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  • © 2019

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

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

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Conference series link(s): ICANN: International Conference on Artificial Neural Networks

Conference proceedings info: ICANN 2019.

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  • ISBN: 978-3-030-30490-4
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Table of contents (59 papers)

  1. Front Matter

    Pages i-xxx
  2. Text Understanding

    1. Front Matter

      Pages 1-1
    2. 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
    3. 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
    4. Learning to Explain Chinese Slang Words

      • Chuanrun Yi, Dong Wang, Chunyu He, Ying Sha
      Pages 22-33
    5. Attention-Based Improved BLSTM-CNN for Relation Classification

      • Qifeng Xiao, Ming Gao, Shaochun Wu, Xiaoqi Sun
      Pages 34-43
    6. Interdependence Model for Multi-label Classification

      • Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima
      Pages 55-68
    7. 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
  3. Sentiment Classification

    1. Front Matter

      Pages 77-77
    2. Targeted Sentiment Classification with Attentional Encoder Network

      • Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao
      Pages 93-103
    3. Imbalanced Sentiment Classification Enhanced with Discourse Marker

      • Tao Zhang, Xing Wu, Meng Lin, Jizhong Han, Songlin Hu
      Pages 117-129
    4. Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification

      • Yuheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao
      Pages 143-155
  4. Human Reaction Prediction

    1. Front Matter

      Pages 157-157
    2. Mid Roll Advertisement Placement Using Multi Modal Emotion Analysis

      • Sumanu Rawat, Aman Chopra, Siddhartha Singh, Shobhit Sinha
      Pages 159-171
    3. DCAR: Deep Collaborative Autoencoder for Recommendation with Implicit Feedback

      • Jiong Wang, Neng Gao, Jia Peng, Jingjie Mo
      Pages 172-184
    4. Jointly Learning to Detect Emotions and Predict Facebook Reactions

      • Lisa Graziani, Stefano Melacci, Marco Gori
      Pages 185-197

Other Volumes

  1. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

    28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I
  2. Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

    28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II
  3. Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing

    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. Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

    28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings

About this book

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

  • Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany

    Igor V. Tetko, Pavel Karpov, Fabian Theis

  • Institute of Computer Science, Czech Academy of Sciences, Prague 8, Czech Republic

    Věra Kůrková

Bibliographic Information

Buying options

eBook USD 89.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-30490-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 119.99
Price excludes VAT (USA)