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ORCID27. ICANN 2018: Rhodes, Greece
- Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis:
Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11139, Springer 2018, ISBN 978-3-030-01417-9
CNN/Natural Language
- Xiao Dong
, Lei Liu, Guangli Li, Peng Zhao, Xiaobing Feng:
Fast CNN Pruning via Redundancy-Aware Training. 3-13 - Youcai Zhang, Yiwei Gu, Xiaodong Gu:
Two-Stream Convolutional Neural Network for Multimodal Matching. 14-21 - Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis:
Kernel Graph Convolutional Neural Networks. 22-32 - Luiz Carlos da Silva, Cleber Gustavo Dias, Wonder Alexandre Luz Alves:
A Histogram of Oriented Gradients for Broken Bars Diagnosis in Squirrel Cage Induction Motors. 33-42 - Nobuaki Hasuike, Yuko Osana:
Learning Game by Profit Sharing Using Convolutional Neural Network. 43-50 - Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne E. James:
Detection of Fingerprint Alterations Using Deep Convolutional Neural Networks. 51-60 - Antonios Karatzoglou, Nikolai Schnell, Michael Beigl:
A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations. 61-72 - Jirí Martínek, Ladislav Lenc, Pavel Král:
Neural Networks for Multi-lingual Multi-label Document Classification. 73-83 - Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li:
Multi-region Ensemble Convolutional Neural Network for Facial Expression Recognition. 84-94 - Alex Hernández-García, Peter König:
Further Advantages of Data Augmentation on Convolutional Neural Networks. 95-103 - Xiaoping Zheng, Song He, Xinyu Song, Zhongnan Zhang, Xiaochen Bo:
DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug-Target Interactions. 104-114 - Ying Chen, Wenjun Hou, Xiyao Cheng:
Hierarchical Convolution Neural Network for Emotion Cause Detection on Microblogs. 115-122 - Stefan Oehmcke, Oliver Zielinski, Oliver Kramer:
Direct Training of Dynamic Observation Noise with UMarineNet. 123-133 - Alper Ahmetoglu, Ozan Irsoy, Ethem Alpaydin:
Convolutional Soft Decision Trees. 134-141 - Qiang Sun, Yue Wu:
A Multi-level Attention Model for Text Matching. 142-153 - Xingzhang Ren, Leilei Zhang, Wei Ye, Hang Hua, Shikun Zhang:
Attention Enhanced Chinese Word Embeddings. 154-165 - Mark Cappello Ferreira de Sousa, Miguel Angelo de Abreu de Sousa, Emilio Del-Moral-Hernandez:
Balancing Convolutional Neural Networks Pipeline in FPGAs. 166-175 - Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo D. Salton, John D. Kelleher:
Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning. 176-187 - Kostas Delibasis, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos:
Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification. 188-196
Spiking
- Hui Wei, Su Zihao, Dawei Dai:
Balanced Cortical Microcircuitry-Based Network for Working Memory. 199-210 - Juan Camilo Vasquez Tieck, Marin Vlastelica Pogancic, Jacques Kaiser, Arne Roennau, Marc-Oliver Gewaltig, Rüdiger Dillmann:
Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine. 211-221 - Xianghong Lin, Guoyong Shi:
A Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks. 222-234 - Takayuki Fujita, Yuko Osana:
Artwork Retrieval Based on Similarity of Touch Using Convolutional Neural Network. 235-243 - Jacques Kaiser, Jakob Weinland, Philip Keller, Lea Steffen, Juan Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Jörg Conradt, Rüdiger Dillmann:
Microsaccades for Neuromorphic Stereo Vision. 244-252 - René Larisch, Michael Teichmann, Fred H. Hamker:
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. 253-262 - Varun Bhatt, Udayan Ganguly:
Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks. 263-272 - Shashwat Shukla, Sangya Dutta, Udayan Ganguly:
Design of Spiking Rate Coded Logic Gates for C. elegans Inspired Contour Tracking. 273-283 - Isabella Pozzi, Roeland Nusselder, Davide Zambrano, Sander M. Bohté:
Gating Sensory Noise in a Spiking Subtractive LSTM. 284-293 - Lech Marian Grzesiak, Vincent Meganck:
Spiking Signals in FOC Control Drive. 294-303 - Chama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel:
Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input. 304-313 - Muhammad Aamir Khan, Volker Steuber, Neil Davey, Borys Wróbel:
Spiking Neural Networks Evolved to Perform Multiplicative Operations. 314-321 - Muhammad Yaqoob, Borys Wróbel:
Very Small Spiking Neural Networks Evolved for Temporal Pattern Recognition and Robust to Perturbed Neuronal Parameters. 322-331
Machine Learning/Autoencoders
- Ingrid Grenet, Yonghua Yin, Jean-Paul Comet, Erol Gelenbe:
Machine Learning to Predict Toxicity of Compounds. 335-345 - Javier Cela, Alberto Suárez:
Energy-Based Clustering for Pruning Heterogeneous Ensembles. 346-351 - Cristhian Motoche, Marco E. Benalcázar:
Real-Time Hand Gesture Recognition Based on Electromyographic Signals and Artificial Neural Networks. 352-361 - Shuqing Wang, Yongmei Lei:
Fast Communication Structure for Asynchronous Distributed ADMM Under Unbalance Process Arrival Pattern. 362-371 - Josef Feigl, Martin Bogdan:
Improved Personalized Rankings Using Implicit Feedback. 372-381 - Chunjie Luo, Jianfeng Zhan, Xiaohe Xue, Lei Wang, Rui Ren, Qiang Yang:
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks. 382-391 - Mandar V. Tabib, Ole Martin Løvvik, Kjetil André Johannessen, Adil Rasheed, Espen Sagvolden, Anne Marthine Rustad:
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. 392-401 - Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng:
