Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II

Front Matter ....Pages I-XXXI
Front Matter ....Pages 1-1
 Spiking Convolutional Deep Belief Networks  (Jacques Kaiser, David Zimmerer, J. Camilo Vasquez Tieck, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann)....Pages 3-11
 Convolutional Neural Network for Pixel-Wise Skyline Detection  (Darian Frajberg, Piero Fraternali, Rocio Nahime Torres)....Pages 12-20
 1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation  (Partha Maji, Robert Mullins)....Pages 21-29
 Shortcut Convolutional Neural Networks for Classification of Gender and Texture  (Ting Zhang, Yujian Li, Zhaoying Liu)....Pages 30-39
 Word Embedding Dropout and Variable-Length Convolution Window in Convolutional Neural Network for Sentiment Classification  (Shangdi Sun, Xiaodong Gu)....Pages 40-48
 Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer  (Bingzhe Wu, Zhichao Liu, Zhihang Yuan, Guangyu Sun, Charles Wu)....Pages 49-55
 An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation  (Qi Wang, Jungang Xu, Ben He, Zhengcai Qin)....Pages 56-63
 Parallel Implementation of a Bug Report Assignment Recommender Using Deep Learning  (Adrian-Cătălin Florea, John Anvik, Răzvan Andonie)....Pages 64-71
 A Deep Learning Approach to Detect Distracted Drivers Using a Mobile Phone  (Renato Torres, Orlando Ohashi, Eduardo Carvalho, Gustavo Pessin)....Pages 72-79
 A Multi-level Weighted Representation for Person Re-identification  (Xianglai Meng, Biao Leng, Guanglu Song)....Pages 80-88
Front Matter ....Pages 89-89
 DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks  (Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David)....Pages 91-99
 Estimation of the Change of Agents Behavior Strategy Using State-Action History  (Shihori Uchida, Sigeyuki Oba, Shin Ishii)....Pages 100-107
Front Matter ....Pages 109-109
 Generalising the Discriminative Restricted Boltzmann Machines  (Srikanth Cherla, Son N. Tran, Artur d’Avila Garcez, Tillman Weyde)....Pages 111-119
 Extracting M of N Rules from Restricted Boltzmann Machines  (Simon Odense, Artur d’Avila Garcez)....Pages 120-127
 Generalized Entropy Cost Function in Neural Networks  (Krzysztof Gajowniczek, Leszek J. Chmielewski, Arkadiusz Orłowski, Tomasz Ząbkowski)....Pages 128-136
 Learning from Noisy Label Distributions  (Yuya Yoshikawa)....Pages 137-145
 Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization  (Masahiro Kohjima, Sumio Watanabe)....Pages 146-154
 Link Enrichment for Diffusion-Based Graph Node Kernels  (Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa)....Pages 155-162
Front Matter ....Pages 163-163
 Classless Association Using Neural Networks  (Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki)....Pages 165-173
 Shape from Shading by Model Inclusive Learning Method with Simultaneous Estimation of Parameters  (Yasuaki Kuroe, Hajimu Kawakami)....Pages 174-182
 Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning  (Ivano Lauriola, Mirko Polato, Fabio Aiolli)....Pages 183-191
 Learning a Compositional Hierarchy of Disparity Descriptors for 3D Orientation Estimation in an Active Fixation Setting  (Katerina Kalou, Agostino Gibaldi, Andrea Canessa, Silvio P. Sabatini)....Pages 192-199
 A Priori Reliability Prediction with Meta-Learning Based on Context Information  (Jennifer Kreger, Lydia Fischer, Stephan Hasler, Thomas H. Weisswange, Ute Bauer-Wersing)....Pages 200-207
 Attention Aware Semi-supervised Framework for Sentiment Analysis  (Jingshuang Liu, Wenge Rong, Chuan Tian, Min Gao, Zhang Xiong)....Pages 208-215
 Chinese Lexical Normalization Based on Information Extraction: An Experimental Study  (Tian Tian, WeiRan Xu)....Pages 216-223
 Analysing Event Transitions to Discover Student Roles and Predict Grades in MOOCs  (Ángel Pérez-Lemonche, Gonzalo Martínez-Muñoz, Estrella Pulido-Cañabate)....Pages 224-232
 Applying Artificial Neural Networks on Two-Layer Semantic Trajectories for Predicting the Next Semantic Location  (Antonios Karatzoglou, Harun Sentürk, Adrian Jablonski, Michael Beigl)....Pages 233-241
