Artificial neural networks and machine learning -- ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part I

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27 th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning. Front Matter ....Pages I-XLIII Front Matter ....Pages 1-1 Fast CNN Pruning via Redundancy-Aware Training (Xiao Dong, Lei Liu, Guangli Li, Peng Zhao, Xiaobing Feng)....Pages 3-13 Two-Stream Convolutional Neural Network for Multimodal Matching (Youcai Zhang, Yiwei Gu, Xiaodong Gu)....Pages 14-21 Kernel Graph Convolutional Neural Networks (Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis)....Pages 22-32 A Histogram of Oriented Gradients for Broken Bars Diagnosis in Squirrel Cage Induction Motors (Luiz C. Silva, Cleber G. Dias, Wonder A. L. Alves)....Pages 33-42 Learning Game by Profit Sharing Using Convolutional Neural Network (Nobuaki Hasuike, Yuko Osana)....Pages 43-50 Detection of Fingerprint Alterations Using Deep Convolutional Neural Networks (Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne James)....Pages 51-60 A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations (Antonios Karatzoglou, Nikolai Schnell, Michael Beigl)....Pages 61-72 Neural Networks for Multi-lingual Multi-label Document Classification (Jiří Martínek, Ladislav Lenc, Pavel Král)....Pages 73-83 Multi-region Ensemble Convolutional Neural Network for Facial Expression Recognition (Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li)....Pages 84-94 Further Advantages of Data Augmentation on Convolutional Neural Networks (Alex Hernández-García, Peter König)....Pages 95-103 DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug–Target Interactions (Xiaoping Zheng, Song He, Xinyu Song, Zhongnan Zhang, Xiaochen Bo)....Pages 104-114 Hierarchical Convolution Neural Network for Emotion Cause Detection on Microblogs (Ying Chen, Wenjun Hou, Xiyao Cheng)....Pages 115-122 Direct Training of Dynamic Observation Noise with UMarineNet (Stefan Oehmcke, Oliver Zielinski, Oliver Kramer)....Pages 123-133 Convolutional Soft Decision Trees (Alper Ahmetoğlu, Ozan İrsoy, Ethem Alpaydın)....Pages 134-141 A Multi-level Attention Model for Text Matching (Qiang Sun, Yue Wu)....Pages 142-153 Attention Enhanced Chinese Word Embeddings (Xingzhang Ren, Leilei Zhang, Wei Ye, Hang Hua, Shikun Zhang)....Pages 154-165 Balancing Convolutional Neural Networks Pipeline in FPGAs (Mark Cappello Ferreira de Sousa, Miguel Angelo de Abreu de Sousa, Emilio Del-Moral-Hernandez)....Pages 166-175 Generating Diverse and Meaningful Captions (Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo Salton, John D. Kelleher)....Pages 176-187 Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification (K. Delibasis, Ilias Maglogiannis, S. Georgakopoulos, K. Kottari, V. Plagianakos)....Pages 188-196 Front Matter ....Pages 197-197 Balanced Cortical Microcircuitry-Based Network for Working Memory (Hui Wei, Zihao Su, Dawei Dai)....Pages 199-210 Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine (Juan Camilo Vasquez Tieck, Marin Vlastelica Pogančić, Jacques Kaiser, Arne Roennau, Marc-Oliver Gewaltig, Rüdiger Dillmann)....Pages 211-221 A Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks (Xianghong Lin, Guoyong Shi)....Pages 222-234 Artwork Retrieval Based on Similarity of Touch Using Convolutional Neural Network (Takayuki Fujita, Yuko Osana)....Pages 235-243 Microsaccades for Neuromorphic Stereo Vision (Jacques Kaiser, Jakob Weinland, Philip Keller, Lea Steffen, J. Camilo Vasquez Tieck, Daniel Reichard et al.)