Artificial Neural Networks and Machine Learning {u2013} ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II

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 139 full and 28 short papers as well as 41 full poster papers and 41 short poster 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-XXVIII Front Matter ....Pages 1-1 Rank-Revealing Orthogonal Decomposition in Extreme Learning Machine Design (Jacek Kabziński)....Pages 3-13 An Improved CAD Framework for Digital Mammogram Classification Using Compound Local Binary Pattern and Chaotic Whale Optimization-Based Kernel Extreme Learning Machine (Figlu Mohanty, Suvendu Rup, Bodhisattva Dash)....Pages 14-23 A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis (Hoang Minh Nguyen, Gaurav Kalra, Tae Joon Jun, Daeyoung Kim)....Pages 24-34 Front Matter ....Pages 35-35 A Model for Detection of Angular Velocity of Image Motion Based on the Temporal Tuning of the Drosophila (Huatian Wang, Jigen Peng, Paul Baxter, Chun Zhang, Zhihua Wang, Shigang Yue)....Pages 37-46 Local Decimal Pattern for Pollen Image Recognition (Liping Han, Yonghua Xie)....Pages 47-55 New Architecture of Correlated Weights Neural Network for Global Image Transformations (Sławomir Golak, Anna Jama, Marcin Blachnik, Tadeusz Wieczorek)....Pages 56-65 Compression-Based Clustering of Video Human Activity Using an ASCII Encoding (Guillermo Sarasa, Aaron Montero, Ana Granados, Francisco B. Rodriguez)....Pages 66-75 Front Matter ....Pages 77-77 Deep Autoencoders for Additional Insight into Protein Dynamics (Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor, Silvana Albert, Alessandro Pandini)....Pages 79-89 Pilot Design of a Rule-Based System and an Artificial Neural Network to Risk Evaluation of Atherosclerotic Plaques in Long-Range Clinical Research (Jiri Blahuta, Tomas Soukup, Jakub Skacel)....Pages 90-100 A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet (Haigen Hu, Kangjie Li, Qiu Guan, Feng Chen, Shengyong Chen, Yicheng Ni)....Pages 101-108 Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting (Baolin Du, Qi Qi, Han Zheng, Yue Huang, Xinghao Ding)....Pages 109-116 Epileptic Seizure Prediction from EEG Signals Using Unsupervised Learning and a Polling-Based Decision Process (Lucas Aparecido Silva Kitano, Miguel Angelo Abreu Sousa, Sara Dereste Santos, Ricardo Pires, Sigride Thome-Souza, Alexandre Brincalepe Campo)....Pages 117-126 Classification of Bone Tumor on CT Images Using Deep Convolutional Neural Network (Yang Li, Wenyu Zhou, Guiwen Lv, Guibo Luo, Yuesheng Zhu, Ji Liu)....Pages 127-136 DSL: Automatic Liver Segmentation with Faster R-CNN and DeepLab (Wei Tang, Dongsheng Zou, Su Yang, Jing Shi)....Pages 137-147 Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound (Nicoló Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana)....Pages 148-157 An Original Neural Network for Pulmonary Tuberculosis Diagnosis in Radiographs (Junyu Liu, Yang Liu, Cheng Wang, Anwei Li, Bowen Meng, Xiangfei Chai et al.)....Pages 158-166 Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images (Karima Ben-Suliman, Adam Krzyżak)....Pages 167-178 Right Ventricle Segmentation in Cardiac MR Images Using U-Net with Partly Dilated Convolution (Gregory Borodin, Olga Senyukova)....Pages 179-185 Model Based on Support Vector Machine for the Estimation of the Heart Rate Variability (Catalina Maria Hernández-Ruiz, Sergio Andrés Villagrán Martínez, Johan Enrique Ortiz Guzmán, Paulo Alonso Gaona Garcia)....Pages 186-194 High-Resolution Generative Adversarial Neural Networks Applied to Histological Images Generation (Antoni Mauricio, Jorge López, Roger Huauya, Jose Diaz)....Pages 195-202 Front Matter ....Pages 203-203 Tensor Learning in Multi-view Kernel PCA (Lynn Houthuys, Johan A. K. Suykens)....Pages 205-215 Front Matter ....Pages 217-217 ACM: Learning Dynamic Multi-agent Cooperation via Attentional Communication Model (Xue Han, Hongping Yan, Junge Zhang, Lingfeng Wang)....Pages 219-229 Improving Fuel Economy with LSTM Networks and Reinforcement Learning (Andreas Bougiouklis, Antonis Korkofigkas, Giorgos Stamou)....Pages 230-239 Action Markets in Deep Multi-Agent Reinforcement Learning (Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan)....Pages 240-249 Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks (Marios Karamanis, Davide Zambrano, Sander Bohté)....Pages 250-262 Reinforcement Learning for Joint Extraction of Entities and Relations (Wenpeng Liu, Yanan Cao, Yanbing Liu, Yue Hu, Jianlong Tan)....Pages 263-272 Front Matter ....Pages 273-273 TextNet for Text-Related Image Quality Assessment (Hongyu Li, Junhua Qiu, Fan Zhu)....Pages 275-285 A Target Dominant Sets Clustering Algorithm (Jian Hou, Chengcong Lv, Aihua Zhang, Xu E.)