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ORCID31st ICTAI 2019: Portland, OR, USA
- 31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019, Portland, OR, USA, November 4-6, 2019. IEEE 2019, ISBN 978-1-7281-3798-8
- Sahil Verma
, Roland H. C. Yap:
Benchmarking Symbolic Execution Using Constraint Problems - Initial Results. 1-9 - Yazid Boumarafi, Yakoub Salhi:
On Solving Exactly-One-SAT. 10-17 - Manon Ruffini, Jelena Vucinic, Simon de Givry, George Katsirelos, Sophie Barbe, Thomas Schiex:
Guaranteed Diversity & Quality for the Weighted CSP. 18-25 - Stefano Demarchi, Marco Menapace, Armando Tacchella:
Automating Elevator Design with Satisfiability Modulo Theories. 26-33 - Stéphanie Chevalier, Christine Froidevaux, Loïc Paulevé, Andrei Yu. Zinovyev:
Synthesis of Boolean Networks from Biological Dynamical Constraints using Answer-Set Programming. 34-41 - Soufia Bennai, Kamal Amroun, Samir Loudni:
Exploiting Data Mining Techniques for Compressing Table Constraints. 42-49 - Pierre Talbot, David Cachera, Éric Monfroy, Charlotte Truchet:
Combining Constraint Languages via Abstract Interpretation. 50-58 - Bernhard Bliem, Matti Järvisalo:
Centrality Heuristics for Exact Model Counting. 59-63 - Markus Iser, Tomás Balyo, Carsten Sinz:
Memory Efficient Parallel SAT Solving with Inprocessing. 64-70 - Hugues Wattez, Christophe Lecoutre, Anastasia Paparrizou, Sébastien Tabary:
Refining Constraint Weighting. 71-77 - Ankit Shukla, Armin Biere, Luca Pulina, Martina Seidl:
A Survey on Applications of Quantified Boolean Formulas. 78-84 - Mengwei Xu, Kevin McAreavey, Kim Bauters, Weiru Liu:
Intention Interleaving Via Classical Replanning. 85-92 - Keisuke Otaki, Satoshi Koide, Keiichiro Hayakawa, Ayano Okoso, Tomoki Nishi:
Multi-agent Path Planning with Heterogeneous Cooperation. 93-100 - Roopam Bamal:
Collision-Free Path Finding for Dynamic Gaming and Real Time Robot Navigation. 101-108 - Sávio Menezes Sampaio, Altino Dantas, Celso G. Camilo-Junior:
Routing Sales Territory by Solving a Multi-objective TSP Variant with Evolutionary Algorithms. 109-116 - Matthew McNeill, Damian M. Lyons:
A Comparison of Contextual Bandit Approaches to Human-in-the-Loop Robot Task Completion with Infrequent Feedback. 117-124 - Mingxi Zhang, Guanying Su, Wei Wang:
Random Walk-Based Top-k Tag Generation in Bipartite Networks of Entity-Term Type. 125-132 - Kareem Amin:
Cases without Borders: Automating Knowledge Acquisition Approach using Deep Autoencoders and Siamese Networks in Case-Based Reasoning. 133-140 - Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee:
Fence GAN: Towards Better Anomaly Detection. 141-148 - Bangyi Dong, Qingyong Li, Jianzhu Wang, Wei Huang, Peng Dai, Shengchun Wang:
An End-to-End Abnormal Fastener Detection Method Based on Data Synthesis. 149-156 - Ericsson Marin, Mohammed Almukaynizi, Paulo Shakarian:
Reasoning About Future Cyber-Attacks Through Socio-Technical Hacking Information. 157-164 - Brigitte Jaumard, Kia Babashahi Ashtiani, Nicolas Huin:
Automated Mechanism Design: Compact and Decomposition Linear Programming Models. 165-169 - Senpeng Chen, Jia Wu, Xiuyun Chen:
Deep Reinforcement Learning with Model-Based Acceleration for Hyperparameter Optimization. 170-177 - Luke Holbrook, Miltiadis Alamaniotis:
Internet of Things Security Analytics and Solutions with Deep Learning. 178-185 - Gabriel Hartmann, Zvi Shiller, Amos Azaria:
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge. 186-193 - Len Du:
Shallow Deep Learning: Embedding Verbatim K-Means in Deep Neural Networks. 194-197 - Elhadji Amadou Oury Diallo, Toshiharu Sugawara:
Coordination in Adversarial Multi-Agent with Deep Reinforcement Learning Under Partial Observability. 198-205 - Zhen Liang, Zhongxuan Cai, Minglong Li, Wenjing Yang:
Parallel Gym Gazebo: a Scalable Parallel Robot Deep Reinforcement Learning Platform. 206-213 - Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai:
Adversarial Capsule Learning for Network Embedding. 214-221 - Amos Azaria, Seagal Azaria:
Semi-Supervised Ovulation Detection Based on Multiple Properties. 222-228 - Hong Yao, Lijun Dong, Shiqi Zhen, Xiaojun Kang, Xinchuan Li, Qingzhong Liang:
Distant-Supervised Relation Extraction with Hierarchical Attention Based on Knowledge Graph. 229-236 - Aaron N. Richter, Taghi M. Khoshgoftaar:
Approximating Learning Curves for Imbalanced Big Data with Limited Labels. 237-242 - Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban:
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. 243-250 - Yitzhak Spielberg, Amos Azaria:
The Concept of Criticality in Reinforcement Learning. 251-258 - Caili Wu, Zhao Zhou, Hao Ye, Jing Yang, Liang He:
Math Expression Image Retrieval via Attention-Based Framework. 259-264 - Zhixin Li, Yaru Sun, Suqin Tang, Canlong Zhang, Huifang Ma:
Sentence-Level Semantic Features Guided Adversarial Network for Zhuang Language Part-of-Speech Tagging. 265-272 - Ali Shariq Imran, Zenun Kastrati, Torbjørn Karl Svendsen, Arianit Kurti:
Text-Independent Speaker ID Employing 2D-CNN for Automatic Video Lecture Categorization in a MOOC Setting. 273-277 - Gianni Costa, Riccardo Ortale:
Document Clustering and Topic Modeling: A Unified Bayesian Probabilistic Perspective. 278-285 - Zhaohong Guo, Hui Xu, Feng Lu, Qiufeng Wang, Xiangdong Zhou, Yu Shi:
Improving Irregular Text Recognition by Integrating Gabor Convolutional Network. 286-293 - Huiwen Jiang, Weigang Wu, Jiangtao Ren:
Aspect-Based Sentiment Analysis with Adjustments to Irrelevant Sentimental-Related Features. 294-299 - Song Liu, Jiawei Zhan, Zhengding Luo, Gege Qi, Zhiqiang Bai, Yuesheng Zhu:
Deep Captioning Hashing Network for Complex Scene Image Retrieval. 300-307 - Chunfeng Liu, Yan Zhang, Mei Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Jian Yu, Ruiguo Yu:
Text-Enhanced Knowledge Representation Learning Based on Gated Convolutional Networks. 308-315 - Alcides Lopes, Renata dos Santos Alvarenga, Joel Luis Carbonera, Mara Abel:
An Efficient Approach for Semantic Relatedness Evaluation Based on Semantic Neighborhood. 316-323 - Xu Zhang, Xin Tian, Bing Yang, Zuyu Zhang, Yan Li:
Semi-Supervised Cross-Modal Hashing Based on Label Prediction and Distance Preserving. 324-330 - Gege Qi, Lin Pan, Song Liu, Zhengding Luo, Yuesheng Zhu:
Self-Learned Feature Reconstruction and Offset-Dilated Feature Fusion for Real-Time Semantic Segmentation. 331-338 - Dong Si, Sunny Chieh Cheng, Ruiwen Xing, Chang Liu, Hoi Yan Wu:
Scaling up Prediction of Psychosis by Natural Language Processing. 339-347 - Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu:
Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features. 348-352 - Ran Li, Qingyi Si, Peng Fu, Zheng Lin, Weiping Wang, Gang Shi:
A Multi-channel Neural Network for Imbalanced Emotion Recognition. 353-360 - Bei Chen, Jiabin Yuan, Xiuping Bao:
Automatic 2D-to-3D Video Conversion using 3D Densely Connected Convolutional Networks. 361-367 - Lahari Poddar, Wynne Hsu, Mong-Li Lee:
Predicting User Reported Symptoms Using a Gated Neural Network. 368-375 - Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu:
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. 376-383 - Feng Liu, Cheng Lei, Hanyi Liu, Chongjun Wang:
A Probabilistic Forward Search Value Iteration Algorithm for POMDP. 384-391 - Sultan Ahmed, Malek Mouhoub:
A Divide and Conquer Algorithm for Dominance Testing in Acyclic CP-Nets. 392-399 - Mariana Soller Ramada, Telma Woerle de Lima, Anderson da Silva Soares, Adenilso Simão:
Generating Reduced Tests for FSMs using a Search-Based Testing Approach. 400-407 - Jianghai Dai, Chong Feng, Xuefeng Bai, Jinming Dai, Huanhuan Zhang:
AERNs: Attention-Based Entity Region Networks for Multi-Grained Named Entity Recognition. 408-415 - Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka:
Monte Carlo Tree Search with Variable Simulation Periods for Continuously Running Tasks. 416-423 - Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José A. F. de Macêdo:
KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems. 424-431 - Maël Guillemé, Véronique Masson, Laurence Rozé, Alexandre Termier:
Agnostic Local Explanation for Time Series Classification. 432-439 - Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang:
Using Gradient Based Multikernel Gaussian Process and Meta-Acquisition Function to Accelerate SMBO. 440-447 - Chen Chang, Jianjun Cao, Nianfeng Weng, Guojun Lv:
Ant Colony Optimization Parameters Control Based on Evolutionary Strength. 448-455 - Amrita Gupta, Bistra Dilkina:
Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure. 456-463 - Tao Tan, Shiqun Yin, Kunling Liu, Man Wan:
On the Convergence Speed of AMSGRAD and Beyond. 464-470 - Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci:
TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets. 471-478 - Afonso B. L. Neto, Tibério C. J. Loureiro, Marcial Porto Fernandez, Jerry Vasconcelos, Fernando A. M. Trinta:
METAPHOR - A Multiagent Architecture using IoT and Classification Algorithms for Referral Postoperative Patients. 479-484 - Alireza Nasiri, Yuxin Cui, Zhonghao Liu, Jing Jin, Yong Zhao, Jianjun Hu:
AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier. 485-492 - Yifei Wang, Rui Liu, Yong Chen, Hui Zhang, Zhiwen Ye:
Regularized Non-Negative Spectral Embedding for Clustering. 493-500 - Runzhi Wang, Yu-e Sun, He Huang, Le Lu, Yang Du, Danlei Huang:
