Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II | SpringerLink
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Neural Information Processing

27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II

  • 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, China

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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: Lecture Notes in Computer Science (LNCS, volume 12533)

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

Included in the following conference series:

Conference proceedings info: ICONIP 2020.

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About this book

The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually.
The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 12533, is organized in topical sections on computational intelligence; machine learning; robotics and control.

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Table of contents (68 papers)

  1. Front Matter

    Pages I-XXVI
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  2. Computational Intelligence

    1. Front Matter

      Pages 1-1
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    2. A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map

      • Jianxin Peng, Suogui Dang, Rui Yan, Huajin Tang
      Pages 3-14

    3. Adaptive Risk-Return Control in Motor Planning

      • Qirui Yao, Yutaka Sakaguchi
      Pages 15-24

    4. Discrete Mother Tree Optimization for the Traveling Salesman Problem

      • Wael Korani, Malek Mouhoub
      Pages 25-37

    5. Dynamic Cloud Workflow Scheduling with a Heuristic-Based Encoding Genetic Algorithm

      • Jian-Ping Xiao, Xiao-Min Hu, Wei-Neng Chen
      Pages 38-49

    6. Multi-strategy Evolutionary Computation for Automated Jigsaw Puzzles

      • Senhua Zhao, Yue-Jiao Gong, Xiaolin Xiao
      Pages 50-62

    7. Real Valued Card Counting Strategies for the Game of Blackjack

      • Mózes Vidámi, László Szilágyi, David Iclanzan
      Pages 63-73

  3. Machine Learning

    1. Front Matter

      Pages 75-75
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    2. A Feature Selection Approach to Visual Domain Adaptation in Classification

      • Rakesh Kumar Sanodiya, Debdeep Paul, Leehter Yao, Jimson Mathew, Aparna Juhi
      Pages 77-89

    3. A Framework for Reinforcement Learning with Autocorrelated Actions

      • Marcin Szulc, Jakub Łyskawa, Paweł Wawrzyński
      Pages 90-101

    4. A Motif-Based Graph Neural Network to Reciprocal Recommendation for Online Dating

      • Linhao Luo, Kai Liu, Dan Peng, Yaolin Ying, Xiaofeng Zhang
      Pages 102-114

    5. A Spiking Neural Architecture for Vector Quantization and Clustering

      • Adrien Fois, Bernard Girau
      Pages 115-126

    6. A Survey of Graph Curvature and Embedding in Non-Euclidean Spaces

      • Chandni Saxena, Tianyu Liu, Irwin King
      Pages 127-139

    7. A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Features

      • Lingyun Mi, Bo Dong, Bin Shi, Qinghua Zheng
      Pages 140-151

    8. Adversarial Rectification Network for Scene Text Regularization

      • Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang
      Pages 152-163

    9. An Overlapping Community Detection with Subspaces on Double-Views

      • Yang Chang, Huifang Ma, Yun Su, Zhixin Li
      Pages 164-176

    10. API Based Discrimination of Ransomware and Benign Cryptographic Programs

      • Paul Black, Ammar Sohail, Iqbal Gondal, Joarder Kamruzzaman, Peter Vamplew, Paul Watters
      Pages 177-188

    11. AutoGraph: Automated Graph Neural Network

      • Yaoman Li, Irwin King
      Pages 189-201

    12. Automatic Curriculum Generation by Hierarchical Reinforcement Learning

      • Zhenghua He, Chaochen Gu, Rui Xu, Kaijie Wu
      Pages 202-213
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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, China

    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 23–27, 2020, Proceedings, Part II

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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-63833-7

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-63832-0Published: 20 November 2020

  • eBook ISBN: 978-3-030-63833-7Published: 19 November 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVI, 823

  • Number of Illustrations: 229 b/w illustrations, 254 illustrations in colour

  • Topics: Pattern Recognition, Machine Learning, Computer Applications

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