning to Synthesize: Robust Phase Retrieval at Low Photon counts. - Haoran Wang, Xun Yu Zhou:
Large scale continuous-time mean-variance portfolio allocation via reinforcement learning. - Sayan Ghosh, Jesper Kristensen, Yiming Zhang, Waad Subber, Liping Wang:
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty. - Adrian S. Lewis, Calvin J. S. Wylie:
A simple Newton method for local nonsmooth optimization. - Denali Molitor, Deanna Needell, Rachel A. Ward:
Bias of Homotopic Gradient Descent for the Hinge Loss. - Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu:
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. - Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler:
Momentum-Net: Fast and convergent iterative neural network for inverse problems. - Kush Bhatia, Yi-An Ma, Anca D. Dragan, Peter L. Bartlett, Michael I. Jordan:
Bayesian Robustness: A Nonasymptotic Viewpoint. - Kai Qiao, Chi Zhang, Jian Chen, Linyuan Wang, Li Tong, Bin Yan:
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization. - Mingtian Zhang, Thomas Bird, Raza Habib, Tianlin Xu, David Barber:
Variational f-divergence Minimization. - Cian M. Scannell, Piet van den Bosch, Amedeo Chiribiri, Jack Lee, Marcel Breeuwer, Mitko Veta:
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI. - Hendra I. Nurdin:
Quantum Stochastic Processes and the Modelling of Quantum Noise. - Joseph E. Gaudio, Anuradha M. Annaswamy, Michael A. Bolender, Eugene Lavretsky:
Adaptive Flight Control in the Presence of Limits on Magnitude and Rate. - Benjamin K. Tapley, Helge I. Andersson, Elena Celledoni, Brynjulf Owren:
Computational methods for tracking inertial particles in discrete incompressible flows. - Naser Rostamni, Tarik A. Rashid:
Investigating the effect of competitiveness power in estimating the average weighted price in electricity market. - Chenguang Dai, Jun S. Liu:
The Wang-Landau Algorithm as Stochastic Optimization and its Acceleration. - Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir-Mohammad Rahmani, Pasi Liljeberg, Nikil D. Dutt, Marco Levorato:
Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control. - Michael Weylandt:
Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques. - Weisen Wang, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Jingyuan Yang, Feng He, Zhikun Yang, Di Chen, Dayong Ding, Youxin Chen, Xirong Li:
Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization. - Ray Jiang, Aldo Pacchiano, Tom Stepleton, Heinrich Jiang, Silvia Chiappa:
Wasserstein Fair Classification. - Asghar Bahmani, Dariush Kiani:
Structure of Trees with Respect to Nodal Vertex Sets. - Yuanyuan Mi, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu:
Spatiotemporal Information Processing with a Reservoir Decision-making Network. - Jesse Beisegel, Maria Chudnovsky, Vladimir Gurvich, Martin Milanic, Mary Servatius:
Avoidable Vertices and Edges in Graphs. - Ryan Giordano, Michael I. Jordan, Tamara Broderick:
A Higher-Order Swiss Army Infinitesimal Jackknife. - Marc Diesse:
On local real algebraic geometry and applications to kinematics. - Jan van den Heuvel, Hal A. Kierstead:
Uniform Orderings for Generalized Coloring Numbers. - Soumya D. Mohanty, Ethan Fahnestock:
Adaptive spline fitting with particle swarm optimization. - Fatima Zahra Azayite, Saïd Achchab:
A hybrid neural network model based on improved PSO and SA for bankruptcy prediction. - Peng Jia, Yi Huang, Bojun Cai, Dongmei Cai:
Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features. - Ismael Lemhadri, Feng Ruan, Robert Tibshirani:
A neural network with feature sparsity. - Nobutaka Shimizu, Takeharu Shiraga:
Phase Transitions of Best-of-Two and Best-of-Three on Stochastic Block Models. - Kuang Xu, Se-Young Yun:
Reinforcement with Fading Memories. - Sushrut Thorat, Giacomo Aldegheri, Marcel A. J. van Gerven, Marius V. Peelen:
Modulation of early visual processing alleviates capacity limits in solving multiple tasks. - Zhihao Shen, Wan Du, Xi Zhao, Jianhua Zou:
Retrieving Similar Trajectories from Cellular Data at City Scale. - Majid Karami, Somayeh Davoodabadi Farahani, Farshad Kowsary, Amir Mosavi:
Experimental Estimation of Temporal and Spatial Resolution of Coefficient of Heat Transfer in a Channel Using Inverse Heat Transfer Method. - The Anh Han, Luís Moniz Pereira, Francisco C. Santos, Tom Lenaerts:
Modelling the Safety and Surveillance of the AI Race. - Satoshi Sunada, Atsushi Uchida:
Photonic reservoir computing based on nonlinear wave dynamics at a microscale. - Tomoaki Niiyama, Genki Furuhata, Atsushi Uchida, Makoto Naruse, Satoshi Sunada:
Lotka-Volterra competition mechanism embedded in a decision-making method. - Rodrigo A. Velez, Alexander L. Brown:
Empirical strategy-proofness. - Jaroslav Cmejla, Tomás Kounovský, Sharon Gannot, Zbynek Koldovský, Pinchas Tandeitnik:
MIRaGe: Multichannel Database Of Room Impulse Responses Measured On High-Resolution Cube-Shaped Grid In Multiple Acoustic Conditions. - Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne:
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. - Moira MacNeil, Merve Bodur:
Integer Programming, Constraint Programming, and Hybrid Decomposition Approaches to Discretizable Distance Geometry Problems. - Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation. - Anastasios Dimas, Dionysios S. Kalogerias, Athina P. Petropulu:
Cooperative Beamforming with Predictive Relay Selection for Urban mmWave Communications. - Claude Crépeau, Nan Yang:
Non-Locality and Zero-Knowledge MIPs. - François Grondin, James R. Glass:
Fast and Robust 3-D Sound Source Localization with DSVD-PHAT. - Fatih Erden, Özgür Özdemir, Wahab Khawaja, Ismail Güvenç:
Correction of Channel Sounding Clock Drift and Antenna Rotation Effects for mmWave Angular Profile Measurements. - Thomas Kalinowski, Sogol Mohammadian:
Feasible bases for a polytope related to the Hamilton cycle problem. - (Withdrawn) Spatial Modulation for Ambient Backscatter Communications: Modeling and Analysis.
- Luke Oakden-Rayner:
Exploring large scale public medical image datasets. - Thomas A. Courtade, Jingbo Liu:
Euclidean Forward-Reverse Brascamp-Lieb Inequalities: Finiteness, Structure and Extremals. - Matthew B. Hastings:
Classical and Quantum Algorithms for Tensor Principal Component Analysis. - Maximilien Gadouleau, George B. Mertzios, Viktor Zamaraev:
Linear Programming complementation and its application to fractional graph theory. - Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida, Pedro Alonso Palicio:
Machine learning in APOGEE: Identification of stellar populations through chemical abundances. - Markus Weimar:
On the lack of interior regularity of the p-Poisson problem with p>2. - Daniel Lopez Martinez, Ke Peng, Arielle J. Lee, David Borsook, Rosalind W. Picard:
Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors. - Waleed A. Yousef:
AUC: Nonparametric Estimators and Their Smoothness. - Adam Morrissett, Roja Eini, Mostafa Zaman, Nasibeh Zohrabi, Sherif Abdelwahed:
A Physical Testbed for Intelligent Transportation Systems. - Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu:
Attention Guided Network for Retinal Image Segmentation. - Tao Sun, Roberto Barrio, Marcos Rodríguez, Hao Jiang:
Inertial nonconvex alternating minimizations for the image deblurring. - Anna Stelzer:
Predicting credit default probabilities using machine learning techniques in the face of unequal class distributions. - Sen Pei, Jiannan Wang, Flaviano Morone, Hernán A. Makse:
Influencer identification in dynamical complex systems. - Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang:
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. - Jiaxin Cai, Hongfeng Zhu:
Lung image segmentation by generative adversarial networks. - Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras:
Screening Mammogram Classification with Prior Exams. - William O'Mullane, Niall Gaffney, Frossie Economou, Arfon M. Smith, J. Ross Thomson, Tim Jenness:
The demise of the filesystem and multi level service architecture. - Paola Vásquez, Antonio Loría, Fabio Sanchez, Luis A. Barboza:
Climate-driven statistical models as effective predictors of local dengue incidence in Costa Rica: A Generalized Additive Model and Random Forest approach. - Tom Sercu, Neil Mallinar:
Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition. - Sumeet Singh, Spencer M. Richards, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone:
