
Neural Information Processing
27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V
Editors: Yang, H., Pasupa, K., Leung, A.C.-S., Kwok, J.T., Chan, J.H., King, I. (Eds.)
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- About this book
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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.
- Table of contents (94 chapters)
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A Discriminative STGCN for Skeleton Oriented Action Recognition
Pages 3-10
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A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition
Pages 11-20
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A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
Pages 21-29
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Adaptive Ensemble Variants of Random Vector Functional Link Networks
Pages 30-37
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An Attention-Based Interaction-Aware Spatio-Temporal Graph Neural Network for Trajectory Prediction
Pages 38-45
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Table of contents (94 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Neural Information Processing
- Book Subtitle
- 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V
- Editors
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- Haiqin Yang
- Kitsuchart Pasupa
- Andrew Chi-Sing Leung
- James T. Kwok
- Jonathan H. Chan
- Irwin King
- Series Title
- Communications in Computer and Information Science
- Series Volume
- 1333
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-63823-8
- DOI
- 10.1007/978-3-030-63823-8
- Softcover ISBN
- 978-3-030-63822-1
- Series ISSN
- 1865-0929
- Edition Number
- 1
- Number of Pages
- XXIX, 844
- Number of Illustrations
- 46 b/w illustrations, 225 illustrations in colour
- Topics