دانلود کتاب 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

فهرست مطالب :

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