....Pages 286-295 Input Pattern Complexity Determines Specialist and Generalist Populations in Drosophila Neural Network (Aaron Montero, Jessica Lopez-Hazas, Francisco B. Rodriguez)....Pages 296-303 A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation (Xiaomao Zhou, Cornelius Weber, Chandrakant Bothe, Stefan Wermter)....Pages 304-311 Front Matter ....Pages 313-313 Check Regularization: Combining Modularity and Elasticity for Memory Consolidation (Taisuke Kobayashi)....Pages 315-325 Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations (Xiaofang Zhang, Qian Zhou, Tieke He, Bin Liang)....Pages 326-336 Real-Time Session-Based Recommendations Using LSTM with Neural Embeddings (David Lenz, Christian Schulze, Michael Guckert)....Pages 337-348 Imbalanced Data Classification Based on MBCDK-means Undersampling and GA-ANN (Anping Song, Quanhua Xu)....Pages 349-358 Evolutionary Tuning of a Pulse Mormyrid Electromotor Model to Generate Stereotyped Sequences of Electrical Pulse Intervals (Angel Lareo, Pablo Varona, F. B. Rodriguez)....Pages 359-368 An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization (Rafet Sifa)....Pages 369-379 Front Matter ....Pages 381-381 A Bio-Feasible Computational Circuit for Neural Activities Persisting and Decaying (Dai Dawei, Weihui, Su Zihao)....Pages 383-392 Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit (Alessandra Lintas, Takeshi Abe, Alessandro E. P. Villa, Yoshiyuki Asai)....Pages 393-402 A Temporal Estimate of Integrated Information for Intracranial Functional Connectivity (Xerxes D. Arsiwalla, Daniel Pacheco, Alessandro Principe, Rodrigo Rocamora, Paul Verschure)....Pages 403-412 Front Matter ....Pages 413-413 Randomization vs Optimization in SVM Ensembles (Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez)....Pages 415-421 An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities (Alexander Gepperth, Ayanava Sarkar, Thomas Kopinski)....Pages 422-433 A Hierarchy Based Influence Maximization Algorithm in Social Networks (Lingling Li, Kan Li, Chao Xiang)....Pages 434-443 Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification (Antreas Dionysiou, Michalis Agathocleous, Chris Christodoulou, Vasilis Promponas)....Pages 444-455 Classification of SIP Attack Variants with a Hybrid Self-enforcing Network (Waldemar Hartwig, Christina Klüver, Adnan Aziz, Dirk Hoffstadt)....Pages 456-466 Front Matter ....Pages 467-467 Generalized Multi-view Unsupervised Feature Selection (Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu)....Pages 469-478 Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning (Juan Qiu, Qingfeng Du, Yu He, YiQun Lin, Jiaye Zhu, Kanglin Yin)....Pages 479-488 Emergence of Sensory Representations Using Prediction in Partially Observable Environments (Thibaut Kulak, Michael Garcia Ortiz)....Pages 489-498 Front Matter ....Pages 499-499 Change Detection in Individual Users’ Behavior (Parisa Rastin, Guénaël Cabanes, Basarab Matei, Jean-Marc Marty)....Pages 501-510 Extraction and Localization of Non-contaminated Alpha and Gamma Oscillations from EEG Signal Using Finite Impulse Response, Stationary Wavelet Transform, and Custom FIR (Najmeddine Abdennour, Abir Hadriche, Tarek Frikha, Nawel Jmail)....Pages 511-520 Front Matter ....Pages 521-521 Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor (Daisuke Karakama, Norihito Katamura, Chigusa Nakano, Yuko Osana)....Pages 523-531 Computation of Air Traffic Flow Management Performance with Long Short-Term Memories Considering Weather Impact (Stefan Reitmann, Michael Schultz)....Pages 532-541 Front Matter ....Pages 543-543 A Study on the Influence of Wavelet Number Change in the Wavelet Neural Network Architecture for 3D Mesh Deformation Using Trust Region Spherical Parameterization (Naziha Dhibi, Akram Elkefai, Chokri Ben Amar)....Pages 545-555 Combining Memory and Non-linearity in Echo State Networks (Eleonora Di Gregorio, Claudio Gallicchio, Alessio Micheli)....Pages 556-566 A Neural Network of Multiresolution Wavelet Analysis (Alexander Efitorov, Vladimir Shiroky, Sergey Dolenko)....Pages 567-574 Front Matter ....Pages 575-575 Fast Supervised Selection of Prototypes for Metric-Based Learning (Lluís A. Belanche)....Pages 577-586 Modeling Data Center Temperature Profile in Terms of a First Order Polynomial RBF Network Trained by Particle Swarm Optimization (Ioannis A. Troumbis, George E. Tsekouras, Christos Kalloniatis, Panagiotis Papachiou, Dias Haralambopoulos)....Pages 587-595 Incorporating Worker Similarity for Label Aggregation in Crowdsourcing (Jiyi Li, Yukino Baba, Hisashi Kashima)....Pages 596-606 NoSync: Particle Swarm Inspired Distributed DNN Training (Mihailo Isakov, Michel A. Kinsy)....Pages 607-619 Back Matter ....Pages 621-632 This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The 139 full and 28 short papers as well as 41 full poster papers and 41 short poster 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 {u2013} 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