Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV

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The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. Front Matter ....Pages i-xxx Front Matter ....Pages 1-1 An Ensemble Model for Winning a Chinese Machine Reading Comprehension Competition (Jun He, Yongjing Cheng, Min Wang, Jingyu Xie, Wei Xie, Rui Su et al.)....Pages 3-8 Dependent Multilevel Interaction Network for Natural Language Inference (Yun Li, Yan Yang, Yong Deng, Qinmin Vivian Hu, Chengcai Chen, Liang He et al.)....Pages 9-21 Learning to Explain Chinese Slang Words (Chuanrun Yi, Dong Wang, Chunyu He, Ying Sha)....Pages 22-33 Attention-Based Improved BLSTM-CNN for Relation Classification (Qifeng Xiao, Ming Gao, Shaochun Wu, Xiaoqi Sun)....Pages 34-43 An Improved Method of Applying a Machine Translation Model to a Chinese Word Segmentation Task (Yuekun Wei, Binbin Qu, Nan Hu, Liu Han)....Pages 44-54 Interdependence Model for Multi-label Classification (Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima)....Pages 55-68 Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents (Renato Garita Figueiredo, Kai-Uwe Kühnberger, Gordon Pipa, Tobias Thelen)....Pages 69-75 Front Matter ....Pages 77-77 Collaborative Attention Network with Word and N-Gram Sequences Modeling for Sentiment Classification (Junwei Bao, Liang Zhang, Bo Han)....Pages 79-92 Targeted Sentiment Classification with Attentional Encoder Network (Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao)....Pages 93-103 Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering (Minghui Yan, Changjian Wang, Ying Sha)....Pages 104-116 Imbalanced Sentiment Classification Enhanced with Discourse Marker (Tao Zhang, Xing Wu, Meng Lin, Jizhong Han, Songlin Hu)....Pages 117-129 Revising Attention with Position for Aspect-Level Sentiment Classification (Dong Wang, Tingwen Liu, Bin Wang)....Pages 130-142 Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification (Yuheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao)....Pages 143-155 Front Matter ....Pages 157-157 Mid Roll Advertisement Placement Using Multi Modal Emotion Analysis (Sumanu Rawat, Aman Chopra, Siddhartha Singh, Shobhit Sinha)....Pages 159-171 DCAR: Deep Collaborative Autoencoder for Recommendation with Implicit Feedback (Jiong Wang, Neng Gao, Jia Peng, Jingjie Mo)....Pages 172-184 Jointly Learning to Detect Emotions and Predict Facebook Reactions (Lisa Graziani, Stefano Melacci, Marco Gori)....Pages 185-197 Discriminative Feature Learning for Speech Emotion Recognition (Yuying Zhang, Yuexian Zou, Junyi Peng, Danqing Luo, Dongyan Huang)....Pages 198-210 Front Matter ....Pages 211-211 A Judicial Sentencing Method Based on Fused Deep Neural Networks (Yuhan Yin, Hongtian Yang, Zhihong Zhao, Songyu Chen)....Pages 213-226 SECaps: A Sequence Enhanced Capsule Model for Charge Prediction (Congqing He, Li Peng, Yuquan Le, Jiawei He, Xiangyu Zhu)....Pages 227-239 Learning to Predict Charges for Judgment with Legal Graph (Si Chen, Pengfei Wang, Wei Fang, Xingchen Deng, Feng Zhang)....Pages 240-252 A Recurrent Attention Network for Judgment Prediction (Ze Yang, Pengfei Wang, Lei Zhang, Linjun Shou, Wenwen Xu)....Pages 253-266 Front Matter ....Pages 267-267 Symmetrical Adversarial Training Network: A Novel Model for Text Generation (Yongzhen Gao, ChongJun Wang)....Pages 269-280 A Novel Image Captioning Method Based on Generative Adversarial Networks (Yang Fan, Jungang Xu, Yingfei Sun, Yiyu Wang)....Pages 281-292 Quality-Diversity Summarization with Unsupervised Autoencoders (Lei Li, Zuying Huang, Natalia Vanetik, Marina Litvak)....Pages 293-299 Conditional GANs for Image Captioning with Sentiments (Tushar Karayil, Asif Irfan, Federico Raue, Jörn Hees, Andreas Dengel)....Pages 300-312 Neural Poetry: Learning to Generate Poems Using Syllables (Andrea Zugarini, Stefano Melacci, Marco Maggini)....Pages 313-325 Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language (Yatu Ji, Hongxu Hou, Nier Wu, Junjie Chen)....Pages 326-336 RL Extraction of Syntax-Based Chunks for Sentence Compression (Hoa T. Le, Christophe Cerisara, Claire Gardent)....Pages 337-347 Front Matter ....Pages 349-349 Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks (Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang)....Pages 