Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV | SpringerLink
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Neural Information Processing

27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Haiqin Yang

    1. Department of AI, Ping An Life, Shenzhen, China

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  2. Kitsuchart Pasupa

    1. Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

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  3. Andrew Chi-Sing Leung

    1. City University of Hong Kong, Kowloon, Hong Kong

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  4. James T. Kwok

    1. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

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  5. Jonathan H. Chan

    1. School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand

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  6. Irwin King

    1. The Chinese University of Hong Kong, New Territories, Hong Kong

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1332)

Included in the following conference series:

Conference proceedings info: ICONIP 2020.

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About this book

The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.*

For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis.

* The conference was held virtually due to the COVID-19 pandemic.

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Table of contents (95 papers)

  1. Front Matter

    Pages i-xxix
    Download chapter PDF

  2. Data Mining

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Hybrid Representation of Word Images for Keyword Spotting

      • Hongxi Wei, Jing Zhang, Kexin Liu
      Pages 3-10

    3. A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway

      • Kai Xue, Yiyu Ding, Zhirong Yang, Natasa Nord, Mael Roger Albert Barillec, Hans Martin Mathisen et al.
      Pages 11-22

    4. An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction

      • Rasmita Panigrahi, Lov Kumar, Sanjay Kumar Kuanar
      Pages 23-31

    5. Prediction Model of Breast Cancer Based on mRMR Feature Selection

      • Junwen Di, Zhiguo Shi
      Pages 32-40

    6. Clustering Ensemble Selection with Analytic Hierarchy Process

      • Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou
      Pages 41-49

    7. Deep Learning for In-Vehicle Intrusion Detection System

      • Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel
      Pages 50-58

    8. Efficient Binary Multi-view Subspace Learning for Instance-Level Image Retrieval

      • Zhijian Wu, Jun Li, Jianhua Xu
      Pages 59-68

    9. Hyper-Sphere Support Vector Classifier with Hybrid Decision Strategy

      • Shuang Liu, Peng Chen
      Pages 69-77

    10. Knowledge Graph Embedding Based on Relevance and Inner Sequence of Relations

      • Jia Peng, Neng Gao, Min Li, Jun Yuan
      Pages 78-86

    11. MrPC: Causal Structure Learning in Distributed Systems

      • Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh
      Pages 87-94

    12. Online Multi-objective Subspace Clustering for Streaming Data

      • Dipanjyoti Paul, Sriparna Saha, Jimson Mathew
      Pages 95-103

    13. Predicting Information Diffusion Cascades Using Graph Attention Networks

      • Meng Wang, Kan Li
      Pages 104-112

    14. PrivRec: User-Centric Differentially Private Collaborative Filtering Using LSH and KD

      • Yifei Zhang, Neng Gao, Junsha Chen, Chenyang Tu, Jiong Wang
      Pages 113-121

    15. Simultaneous Customer Segmentation and Behavior Discovery

      • Siqi Zhang, Ling Luo, Zhidong Li, Yang Wang, Fang Chen, Richard Xu
      Pages 122-130

    16. Structural Text Steganography Using Unseen Tag Attribute Values

      • Feno H. Rabevohitra, Yantao Li
      Pages 131-139

    17. Trajectory Anomaly Detection Based on the Mean Distance Deviation

      • Xiaoyuan Hu, Qing Xu, Yuejun Guo
      Pages 140-147

    18. Tweet Relevance Based on the Theory of Possibility

      • Amina Ben Meriem, Lobna Hlaoua, Lotfi Ben Romdhane
      Pages 148-156

  3. Healthcare Analytics-Improving Healthcare Outcomes Using Big Data Analytics

    1. Front Matter

      Pages 157-157
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

  4. Neural Information Processing

  5. Neural Information Processing

Editors and Affiliations

  • Department of AI, Ping An Life, Shenzhen, China

    Haiqin Yang

  • Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Kitsuchart Pasupa

  • City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi-Sing Leung

  • Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    James T. Kwok

  • School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand

    Jonathan H. Chan

  • The Chinese University of Hong Kong, New Territories, Hong Kong

    Irwin King

Bibliographic Information

  • Book Title: Neural Information Processing

  • Book Subtitle: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV

  • Editors: Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-030-63820-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-63819-1Published: 19 November 2020

  • eBook ISBN: 978-3-030-63820-7Published: 18 November 2020

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XXIX, 844

  • Number of Illustrations: 32 b/w illustrations, 220 illustrations in colour

  • Topics: Pattern Recognition

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