 Model-Aware Representation Learning for Categorical Data with Hierarchical Couplings  (Jianglong Song, Chengzhang Zhu, Wentao Zhao, Wenjie Liu, Qiang Liu)....Pages 242-249
 Perceptron-Based Ensembles and Binary Decision Trees for Malware Detection  (Cristina Vatamanu, Doina Cosovan, Dragoş Gavriluţ, Henri Luchian)....Pages 250-259
 Multi-column Deep Neural Network for Offline Arabic Handwriting Recognition  (Rolla Almodfer, Shengwu Xiong, Mohammed Mudhsh, Pengfei Duan)....Pages 260-267
 Using LSTMs to Model the Java Programming Language  (Brendon Boldt)....Pages 268-275
Front Matter ....Pages 277-277
 Classification of Categorical Data in the Feature Space of Monotone DNFs  (Mirko Polato, Ivano Lauriola, Fabio Aiolli)....Pages 279-286
 DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders  (Ido Cohen, Eli (Omid) David, Nathan S. Netanyahu, Noa Liscovitch, Gal Chechik)....Pages 287-296
 Mental Workload Classification Based on Semi-Supervised Extreme Learning Machine  (Jianrong Li, Jianhua Zhang)....Pages 297-304
 View-Weighted Multi-view K-means Clustering  (Hong Yu, Yahong Lian, Shu Li, JiaXin Chen)....Pages 305-312
 Indefinite Support Vector Regression  (Frank-Michael Schleif)....Pages 313-321
 Instance-Adaptive Attention Mechanism for Relation Classification  (Yao Lu, Chunyun Zhang, Weiran Xu)....Pages 322-330
 ReForeSt: Random Forests in Apache Spark  (Alessandro Lulli, Luca Oneto, Davide Anguita)....Pages 331-339
 Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization  (Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu)....Pages 340-348
 Masked Conditional Neural Networks for Audio Classification  (Fady Medhat, David Chesmore, John Robinson)....Pages 349-358
 A Feature Selection Approach Based on Information Theory for Classification Tasks  (Jhoseph Jesus, Anne Canuto, Daniel Araújo)....Pages 359-367
 Two-Level Neural Network for Multi-label Document Classification  (Ladislav Lenc, Pavel Král)....Pages 368-375
 Ontology Alignment with Weightless Neural Networks  (Thais Viana, Carla Delgado, João C. P. da Silva, Priscila Lima)....Pages 376-384
 Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction  (Luca Oneto, Andrea Coraddu, Paolo Sanetti, Olena Karpenko, Francesca Cipollini, Toine Cleophas et al.)....Pages 385-393
 Combining Character-Level Representation for Relation Classification  (Dongyun Liang, Weiran Xu, Yinge Zhao)....Pages 394-401
 On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables  (Ricardo A. M. da Silva, Francisco de A. T. de Carvalho)....Pages 402-410
 PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data  (Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Ramesh Dharavath)....Pages 411-419
Front Matter ....Pages 421-421
 Modularity-Driven Kernel k-means for Community Detection  (Felix Sommer, François Fouss, Marco Saerens)....Pages 423-433
 Measuring Clustering Model Complexity  (Stefano Rovetta, Francesco Masulli, Alberto Cabri)....Pages 434-441
 GNMF Revisited: Joint Robust k-NN Graph and Reconstruction-Based Graph Regularization for Image Clustering  (Feng Gu, Wenju Zhang, Xiang Zhang, Chenxu Wang, Xuhui Huang, Zhigang Luo)....Pages 442-449
 Two Staged Fuzzy SVM Algorithm and Beta-Elliptic Model for Online Arabic Handwriting Recognition  (Ramzi Zouari, Houcine Boubaker, Monji Kherallah)....Pages 450-458
 Evaluating the Compression Efficiency of the Filters in Convolutional Neural Networks  (Kazuki Osawa, Rio Yokota)....Pages 459-466
 Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity  (Carine A. Dantas, Rômulo O. Nunes, Anne M. P. Canuto, João C. Xavier-Júnior)....Pages 467-474
Front Matter ....Pages 475-475
 Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance  (Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter)....Pages 477-485
 Solar Power Forecasting Using Pattern Sequences  (Zheng Wang, Irena Koprinska, Mashud Rana)....Pages 486-494