An Efficient Truth Discovery Mechanism for Crowdsensing Tasks With Temporal and Spatial Correlations. 501-508 - Joel Luís Carbonera, Mara Abel:
A Subspace Hierarchical Clustering Algorithm for Categorical Data. 509-516 - Bruno Kostiuk, Yandre M. G. Costa, Alceu de Souza Britto Jr., Xiao Hu, Carlos N. Silla:
Multi-label Emotion Classification in Music Videos Using Ensembles of Audio and Video Features. 517-523 - Xiu Li, Guichun Duan, Zhouxia Wang, Jimmy S. J. Ren, Yongbing Zhang, Jiawei Zhang, Kaixiang Song:
Recovering Extremely Degraded Faces by Joint Super-Resolution and Facial Composite. 524-530 - Zhuo Wang, Haonan Qin, Yunsong Li, Jie Lei, Weiying Xie:
SOON: Specifically Optimized One-Stage Network for Object Detection in Remote Sensing Imagery. 531-538 - Wanru Song, Jieying Zheng, Yahong Wu, Changhong Chen, Feng Liu:
Partial Attribute-Driven Video Person Re-Identification. 539-546 - Xiaofeng Zhao, Xiaocan Wu, Yu-e Sun, He Huang, Yang Du, Zhen Cao:
CPDM: An Efficient Crowdsensing-Based Pothole Detection and Measurement System Design. 547-554 - Fengming Lin, Ju Liu, Qiang Wu, Xiangmao Kong, Wali Ullah Khan, Wei Shi, Enshuai Pang:
FMNet: Feature Mining Networks for Brain Tumor Segmentation. 555-560 - Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes:
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization. 561-568 - Daniel Vriesman, Alceu S. Britto Jr., Alessandro Zimmer, Alessandro Lameiras Koerich:
Texture CNN for Thermoelectric Metal Pipe Image Classification. 569-574 - Zhizhuang Li, Zhengzhou Zhu, Teng Yang:
A Multi-index Examination Cheating Detection Method Based on Neural Network. 575-581 - Haote Yang, Shikui Tu:
GLmser: A GAN-Lmser Network for Image-to-Image Translation. 582-589 - Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad:
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. 590-597 - Xiuping Bao, Jiabin Yuan, Bei Chen:
ECPNet: An Efficient Attention-Based Convolution Network with Pseudo-3D Block for Human Action Recognition. 598-605 - Mingyong Li, Hongya Wang, Liangliang Wang, Kaixiang Yang, Yingyuan Xiao:
Triplet Deep Hashing with Joint Supervised Loss for Fast Image Retrieval. 606-613 - Xijue Zhang, Wanling Li, Wangshu Shen, Lin Zhang, Xiaorong Pu, Lei Chen:
Automatic Identification of Alzheimer's Disease and Epilepsy Based on MRI. 614-620 - Vidhya Natarajan, Shangbo Mao, Liang-Tien Chia:
Salient Textural Anomaly Proposals and Classification for Metal Surface Anomalies. 621-628 - Shangbo Mao, Vidhya Natarajan, Liang-Tien Chia, Guang-Bin Huang:
Texture Recognition on Metal Surface using Order-Less Scale Invariant GLAC. 629-635 - Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu:
AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy. 636-643 - Kai Zhu, Meng Cao, Heng-Yang Lu:
MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks. 644-651 - Weifeng Zhang, Yi Cao, Congfu Xu:
SARC: Split-and-Recombine Networks for Knowledge-Based Recommendation. 652-659 - Shang Li, Boyang Liu, Lin Ye, Hongli Zhang, Binxing Fang:
Element-Aware Legal Judgment Prediction for Criminal Cases with Confusing Charges. 660-667 - Quentin Baert, Anne-Cécile Caron, Maxime Morge, Jean-Christophe Routier, Kostas Stathis:
A Location-Aware Strategy for Agents Negotiating Load-Balancing. 668-675 - Antonio Lieto, Gian Luca Pozzato, Federico Perrone:
A Dynamic Knowledge Generation System for Cognitive Agents. 676-681 - Junfan Li, Shizhong Liao:
Online Kernel Selection via Grouped Adversarial Bandit Model. 682-689 - Sarthak Ghosh, C. R. Ramakrishnan:
Optimizing Value of Information Over an Infinite Time Horizon. 690-696 - Mohit Kumar, Stefano Teso, Patrick De Causmaecker, Luc De Raedt:
Automating Personnel Rostering by Learning Constraints Using Tensors. 697-704 - Sonu Jose, Siming Liu, Sushil J. Louis, Sergiu Dascalu:
Towards a Hybrid Approach for Evolving Bayesian Networks Using Genetic Algorithms. 705-712 - Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar, Daniel Fodorean:
An Eigenvector-Enhanced Parallel Adaptive Differential Evolution for Electric Motor Design. 713-720 - Narayan Changder, Samir Aknine, Animesh Dutta:
An Effective Dynamic Programming Algorithm for Optimal Coalition Structure Generation. 721-727 - Yuanyuan Pan, Jun Gan, Xiangying Ran, Chongjun Wang:
Multi-granularity Position-Aware Convolutional Memory Network for Aspect-Based Sentiment Analysis. 728-735 - Yueyao Huang, Junjie Hu:
Residual Neural Network Based Classification of Macular Edema in OCT. 736-743 - Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan:
Multi-graph Convolution Network with Jump Connection for Event Detection. 744-751 - Garrett Goodman, Cogan Shimizu, Iosif Papadakis Ktistakis:
Constrained State-Preserved Extreme Learning Machine. 752-759 - Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie:
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. 760-767 - Dong Wang, Xiao Bai, Lei Zhou, Jun Zhou:
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks. 768-775 - Constance Thierry, Jean-Christophe Dubois, Yolande Le Gall, Arnaud Martin:
Modeling Uncertainty and Inaccuracy on Data from Crowdsourcing Platforms: MONITOR. 776-783 - Xinyu Zhou, Yiwen Ling, Maosheng Zhong, Mingwen Wang:
Dynamic Multi-population Artificial Bee Colony Algorithm. 784-791 - Yucheng Shu, Zhenlong Liao, Dan Luo:
Robust Point Set Registration with Mixture Re-Weighting Based on Relative Geometric Structures. 792-799 - Tiantian He, Lu Bai, Yew-Soon Ong:
Manifold Regularized Stochastic Block Model. 800-807 - Guihong Wan, Crystal Maung, Haim Schweitzer:
Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method. 808-815 - Luoyi Zhang, Xiaowen Ma, Peng Shi, Sheng Bi, Chongjun Wang:
RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment. 816-823 - Yinlong Bian, Jie Shen, Xin Xiong, Ying Li, Wei He, Peng Li:
Crowd Counting via Enhanced Feature Channel Convolutional Neural Network. 824-831 - Mingkun Wang, Dianxi Shi, Naiyang Guan, Tao Zhang, Liujing Wang, Ruoxiang Li:
Unsupervised Pedestrian Trajectory Prediction with Graph Neural Networks. 832-839 - Xiaoxue Hou, Jie An, Miaomiao Zhang, Bowen Du, Jing Liu:
High-Speed Rail Operating Environment Recognition Based on Neural Network and Adversarial Training. 840-847 - Fangli Ren, Zhengwei Jiang, Jian Liu:
Integrating an Attention Mechanism and Deep Neural Network for Detection of DGA Domain Names. 848-855 - Xiangyuan Sun, Xiaoyong Li, Kaijun Ren, Junqiang Song:
Solving the Defect in Application of Compact Abating Probability to Convolutional Neural Network Based Open Set Recognition. 856-863 - Yishen Wang, Zongzhang Zhang:
Experience Selection in Multi-agent Deep Reinforcement Learning. 864-870 - Z. X. Zhou, Vincent W. L. Tam, King-Shan Lui, Edmund Y. Lam, Allan Hoi Kau Yuen, Xiao Hu, Nancy Law:
Applying Deep Learning and Wearable Devices for Educational Data Analytics. 871-878 - Henrique Lemos, Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb:
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. 879-885 - Muhammad Jahanzeb Khan, Adeel Zafar, Valeriia Tumanian, Ding Yue, Guoqiang Li:
Object Detection Boosting using Object Attributes in Detect and Describe Framework. 886-893 - Abenezer Girma, Xuyang Yan, Abdollah Homaifar:
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network. 894-902 - Suncheng Xiang, Yuzhuo Fu, Ting Liu:
Deep Unsupervised Progressive Learning for Distant Domain Adaptation. 903-908 - Emily Strong, Bernard Kleynhans, Serdar Kadioglu:
MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for Python. 909-914 - Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki:
Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category. 915-922 - Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban:
Metric Learning from Imbalanced Data. 923-930 - Isuru Wijesinghe, Chathurika Gamage, Charith Chitraranjan:
Transfer Learning with Ensemble Feature Extraction and Low-Rank Matrix Factorization for Severity Stage Classification of Diabetic Retinopathy. 931-938 - Yunkai Zhuang, Xingguo Chen, Yang Gao, Yujing Hu:
Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving. 939-946 - Jiarong Wang, Lijun Cai, Aimin Yu, Dan Meng:
Embedding Learning with Heterogeneous Event Sequence for Insider Threat Detection. 947-954 - Xiuzhao Hao, Zhihao Wu, Haiguang Zhou, Xiangpeng Bai, Youfang Lin, Sheng Han:
Motion Coordination of Multiple Robots Based on Deep Reinforcement Learning. 955-962 - Lucas Oliveira Souza, Gabriel de Oliveira Ramos, Célia Ghedini Ralha:
Experience Sharing Between Cooperative Reinforcement Learning Agents. 963-970 - Henry Chacon, Samuel Silva, Paul Rad:
Deep Learning Poison Data Attack Detection. 971-978 - Norhan Elsayed Amer Abdelgawad, Ahmed El-Mahdy, Walid Gomaa, Amin A. Shoukry:
Estimating Vehicle Speed on Highway Roads from Smartphone Sensors Using Deep Learning Models. 979-986 - Xiangyu Tian, Shizhong Liao:
Learning Sparse Support Vector Machine with Relaxation and Rounding. 987-994 - Monowar H. Bhuyan, Maode Ma, Youki Kadobayashi, Erik Elmroth:
Information-Theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting. 995-1002 - Ludovic Minvielle, Mounir Atiq, Sergio Peignier, Mathilde Mougeot:
Transfer Learning on Decision Tree with Class Imbalance. 1003-1010 - Anqing Zheng, Chong Feng, Fang Yang, Huanhuan Zhang:
EsiNet: Enhanced Network Representation via Further Learning the Semantic Information of Edges. 1011-1018 - Elias Arnold Schede, Samuel Kolb, Stefano Teso:
Learning Linear Programs from Data. 1019-1026 - Spyridon Manganas, Nikolaos G. Bourbakis:
A Novel Learning Classification Scheme for Brain EEG Patterns. 1027-1033 - Feng Lu, Baifan Chen, Zhaohong Guo, Xiangdong Zhou:
Visual Sequence Place Recognition with Improved Dynamic Time Warping. 1034-1041 - Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du:
Heterogeneous Transfer Clustering for Partial Co-occurrence Data. 1042-1049 - Zihao Dong, Ruixun Zhang, Xiuli Shao:
A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for Image Classification. 1050-1056 - Xiruo Shi, Liutong Xu, Pengfei Wang:
Fine-Grained Image Classification Combined with Label Description. 1057-1064 - Sergio Peignier, Pauline Schmitt, Federica Calevro:
Data-Driven Gene Regulatory Network Inference Based on Classification Algorithms. 1065-1072 - Ximo Bian, Chong Feng, Arshad Ahmad, Jinming Dai, Guifen Zhao:
Targeted Sentiment Classification with Knowledge Powered Attention Network. 1073-1080 - Xiaoheng Deng, Yuebin Xu:
Cancer Classification Using Microarray Data By DPCAForest. 1081-1087 - Karim Tabia:
Towards Explainable Multi-Label Classification. 1088-1095 - Himanshu Singhal, Harish Ravi, Sathiya Narayan Chakravarthy, Prabavathy Balasundaram, Chitra Babu:
EPMS: A Framework for Large-Scale Patient Matching. 1096-1101 - April Hua Liu, Zihao Cheng, Justin Jiang:
Bayesian Network Learning for Classification via Transfer Method. 1102-1109 - Laura Rettig, Julien Audiffren, Philippe Cudré-Mauroux:
Fusing Vector Space Models for Domain-Specific Applications. 1110-1117 - Shoma Miki, Hiroyuki Ebara:
Solving Traveling Salesman Problem with Image-Based Classification. 1118-1123 - Gino Brunner, Nawel Naas, Sveinn Palsson, Oliver Richter, Roger Wattenhofer:
Monaural Music Source Separation using a ResNet Latent Separator Network. 1124-1131 - Regis Antonio Saraiva Albuquerque, Albert Franca Josua Costa, Eulanda Miranda dos Santos, Robert Sabourin, Rafael Giusti:
A Decision-Based Dynamic Ensemble Selection Method for Concept Drift. 1132-1139 - Vinícius H. Resende, Murillo G. Carneiro:
Towards a High-Level Multi-label Classification from Complex Networks. 1140-1147 - Reham M. Alamro, Abdou Youssef:
Effects of Integrated Instance-Random-Sampling and Feature Reduction on Classifiers Performance and Training Speed. 1148-1155 - Yingcheng Sun, Kenneth A. Loparo:
Opinion Spam Detection Based on Heterogeneous Information Network. 1156-1163 - Nicolas Gutowski, Tassadit Amghar, Olivier Camp, Fabien Chhel:
Gorthaur: A Portfolio Approach for Dynamic Selection of Multi-Armed Bandit Algorithms for Recommendation. 1164-1171 - Zeyu Chen, Yan Tang, Zuowei Zhang, Chengyang Zhang, Luwei Wang:
Sentiment-Aware Short Text Classification Based on Convolutional Neural Network and Attention. 1172-1179 - Stefano Bistarelli, Francesco Faloci, Carlo Taticchi:
Implementing Ranking-Based Semantics in ConArg. 1180-1187 - Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao, Tiangang Bai:
Graph-Based Attention Networks for Aspect Level Sentiment Analysis. 1188-1194 - Meina Song, Zhongfu Chen, Peiqing Niu, Haihong E:
FPSeq: Simplifying and Accelerating Task-Oriented Dialogue Systems via Fully Parallel Sequence-to-Sequence Framework. 1195-1202 - Hongli Wang, Jiangtao Ren:
GLSE: Global-Local Selective Encoding for Response Generation in Neural Conversation Model. 1203-1208 - Merav Allouch, Amos Azaria, Rina Azoulay:
Detecting Sentences that May be Harmful to Children with Special Needs. 1209-1213 - Jiansheng Dong, Jingling Yuan, Lin Li, Xian Zhong, Weiru Liu:
An Efficient Semantic Segmentation Method using Pyramid ShuffleNet V2 with Vortex Pooling. 1214-1220 - Shuai Li, Jiaying Shi, Wenfeng Song, Aimin Hao, Hong Qin:
Few-Shot Learning for Monocular Depth Estimation Based on Local Object Relationship. 1221-1228 - Zhaobing Yang, Jing Wu, Chengnian Long:
Learning Spatial-Corrected Regularized Correlation Filters for Visual Tracking. 1229-1236 - Zhengding Luo, Qinghua Gu, Gege Qi, Song Liu, Yuesheng Zhu, Zhiqiang Bai:
A Robust Single-Sensor Face and Iris Biometric Identification System Based on Multimodal Feature Extraction Network. 1237-1244 - Xian Zhong, Jiachen Li, Wenxin Huang, Liang Xie:
Deep Multi-label Hashing for Image Retrieval. 1245-1251 - Pengfei Zhang, Xinzi Sun, Dechun Wang, Xizhe Wang, Yu Cao, Benyuan Liu:
An Efficient Spatial-Temporal Polyp Detection Framework for Colonoscopy Video. 1252-1259 - Tongwen Wu, Zizhen Zhang, Yanzhi Li, Jiahai Wang:
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs. 1260-1264 - Ralph Samer, Martin Stettinger, Müslüm Atas, Alexander Felfernig, Guenther Ruhe, Gouri Deshpande:
New Approaches to the Identification of Dependencies between Requirements. 1265-1270 - Zhenxu Yao, Zhiyun Chen:
