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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

  • Igor V. Tetko
  • Věra Kůrková
  • Pavel Karpov
  • Fabian Theis
Conference proceedings ICANN 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11730)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11730)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Text Understanding

    1. Front Matter
      Pages 1-1
    2. Jun He, Yongjing Cheng, Min Wang, Jingyu Xie, Wei Xie, Rui Su et al.
      Pages 3-8
    3. Yun Li, Yan Yang, Yong Deng, Qinmin Vivian Hu, Chengcai Chen, Liang He et al.
      Pages 9-21
    4. Chuanrun Yi, Dong Wang, Chunyu He, Ying Sha
      Pages 22-33
    5. Qifeng Xiao, Ming Gao, Shaochun Wu, Xiaoqi Sun
      Pages 34-43
    6. Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima
      Pages 55-68
    7. Renato Garita Figueiredo, Kai-Uwe Kühnberger, Gordon Pipa, Tobias Thelen
      Pages 69-75
  3. Sentiment Classification

    1. Front Matter
      Pages 77-77
    2. Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao
      Pages 93-103
    3. Tao Zhang, Xing Wu, Meng Lin, Jizhong Han, Songlin Hu
      Pages 117-129
    4. Yuheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao
      Pages 143-155
  4. Human Reaction Prediction

    1. Front Matter
      Pages 157-157
    2. Sumanu Rawat, Aman Chopra, Siddhartha Singh, Shobhit Sinha
      Pages 159-171
    3. Jiong Wang, Neng Gao, Jia Peng, Jingjie Mo
      Pages 172-184
    4. Lisa Graziani, Stefano Melacci, Marco Gori
      Pages 185-197
    5. Yuying Zhang, Yuexian Zou, Junyi Peng, Danqing Luo, Dongyan Huang
      Pages 198-210
  5. Judgment Prediction

    1. Front Matter
      Pages 211-211
    2. Yuhan Yin, Hongtian Yang, Zhihong Zhao, Songyu Chen
      Pages 213-226
    3. Congqing He, Li Peng, Yuquan Le, Jiawei He, Xiangyu Zhu
      Pages 227-239
    4. Si Chen, Pengfei Wang, Wei Fang, Xingchen Deng, Feng Zhang
      Pages 240-252
    5. Ze Yang, Pengfei Wang, Lei Zhang, Linjun Shou, Wenwen Xu
      Pages 253-266
  6. Text Generation

    1. Front Matter
      Pages 267-267
    2. Yang Fan, Jungang Xu, Yingfei Sun, Yiyu Wang
      Pages 281-292
    3. Lei Li, Zuying Huang, Natalia Vanetik, Marina Litvak
      Pages 293-299
    4. Tushar Karayil, Asif Irfan, Federico Raue, Jörn Hees, Andreas Dengel
      Pages 300-312
    5. Andrea Zugarini, Stefano Melacci, Marco Maggini
      Pages 313-325
    6. Hoa T. Le, Christophe Cerisara, Claire Gardent
      Pages 337-347
  7. Sound Processing

  8. Time Series and Forecasting

    1. Front Matter
      Pages 395-395
    2. Gilles Madi Wamba, Nicolas Gaude
      Pages 412-425
    3. Shun Matsukawa, Chuzo Ninagawa, Junji Morikawa, Takashi Inaba, Seiji Kondo
      Pages 426-435
    4. Marc Wenninger, Sebastian P. Bayerl, Jochen Schmidt, Korbinian Riedhammer
      Pages 450-461
    5. Flávia Dias Casagrande, Jim Tørresen, Evi Zouganeli
      Pages 462-473
    6. Maoxin Yang, Qinghua Hu, Yun Wang
      Pages 474-485
    7. Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger
      Pages 497-512
    8. Louis Desportes, Pierre Andry, Inbar Fijalkow, Jérôme David
      Pages 525-536

Other volumes

  1. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I
  2. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II
  3. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III
  4. 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
  5. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings

About these proceedings

Introduction

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. 

Keywords

artificial intelligence classification clustering computational linguistics computer networks Human-Computer Interaction (HCI) image processing image reconstruction image segmentation imaging systems learning algorithms machine learning neural networks recurrent neural networks robotics semantics sensors signal processing Support Vector Machines (SVM) user interfaces

Editors and affiliations

  1. 1.Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)NeuherbergGermany
  2. 2.Institute of Computer ScienceCzech Academy of SciencesPrague 8Czech Republic
  3. 3.Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)NeuherbergGermany
  4. 4.Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)NeuherbergGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-30490-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-30489-8
  • Online ISBN 978-3-030-30490-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site