....Pages 244-252 A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement (René Larisch, Michael Teichmann, Fred H. Hamker)....Pages 253-262 Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks (Varun Bhatt, Udayan Ganguly)....Pages 263-272 Design of Spiking Rate Coded Logic Gates for C. elegans Inspired Contour Tracking (Shashwat Shukla, Sangya Dutta, Udayan Ganguly)....Pages 273-283 Gating Sensory Noise in a Spiking Subtractive LSTM (Isabella Pozzi, Roeland Nusselder, Davide Zambrano, Sander Bohté)....Pages 284-293 Spiking Signals in FOC Control Drive (L. M. Grzesiak, V. Meganck)....Pages 294-303 Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input (Chama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel)....Pages 304-313 Spiking Neural Networks Evolved to Perform Multiplicative Operations (Muhammad Aamir Khan, Volker Steuber, Neil Davey, Borys Wróbel)....Pages 314-321 Very Small Spiking Neural Networks Evolved for Temporal Pattern Recognition and Robust to Perturbed Neuronal Parameters (Muhammad Yaqoob, Borys Wróbel)....Pages 322-331 Front Matter ....Pages 333-333 Machine Learning to Predict Toxicity of Compounds (Ingrid Grenet, Yonghua Yin, Jean-Paul Comet, Erol Gelenbe)....Pages 335-345 Energy-Based Clustering for Pruning Heterogeneous Ensembles (Javier Cela, Alberto Suárez)....Pages 346-351 Real-Time Hand Gesture Recognition Based on Electromyographic Signals and Artificial Neural Networks (Cristhian Motoche, Marco E. Benalcázar)....Pages 352-361 Fast Communication Structure for Asynchronous Distributed ADMM Under Unbalance Process Arrival Pattern (Shuqing Wang, Yongmei Lei)....Pages 362-371 Improved Personalized Rankings Using Implicit Feedback (Josef Feigl, Martin Bogdan)....Pages 372-381 Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks (Chunjie Luo, Jianfeng Zhan, Xiaohe Xue, Lei Wang, Rui Ren, Qiang Yang)....Pages 382-391 Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges (Mandar V. Tabib, Ole Martin Løvvik, Kjetil Johannessen, Adil Rasheed, Espen Sagvolden, Anne Marthine Rustad)....Pages 392-401 Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge (Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng)....Pages 402-411 GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders (Martin Simonovsky, Nikos Komodakis)....Pages 412-422 Generation of Reference Trajectories for Safe Trajectory Planning (Amit Chaulwar, Michael Botsch, Wolfgang Utschick)....Pages 423-434 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 (Igor Isaev, Sergey Burikov, Tatiana Dolenko, Kirill Laptinskiy, Alexey Vervald, Sergey Dolenko)....Pages 435-444 Front Matter ....Pages 445-445 Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning (Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li)....Pages 447-455 Mitigating Concept Drift via Rejection (Jan Philip Göpfert, Barbara Hammer, Heiko Wersing)....Pages 456-467 Strategies to Enhance Pattern Recognition in Neural Networks Based on the Insect Olfactory System (Jessica Lopez-Hazas, Aaron Montero, Francisco B. Rodriguez)....Pages 468-475 HyperNets and Their Application to Learning Spatial Transformations (Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko)....Pages 476-486 Catastrophic Forgetting: Still a Problem for DNNs (B. Pfülb, A. Gepperth, S. Abdullah, A. Kilian)....Pages 487-497 Queue-Based Resampling for Online Class Imbalance Learning (Kleanthis Malialis, Christos Panayiotou, Marios M. Polycarpou)....Pages 498-507 Learning Simplified Decision Boundaries from Trapezoidal Data Streams (Ege Beyazit, Matin Hosseini, Anthony Maida, Xindong Wu)....Pages 508-517 Improving Active Learning by Avoiding Ambiguous Samples (Christian Limberg, Heiko Wersing, Helge Ritter)....Pages 518-527 Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks (Zheng Wang, Irena Koprinska)....Pages 528-537 Using Bag-of-Little Bootstraps for Efficient Ensemble Learning (Pablo de Viña, Gonzalo Martínez-Muñoz)....Pages 