A Novel Method to Enhance Recommendation Systems via Leveraging Multiple Types of Implicit Feedbacks. 1271-1276 - Fan Zhu, Juan Yang, Pengfei Wang:
TMRM: Two-Stage Multi-Task Recommendation Model Boosted Feature Selection. 1277-1281 - Paul J. Darwen:
Cost-Effective Prediction in Medicine and Marketing: Only the Difference Between Bayesian Model Averaging and the Single Best-Fit Model. 1282-1287 - Xiao Peng, Weiqing Huang, Zhixin Shi:
Adversarial Attack Against DoS Intrusion Detection: An Improved Boundary-Based Method. 1288-1295 - Minjie Ding, Weiqin Tong, Xuehai Ding, Xiaoli Zhi, Xiao Wang, Guoqing Zhang:
Knowledge Graph Embedding by Bias Vectors. 1296-1302 - Bing Shi, Liquan Zhu, Yikai Luo:
Reverse Auction Based Incentive Order Matching Mechanism for Real-Time Ride-Sharing. 1303-1310 - Junsha Chen, Neng Gao, Cong Xue, Yifei Zhang, Chenyang Tu, Min Li:
The Application of Network Based Embedding in Local Topic Detection from Social Media. 1311-1319 - Nan Mu, Daren Zha, Yuanye He, Zhihao Tang:
Graph Attention Networks for Neural Social Recommendation. 1320-1327 - Chad Calvert, Taghi M. Khoshgoftaar:
Threshold Based Optimization of Performance Metrics with Severely Imbalanced Big Security Data. 1328-1334 - Pavel Rytír, Lukás Chrpa, Branislav Bosanský:
Using Classical Planning in Adversarial Problems. 1335-1340 - Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Tian Xia, Jing Xiao:
Federated Learning of Unsegmented Chinese Text Recognition Model. 1341-1345 - Javier Maldonado, María Cristina Riff:
Evaluating Different Metric Configurations of an Evolutionary Wrapper for Attack Detection. 1346-1350 - Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé, Wissam Siblini:
Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection. 1351-1355 - Cecília R. O. Assis, Rodrigo Sanches Miani, Murillo G. Carneiro, Kil Jin Brandini Park:
A Comparative Analysis of Classifiers in the Recognition of Packed Executables. 1356-1360 - Gustavo Bathu Paulus, Joaquim Vinicius Carvalho Assunção, Luís A. Lima Silva:
Cases and Clusters in Reuse Policies for Decision-Making in Card Games. 1361-1365 - Nicolas Gutowski, Olivier Camp, Fabien Chhel, Tassadit Amghar, Patrick Albers:
Improving Bandit-Based Recommendations with Spatial Context Reasoning: An Online Evaluation. 1366-1373 - Ashish Rana, Avleen Kaur Malhi, Kary Främling:
Exploring Numerical Calculations with CalcNet. 1374-1379 - Zeshan Lu, Tao Xu, Kun Liu, Zhen Liu, Feipeng Zhou, Qingjie Liu:
5M-Building: A Large-Scale High-Resolution Building Dataset with CNN Based Detection Analysis. 1385-1389 - Miao Li, Hongyin Tang, Beihong Jin, Chengqing Zong:
A New Effective Neural Variational Model with Mixture-of-Gaussians Prior for Text Clustering. 1390-1395 - Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. 1396-1400 - Qing Yang, Jiachen Mao, Zuoguan Wang, Hai Li:
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement. 1401-1405 - Ling Lin, Qian Yu, Wen Ji, Yang Gao:
Feature-Selected and -Preserved Sampling for High-Dimensional Stream Data Summary. 1406-1411 - Athanasios Lentzas, Christoforos Nalmpantis, Dimitris Vrakas:
Hyperparameter Tuning using Quantum Genetic Algorithms. 1412-1416 - Austin Okray, Hui Hu, Chao Lan:
Fair Kernel Regression via Fair Feature Embedding in Kernel Space. 1417-1421 - Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé:
Bayesian Anytime m-top Exploration. 1422-1428 - Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos:
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. 1429-1433 - Xiaojun Xie, Xiaolin Qin, Guangmei Huang, Wei Zhao:
Attribute Reduction for Partially Labeled Data Based on Hypergraph Models. 1434-1439 - Qimao Yang, Jun Guo:
An Expansion Convolution Method Based on Local Region Parameter Sharing. 1440-1445 - Zhihao Wang, Xin Li:
Hybrid-TE: Hybrid Translation-Based Temporal Knowledge Graph Embedding. 1446-1451 - Zhenyu Zhang, Xiangfeng Luo, Tong Liu, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li, Yan Peng:
Proximal Policy Optimization with Mixed Distributed Training. 1452-1456 - Olfa Slama, Anis Yazidi:
Learning Fuzzy SPARQL User Preferences. 1457-1462 - Tian Xu, Jiangli Li, Hao Wu, Huafeng Yang, Xiaoming Gu, Yanqiu Chen:
Feature Space Regularization for Person Re-identification with One Sample. 1463-1470 - Anh Truong, Austin Walters, Jeremy Goodsitt, Keegan E. Hines, C. Bayan Bruss, Reza Farivar:
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools. 1471-1479 - Kai Zhou, Xiangfeng Luo, Hao Wang, Richard Y. D. Xu:
Multi-task Learning for Relation Extraction. 1480-1487 - Philippe Besnard, Thomas Guyet, Véronique Masson:
Admissible Generalizations of Examples as Rules. 1488-1493 - Hongyong Sun, Nan Sang, Jia Wu, Chen Wang:
Algorithmic Currency Trading Based on Reinforcement Learning Combining Action Shaping and Advantage Function Shaping. 1494-1498 - Sheng Xie, Canlong Zhang, Zhixin Li, Zhi-Wen Wang:
Sparse High-Level Attention Networks for Person Re-Identification. 1499-1503 - Linlin Bie, Xu Wang, Jari Korhonen:
Optimizing the Parameters for Post-Processing Consumer Photos via Machine Learning. 1504-1509 - Xi Cao, Huaiyu Wan, Youfang Lin, Sheng Han:
High-Value Prioritized Experience Replay for Off-Policy Reinforcement Learning. 1510-1514 - Nianwen Ning, Chenguang Song, Pengpeng Zhou, Yunlei Zhang, Bin Wu:
An Adaptive Cross-Layer Sampling-Based Node Embedding for Multiplex Networks. 1515-1519 - Ange Tato, Roger Nkambou:
Some Improvements of Deep Knowledge Tracing. 1520-1524 - Henok Ghebrechristos, Gita Alaghband:
Optimizing Training using Information Theory-Based Curriculum Learning Factory. 1525-1530 - Qiuhan Zhao, Wenchuan Yang, Rui Hua:
Design and Research of Composite Web Page Classification Network Based on Deep Learning. 1531-1535 - Wenhui Huang, Francesco Braghin, Zhuo Wang:
Learning to Drive via Apprenticeship Learning and Deep Reinforcement Learning. 1536-1540 - Ha-Thanh Nguyen, Le-Minh Nguyen:
Swarm Filter - A Simple Deep Learning Component Inspired by Swarm Concept. 1541-1545 - Christopher Doyle, Maxime Guériau, Ivana Dusparic:
Variational Policy Chaining for Lifelong Reinforcement Learning. 1546-1550 - Soheila Abrishami, Michael Turek, Ahana Roy Choudhury, Piyush Kumar:
Enhancing Profit by Predicting Stock Prices using Deep Neural Networks. 1551-1556 - Lisa Andreevna Chalaguine, Anthony Hunter, Henry W. W. Potts, Fiona Hamilton:
Impact of Argument Type and Concerns in Argumentation with a Chatbot. 1557-1562 - Gil Halevi, Kahini Wadhawan:
Text Style Transfer Using Partly-Shared Decoder. 1563-1567 - Arpita Roy, Youngja Park, Shimei Pan:
Incorporating Domain Knowledge in Learning Word Embedding. 1568-1573 - Qiongxing Tao, Xiangfeng Luo, Hao Wang, Richard Y. D. Xu:
Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts. 1574-1580 - Benjamin Bay, Paul M. Bodily, Dan Ventura:
Dynamically Scoring Rhymes with Phonetic Features and Sequence Alignment. 1581-1585 - Hesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, Haitham Seelawi, Hussein T. Al-Natsheh:
Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions. 1586-1591 - Eric Brewer, Yiu-Kai Ng:
Age-Suitability Prediction for Literature Using a Recurrent Neural Network Model. 1592-1596 - Matheus Gomes Sousa, Kenzo Miranda Sakiyama, Lucas de Souza Rodrigues, Pedro Henrique Moraes, Eraldo Rezende Fernandes, Edson Takashi Matsubara:
BERT for Stock Market Sentiment Analysis. 1597-1601 - Peng Guo, Junwei Zhang, Yuexian Hou, Xiujun Gong, Panpan Wang, Yazhou Zhang:
Quantum-Inspired DMATT-BiGRU for Conversational Sentiment Analysis. 1602-1606 - Jiangqing Wu, Ling Zheng, Can Huang, Sifan Cai, Shaorong Feng, Defu Zhang:
An Improved Hybrid Heuristic Algorithm for Pickup and Delivery Problem with Three-Dimensional Loading Constraints. 1607-1612 - Yucheng Lu, Tongyu Zhu:
Pre-training of Autoregressive Model for Aircraft Hard Landing Prediction Based on QAR Data. 1613-1617 - Maxime Guériau:
Self-Organizing Traffic Based on Dynamic Platoon Configuration. 1618-1622 - Shixuan Wang, Jiabin Yuan, Jing Wen:
Adaptive Phone Orientation Method for Continuous Authentication Based on Mobile Motion Sensors. 1623-1627 - Evaristo José Do Nascimento, Eliakim Zacarias, Daniel Matheus Doebber, Edison Pignaton de Freitas, Luís Alvaro de Lima Silva:
Flooding-Driven Modifications of a Hierarchical and Irregular Navigation Grid Structure for Large Virtual Terrains used in Simulation Systems. 1628-1632 - Lucas Tsutsui da Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista:
EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems. 1633-1637 - Sihem Belabbes, Chi Wee Tan, Tri-Thuc Vo, Yacine Izza, Karim Tabia, Sylvain Lagrue, Salem Benferhat:
Query Answering from Traditional Dance Videos: Case Study of Zapin Dances. 1638-1642 - Yu Jin, Ying Li:
Neural Network Approximation for Nonlinear Partial Differential Equations with Quasi-Newton Optimization and Piecewise Strategy. 1643-1647 - Tao Zhang, Lianbo Ma, Guangming Yang:
MOPNAR-II: An Improved Multi-Objective Evolutionary Algorithm for Mining Positive and Negative Association Rules. 1648-1653 - Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz:
Deep Active Imitation Learning in FIFA Free-Kicks Player Platforms Based on Raw Image and Object Detection State Representations. 1654-1658 - Juliana Paula Felix, Flávio Henrique Teles Vieira, Gabriel da Silva Vieira, Ricardo Augusto Pereira Franco, Ronaldo Martins da Costa, Rogério Lopes Salvini:
An Automatic Method for Identifying Huntington's Disease using Gait Dynamics. 1659-1663 - Tianyang Wang, Jun Huan, Bo Li, Kaoning Hu:
Rethink Gaussian Denoising Prior for Real-World Image Denoising. 1664-1668 - Yang Deng, Ning Xie, Yang Yang:
A Siamese-Detection Network for Real-Time Object Tracking. 1669-1674 - Fangjun Wang, Liping Shen:
Facial Expression Recognition: Residue Learning Using SVM. 1675-1680 - Gabriel da Silva Vieira, Bruno M. Rocha, Fabrízzio Alphonsus A. M. N. Soares, Junio Cesar de Lima, Hélio Pedrini, Ronaldo Martins da Costa, Júlio César Ferreira:
Extending the Aerial Image Analysis from the Detection of Tree Crowns. 1681-1685 - Afonso Ueslei Da Fonseca, Fabrízzio Alphonsus A. M. N. Soares, Leandro L. Oliveira, Mariana S. Ramada, Rogerio Salvini, Deborah S. A. Fernandes, Cristiane Bastos Rocha Ferreira, William D. Ferreira:
X-ray Image Enhancement: A Technique Combination Approach. 1686-1690 - Yong Liu, Liming Bao, Chaofan Zhang, Wen Zhang, Yingwei Xia:
Accurate and Robust RGB-D Dense Mapping with Inertial Fusion and Deformation-Graph Optimization. 1691-1696 - Min Li, Yuezhu Qi, Jian Yang, Yanfang Zhang, Junxing Ren, Hong Du:
3D Convolutional Two-Stream Network for Action Recognition in Videos. 1697-1701 - Yi Liang, Changjian Wang, Fangzhao Li, Yuxing Peng, Qin Lv, Yuan Yuan, Zhen Huang:
TFPN: Twin Feature Pyramid Networks for Object Detection. 1702-1707 - Yingjie Qin, Ming Chen, Lizhe Qi, Yunquan Sun:
Focus Generator with Score Classification on Fabric Defect Detection. 1708-1714 - Xin Wang, Serdar Kadioglu:
Bayesian Deep Learning Based Exploration-Exploitation for Personalized Recommendations. 1715-1719 - Hengliang Wang, Yuan Li, Chenfei Zhao, Yi Zhang, Kedian Mu:
A Meta-Strategy Enhancement for Network Embedding. 1720-1723 - Lin Liu, Daming Shi, Dansong Cheng, Maysam Orouskhani:
An Advanced Harmony Search Algorithm Based on Harmony Anchoring and Reverse Learning. 1724-1728 - Christoforos Nalmpantis, Athanasios Lentzas, Dimitris Vrakas:
A Theoretical Analysis of Pooling Operation Using Information Theory. 1729-1733 - Dou El Kefel Mansouri, Seif-Eddine Benkabou, Bachir Kaddar, Khalid Benabdeslem:
A Novel Proposed Pooling for Convolutional Neural Network. 1739-1743 - Akihiro Shimizu, Riku Togashi, Antony Lam, Nam Van Huynh:
Uplift Modeling for Cost Effective Coupon Marketing in C-to-C E-Commerce. 1744-1748 - Gonzalo A. Ruz, Pablo A. Henríquez:
Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data. 1749-1752 - Xinyu Zhou, Yang Peng:
Short-Spoken Language Intent Classification with Conditional Sequence Generative Adversarial Network. 1753-1756 - Jinyi Liu, Xiaxu Leng, Ying Liu:
Deep Convolutional Neural Network Based Object Detector for X-Ray Baggage Security Imagery. 1757-1761 - Beom Jin An, Alexander S. Mentis:
Directional Search Algorithm and its Utilization of Simulated Annealing and Expand-Retract. 1762-1766 - Kazuki Nishisaka, Hitoshi Iima:
Real-Coded Genetic Algorithm Realizing Fast Convergence by Reducing Its Population Size. 1767-1770 - Yingbin Xue, Xiaoye Wang, Zan Gao:
Multi-classfication Sentiment Analysis Based on the Fused Model. 1771-1775 - Weina Zhang, Xingming Zhang, Haoxiang Wang:
Modeling Missing Data Based on Neural Fuzzy Inference for Implicit Recommendation. 1776-1780 - Tasmia Rahman Tumpa, Shelley N. Acuff, Dustin R. Osborne:
Classification of Infiltrated Injections During PET/CT Imaging Applying Deep Learning Technique. 1781-1785 - Kunling Liu, Shiqun Yin, Tao Tan:
SLAOE-NN: A Deep Network with Structure Learning for Aspect and Opining co-Extraction for NLP. 1786-1790 - Hitoshi Iima, Keijiro Yokoyama:
Differential Evolution Using Linkage Identification. 1791-1794 - Huale Li, Xuan Wang, Shuhan Qi, Yang Liu, Haojie Wang, Fengwei Jia, Jiajia Zhang:
Solving Six-Player Games via Online Situation Estimation. 1795-1799 - Yue Pang, Xiangdong Zhou, Donghui Xu, Zijing Tan, Mingxi Zhang, Naiwang Guo, Yingjie Tian:
Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction. 1800-1804 - Maysam Orouskhani, Daming Shi, Lin Liu:
Dynamic Multi-objective Evolutionary Algorithm with Fuzzy Weighted Borda Count Method. 1805-1809 - Dheeraj Bhaskaruni, Hui Hu, Chao Lan:
Improving Prediction Fairness via Model Ensemble. 1810-1814 - Elze Pinheiro Lima Neto, Ronaldo Martins da Costa, Deborah Silva Alves Fernandes, Fabrízzio Alphonsus Alves de Melo Nunes Soares:
Sensory Substitution of Vision: A Systematic Mapping and a Deep Learning Object Detection Proposition. 1815-1819 - Andrea Visentin, Alessia Nardotto, Barry O'Sullivan:
Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier. 1820-1824
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