 A New Methodology to Exploit Predictive Power in (Open, High, Low, Close) Data  (Andrew D. Mann, Denise Gorse)....Pages 495-502
 Recurrent Dynamical Projection for Time Series-Based Fraud Detection  (Eric A. Antonelo, Radu State)....Pages 503-511
 Transfer Information Energy: A Quantitative Causality Indicator Between Time Series  (Angel Caţaron, Răzvan Andonie)....Pages 512-519
 Improving Our Understanding of the Behavior of Bees Through Anomaly Detection Techniques  (Fernando Gama, Helder M. Arruda, Hanna V. Carvalho, Paulo de Souza, Gustavo Pessin)....Pages 520-527
 Applying Bidirectional Long Short-Term Memories (BLSTM) to Performance Data in Air Traffic Management for System Identification  (Stefan Reitmann, Karl Nachtigall)....Pages 528-536
Front Matter ....Pages 537-537
 A Novel Image Tag Completion Method Based on Convolutional Neural Transformation  (Yanyan Geng, Guohui Zhang, Weizhi Li, Yi Gu, Ru-Ze Liang, Gaoyuan Liang et al.)....Pages 539-546
 Reducing Unknown Unknowns with Guidance in Image Caption  (Mengjun Ni, Jing Yang, Xin Lin, Liang He)....Pages 547-555
 A Novel Method for Ship Detection and Classification on Remote Sensing Images  (Ying Liu, Hongyuan Cui, Guoqing Li)....Pages 556-564
 Single Image Super-Resolution by Learned Double Sparsity Dictionaries Combining Bootstrapping Method  (Na Ai, Jinye Peng, Jun Wang, Lin Wang, Jin Qi)....Pages 565-573
 Attention Focused Spatial Pyramid Pooling for Boxless Action Recognition in Still Images  (Weijiang Feng, Xiang Zhang, Xuhui Huang, Zhigang Luo)....Pages 574-581
 The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks  (Miguel D. de S. Wanderley, Leonardo de A. e Bueno, Cleber Zanchettin, Adriano L. I. Oliveira)....Pages 582-589
 Real-Time Face Detection Using Artificial Neural Networks  (Pablo S. Aulestia, Jonathan S. Talahua, Víctor H. Andaluz, Marco E. Benalcázar)....Pages 590-599
 On the Performance of Classic and Deep Neural Models in Image Recognition  (Ricardo García-Ródenas, Luis Jiménez Linares, Julio Alberto López-Gómez)....Pages 600-608
 Winograd Algorithm for 3D Convolution Neural Networks  (Zelong Wang, Qiang Lan, Hongjun He, Chunyuan Zhang)....Pages 609-616
 Core Sampling Framework for Pixel Classification  (Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay)....Pages 617-625
 Biomedical Data Augmentation Using Generative Adversarial Neural Networks  (Francesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina)....Pages 626-634
 Detection of Diabetic Retinopathy Based on a Convolutional Neural Network Using Retinal Fundus Images  (Gabriel García, Jhair Gallardo, Antoni Mauricio, Jorge López, Christian Del Carpio)....Pages 635-642
 A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations  (Adrian Ion-Mărgineanu, Gabriel Kocevar, Claudio Stamile, Diana M. Sima, Françoise Durand-Dubief, Sabine Van Huffel et al.)....Pages 643-651
Front Matter ....Pages 653-653
 Parallel-Pathway Generator for Generative Adversarial Networks to Generate High-Resolution Natural Images  (Yuya Okadome, Wenpeng Wei, Toshiko Aizono)....Pages 655-662
 Using Echo State Networks for Cryptography  (Rajkumar Ramamurthy, Christian Bauckhage, Krisztian Buza, Stefan Wrobel)....Pages 663-671
 Two Alternative Criteria for a Split-Merge MCMC on Dirichlet Process Mixture Models  (Tikara Hosino)....Pages 672-679
 FP-MRBP: Fine-grained Parallel MapReduce Back Propagation Algorithm  (Gang Ren, Qingsong Hua, Pan Deng, Chao Yang)....Pages 680-687
 IQNN: Training Quantized Neural Networks with Iterative Optimizations  (Shuchang Zhou, He Wen, Taihong Xiao, Xinyu Zhou)....Pages 688-695
 Compressing Neural Networks by Applying Frequent Item-Set Mining  (Zi-Yi Dou, Shu-Jian Huang, Yi-Fan Su)....Pages 696-704
 Applying the Heavy-Tailed Kernel to the Gaussian Process Regression for Modeling Point of Sale Data   (Rui Yang, Yukio Ohsawa)....Pages 705-712
 Chaotic Associative Memory with Adaptive Scaling Factor  (Tatsuuya Okada, Yuko Osana)....Pages 713-721
Back Matter ....Pages 723-801