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization. - Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. - Donghui Yan, Ying Xu:
Learning over inherently distributed data. - Delio Jaramillo, Maria Vaz Pinto, Rafael H. Villarreal:
A note on projective toric codes. - Johann Knechtel, Jacek Gosciniak, Alabi Bojesomo, Satwik Patnaik, Ozgur Sinanoglu, Mahmoud Rasras:
Toward Physically Unclonable Functions from Plasmonics-Enhanced Silicon Disc Resonators. - Rodrigo A. Lobos, W. Scott Hoge, Ahsan Javed, Congyu Liao, Kawin Setsompop, Krishna S. Nayak, Justin P. Haldar:
Robust Autocalibrated Structured Low-Rank EPI Ghost Correction. - Qisheng Wang, Keming Feng:
PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems Using Deep Reinforcement Learning. - Yuan Cheng, Yanbo Xue, Meng Chang:
Career Choice as an Extended Spatial Evolutionary Public Goods Game. - Damek Davis, Dmitriy Drusvyatskiy:
Robust stochastic optimization with the proximal point method. - David Sarrut, Nils Krah, Jean-Michel Létang:
Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations. - MaungMaung AprilPyone, Warit Sirichotedumrong, Hitoshi Kiya:
Adversarial Test on Learnable Image Encryption. - Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao:
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. - Oliver M. Gordon, Filipe L. Q. Junqueira, Philip J. Moriarty:
Embedding Human Heuristics in Machine-Learning-Enabled Probe Microscopy. - Waleed A. Yousef:
A Leisurely Look at Versions and Variants of the Cross Validation Estimator. - Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement. - Yuwen Yang, Hoda Bidkhori, Jayant Rajgopal:
Optimizing vaccine distribution networks in low and middle-income countries. - Alexander V. Sokolov, Vladimir V. Voloshinov:
Balanced Identification as an Intersection of Optimization and Distributed Computing. - Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity. - Tanya O'Garra, Valerio Capraro, Praveen Kujal:
The Effect of Social Information in the Dictator Game with a Taking Option. - Bastian Rieck, Markus Banagl, Filip Sadlo, Heike Leitte:
Persistent Intersection Homology for the Analysis of Discrete Data. - Matt Sourisseau, Yu Guang Wang, Hau-Tieng Wu, Wei-Hsuan Yu:
Optimization-based quasi-uniform spherical t-design and generalized multitaper for complex physiological time series. - Bastian Rieck, Filip Sadlo, Heike Leitte:
Topological Machine Learning with Persistence Indicator Functions. - Simone Göttlich, Stephan Knapp:
Modeling random traffic accidents by conservation laws. - József Molnár, Péter Horváth:
An Elastic Energy Minimization Framework for Mean Surface Calculation. - Chenlin Gu:
An efficient algorithm for solving elliptic problems on percolation clusters. - Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan:
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. - Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra:
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization. - Adrien Le Coënt, Laurent Fribourg:
Guaranteed optimal reachability control of reaction-diffusion equations using one-sided Lipschitz constants and model reduction. - Wankai Tang, Ming Zheng Chen, Jun Yan Dai, Yong Zeng, Xinsheng Zhao, Shi Jin, Qiang Cheng, Tie Jun Cui:
Wireless Communications with Programmable Metasurface: New Paradigms, Opportunities, and Challenges on Transceiver Design. - Vojtech Kaluza, Martin Tancer:
Even maps, the Colin de~Verdière number and representations of graphs. - Jean B. Lasserre:
Connecting optimization with spectral analysis of tri-diagonal matrices. - Ivan V. Latkin:
The complexity of the first-order theory of pure equality. - Seth Frey, Curtis Atkisson:
A dynamic over games drives selfish agents to win-win outcomes. - Md Ahsanul Abeed, Supriyo Bandyopadhyay:
Low Barrier Nanomagnet Design for Binary Stochastic Neurons: Design Challenges for Real Nanomagnets with Fabrication Defects. - M. T. McCray, Md Ahsanul Abeed, Supriyo Bandyopadhyay:
A Nanomagnetic Voltage-Tunable Correlation Generator between Two Random Bit Streams for Stochastic Computing.
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