538-545 Learning Preferences for Large Scale Multi-label Problems (Ivano Lauriola, Mirko Polato, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli)....Pages 546-555 Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework (Ujjal Kr Dutta, C. Chandra Sekhar)....Pages 556-565 Online Approximation of Prediction Intervals Using Artificial Neural Networks (Myrianthi Hadjicharalambous, Marios M. Polycarpou, Christos G. Panayiotou)....Pages 566-576 Front Matter ....Pages 577-577 Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning (C. Llerena, D. Müller, R. Adams, N. Davey, Y. Sun)....Pages 579-588 Communication Style - An Analysis from the Perspective of Automated Learning (Adriana Mihaela Coroiu, Alina Delia Călin, Maria Nuțu)....Pages 589-597 Directional Data Analysis for Shape Classification (Adrián Muñoz, Alberto Suárez)....Pages 598-607 Semantic Space Transformations for Cross-Lingual Document Classification (Jiří Martínek, Ladislav Lenc, Pavel Král)....Pages 608-616 Automatic Treatment of Bird Audios by Means of String Compression Applied to Sound Clustering in Xeno-Canto Database (Guillermo Sarasa, Ana Granados, Francisco B. Rodriguez)....Pages 617-625 FROD: Fast and Robust Distance-Based Outlier Detection with Active-Inliers-Patterns in Data Streams (Zongren Li, Yijie Wang, Guohong Zhao, Li Cheng, Xingkong Ma)....Pages 626-636 Unified Framework for Joint Attribute Classification and Person Re-identification (Chenxin Sun, Na Jiang, Lei Zhang, Yuehua Wang, Wei Wu, Zhong Zhou)....Pages 637-647 Associative Graph Data Structures Used for Acceleration of K Nearest Neighbor Classifiers (Adrian Horzyk, Krzysztof Gołdon)....Pages 648-658 A Game-Theoretic Framework for Interpretable Preference and Feature Learning (Mirko Polato, Fabio Aiolli)....Pages 659-668 A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection (Konstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis)....Pages 669-681 Front Matter ....Pages 683-683 Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation (Francisco de A. T. de Carvalho, Lucas V. C. Santana, Marcelo R. P. Ferreira)....Pages 685-694 Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data (Sara Inés Rizo Rodríguez, Francisco de Assis Tenorio de Carvalho)....Pages 695-705 Input-Dependably Feature-Map Pruning (Atalya Waissman, Aharon Bar-Hillel)....Pages 706-713 Thermal Comfort Index Estimation and Parameter Selection Using Fuzzy Convolutional Neural Network (Anirban Mitra, Arjun Sharma, Sumit Sharma, Sudip Roy)....Pages 714-724 Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece (Serafeim Koutsomplias, Lazaros Iliadis)....Pages 725-735 Fuzzy Implications Generating from Fuzzy Negations (Georgios Souliotis, Basil Papadopoulos)....Pages 736-744 Front Matter ....Pages 745-745 Improving Ensemble Learning Performance with Complementary Neural Networks for Facial Expression Recognition (Xinmin Zhang, Yingdong Ma)....Pages 747-759 Automatic Beautification for Group-Photo Facial Expressions Using Novel Bayesian GANs (Ji Liu, Shuai Li, Wenfeng Song, Liang Liu, Hong Qin, Aimin Hao)....Pages 760-770 Fast and Accurate Affect Prediction Using a Hierarchy of Random Forests (Maxime Sazadaly, Pierre Pinchon, Arthur Fagot, Lionel Prevost, Myriam Maumy Bertrand)....Pages 771-781 Gender-Aware CNN-BLSTM for Speech Emotion Recognition (Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo, Qiang Yu)....Pages 782-790 Semi-supervised Model for Emotion Recognition in Speech (Ingryd Pereira, Diego Santos, Alexandre Maciel, Pablo Barros)....Pages 791-800 Real-Time Embedded Intelligence System: Emotion Recognition on Raspberry Pi with Intel NCS (Y. Xing, P. Kirkland, G. Di Caterina, J. Soraghan, G. Matich)....Pages 801-808 Back Matter ....Pages 809-824