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. 402-411 - Martin Simonovsky, Nikos Komodakis:
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. 412-422 - Amit Chaulwar, Michael Botsch, Wolfgang Utschick:
Generation of Reference Trajectories for Safe Trajectory Planning. 423-434 - Igor Isaev, Sergey Burikov, Tatiana A. Dolenko, Kirill Laptinskiy, Alexey Vervald, Sergey Dolenko:
Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data. 435-444
Learning
- Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li:
Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning. 447-455 - Jan Philip Göpfert, Barbara Hammer, Heiko Wersing:
Mitigating Concept Drift via Rejection. 456-467 - Jessica Lopez-Hazas, Aaron Montero, Francisco B. Rodríguez:
Strategies to Enhance Pattern Recognition in Neural Networks Based on the Insect Olfactory System. 468-475 - Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko:
HyperNets and Their Application to Learning Spatial Transformations. 476-486 - Benedikt Pfülb, Alexander Gepperth, Saad Abdullah, André Kilian:
Catastrophic Forgetting: Still a Problem for DNNs. 487-497 - Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Queue-Based Resampling for Online Class Imbalance Learning. 498-507 - Ege Beyazit, Matin Hosseini, Anthony Maida, Xindong Wu:
Learning Simplified Decision Boundaries from Trapezoidal Data Streams. 508-517 - Christian Limberg, Heiko Wersing, Helge J. Ritter:
Improving Active Learning by Avoiding Ambiguous Samples. 518-527 - Zheng Wang, Irena Koprinska:
Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks. 528-537 - Pablo de Viña, Gonzalo Martínez-Muñoz:
Using Bag-of-Little Bootstraps for Efficient Ensemble Learning. 538-545 - Ivano Lauriola, Mirko Polato, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli:
Learning Preferences for Large Scale Multi-label Problems. 546-555 - Ujjal Kr Dutta, C. Chandra Sekhar:
Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework. 556-565 - Myrianthi Hadjicharalambous, Marios M. Polycarpou, Christos G. Panayiotou:
Online Approximation of Prediction Intervals Using Artificial Neural Networks. 566-576
Classification
- Cosme Llerena, Detlef Müller, Roderick Adams, Neil Davey, Yi Sun:
Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning. 579-588 - Adriana Mihaela Coroiu, Alina Delia Calin, Maria Nutu:
Communication Style - An Analysis from the Perspective of Automated Learning. 589-597 - Adrián Muñoz, Alberto Suárez:
Directional Data Analysis for Shape Classification. 598-607 - Jirí Martínek, Ladislav Lenc, Pavel Král:
Semantic Space Transformations for Cross-Lingual Document Classification. 608-616 - Guillermo Sarasa, Ana Granados, Francisco B. Rodríguez:
Automatic Treatment of Bird Audios by Means of String Compression Applied to Sound Clustering in Xeno-Canto Database. 617-625 - Zongren Li, Yijie Wang, Guohong Zhao, Li Cheng, Xingkong Ma:
FROD: Fast and Robust Distance-Based Outlier Detection with Active-Inliers-Patterns in Data Streams. 626-636 - Chenxin Sun, Na Jiang, Lei Zhang, Yuehua Wang, Wei Wu, Zhong Zhou:
Unified Framework for Joint Attribute Classification and Person Re-identification. 637-647 - Adrian Horzyk, Krzysztof Goldon:
Associative Graph Data Structures Used for Acceleration of K Nearest Neighbor Classifiers. 648-658 - Mirko Polato, Fabio Aiolli:
A Game-Theoretic Framework for Interpretable Preference and Feature Learning. 659-668 - Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis:
A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection. 669-681
Fuzzy/Feature Selection
- Francisco de A. T. de Carvalho, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira:
Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation. 685-694 - Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho:
Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data. 695-705 - Atalya Waissman, Aharon Bar-Hillel:
Input-Dependably Feature-Map Pruning. 706-713 - Anirban Mitra, Arjun Sharma, Sumit Sharma, Sudip Roy:
Thermal Comfort Index Estimation and Parameter Selection Using Fuzzy Convolutional Neural Network. 714-724 - Serafeim Koutsomplias, Lazaros S. Iliadis:
Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece. 725-735 - Georgios Souliotis, Basil K. Papadopoulos:
Fuzzy Implications Generating from Fuzzy Negations. 736-744
Facial/Emotion Recognition
- Xinmin Zhang, Yingdong Ma:
Improving Ensemble Learning Performance with Complementary Neural Networks for Facial Expression Recognition. 747-759 - Ji Liu, Shuai Li, Wenfeng Song, Liang Liu, Hong Qin, Aimin Hao:
Automatic Beautification for Group-Photo Facial Expressions Using Novel Bayesian GANs. 760-770 - Maxime Sazadaly, Pierre Pinchon, Arthur Fagot, Lionel Prevost, Myriam Maumy-Bertrand:
Fast and Accurate Affect Prediction Using a Hierarchy of Random Forests. 771-781 - Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo, Qiang Yu:
Gender-Aware CNN-BLSTM for Speech Emotion Recognition. 782-790 - Ingryd Pereira, Diego Santos, Alexandre M. A. Maciel, Pablo V. A. Barros:
Semi-supervised Model for Emotion Recognition in Speech. 791-800 - Yannan Xing, Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, George Matich:
Real-Time Embedded Intelligence System: Emotion Recognition on Raspberry Pi with Intel NCS. 801-808
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