351-361 Neuro-Spectral Audio Synthesis: Exploiting Characteristics of the Discrete Fourier Transform in the Real-Time Simulation of Musical Instruments Using Parallel Neural Networks (Carlos Tarjano, Valdecy Pereira)....Pages 362-375 Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface (Hongchang Shan, Yu Liu, Todor Stefanov)....Pages 376-394 Front Matter ....Pages 395-395 Deep Recurrent Neural Networks with Nonlinear Masking Layers and Two-Level Estimation for Speech Separation (Jiantao Zhang, Pingjian Zhang)....Pages 397-411 Auto-Lag Networks for Real Valued Sequence to Sequence Prediction (Gilles Madi Wamba, Nicolas Gaude)....Pages 412-425 LSTM Prediction on Sudden Occurrence of Maintenance Operation of Air-Conditioners in Real-Time Pricing Adaptive Control (Shun Matsukawa, Chuzo Ninagawa, Junji Morikawa, Takashi Inaba, Seiji Kondo)....Pages 426-435 Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting (Irena Koprinska, Mashud Rana, Ashfaqur Rahman)....Pages 436-449 Timage – A Robust Time Series Classification Pipeline (Marc Wenninger, Sebastian P. Bayerl, Jochen Schmidt, Korbinian Riedhammer)....Pages 450-461 Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes (Flávia Dias Casagrande, Jim Tørresen, Evi Zouganeli)....Pages 462-473 Multi-task Learning Method for Hierarchical Time Series Forecasting (Maoxin Yang, Qinghua Hu, Yun Wang)....Pages 474-485 Demand-Prediction Architecture for Distribution Businesses Based on Multiple RNNs with Alternative Weight Update (Yuya Okadome, Wenpeng Wei, Ryo Sakai, Toshiko Aizono)....Pages 486-496 A Study of Deep Learning for Network Traffic Data Forecasting (Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger)....Pages 497-512 Composite Quantile Regression Long Short-Term Memory Network (Zongxia Xie, Hao Wen)....Pages 513-524 Short-Term Temperature Forecasting on a Several Hours Horizon (Louis Desportes, Pierre Andry, Inbar Fijalkow, Jérôme David)....Pages 525-536 Using Long Short-Term Memory for Wavefront Prediction in Adaptive Optics (Xuewen Liu, Tim Morris, Chris Saunter)....Pages 537-542 Incorporating Adaptive RNN-Based Action Inference and Sensory Perception (Sebastian Otte, Jakob Stoll, Martin V. Butz)....Pages 543-555 Quality of Prediction of Daily Relativistic Electrons Flux at Geostationary Orbit by Machine Learning Methods (Irina Myagkova, Alexander Efitorov, Vladimir Shiroky, Sergey Dolenko)....Pages 556-565 Front Matter ....Pages 567-567 Soft Subspace Growing Neural Gas for Data Stream Clustering (Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune)....Pages 569-580 Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks (Anna Kiss, Csaba Sulyok, Zalán Bodó)....Pages 581-594 Merging DBSCAN and Density Peak for Robust Clustering (Jian Hou, Chengcong Lv, Aihua Zhang, Xu E)....Pages 595-610 Market Basket Analysis Using Boltzmann Machines (Mauricio A. Valle, Gonzalo A. Ruz)....Pages 611-623 Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data (Givanna H. Putri, Mark N. Read, Irena Koprinska, Thomas M. Ashhurst, Nicholas J. C. King)....Pages 624-640 Improving Deep Image Clustering with Spatial Transformer Layers (Thiago V. M. Souza, Cleber Zanchettin)....Pages 641-654 Collaborative Non-negative Matrix Factorization (Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Basarab Matei)....Pages 655-666 Front Matter ....Pages 667-667 Cosine Similarity Drift Detector (Juan Isidro González Hidalgo, Laura Maria Palomino Mariño, Roberto Souto Maior de Barros)....Pages 669-685 Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance (Amina Alaoui-Belghiti, Sylvain Chevallier, Eric Monacelli)....Pages 686-697 Robust Gait Authentication Using Autoencoder and Decision Tree (Mitsuhiro Ogihara, Hideyuki Mizuno)....Pages 698-702 MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks (Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng)....Pages 703-716 Intrusion Detection via Wide and Deep Model (Zhipeng Li, Zheng Qin, Pengbo Shen)....Pages 717-730 Towards Attention Based Vulnerability Discovery Using Source Code Representation (Junae Kim, David Hubczenko, Paul Montague)....Pages 731-746 Convolutional Recurrent Neural Networks for Computer Network Analysis (Jakub Nowak, Marcin Korytkowski, Rafał Scherer)....Pages 747-757 Back Matter ....Pages 759-761