Neural Information Processing
27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV
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 (95 chapters)
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A Hybrid Representation of Word Images for Keyword Spotting
Pages 3-10
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A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway
Pages 11-22
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An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction
Pages 23-31
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Prediction Model of Breast Cancer Based on mRMR Feature Selection
Pages 32-40
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Clustering Ensemble Selection with Analytic Hierarchy Process
Pages 41-49
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Table of contents (95 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Neural Information Processing
- Book Subtitle
- 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV
- 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
- 1332
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-63820-7
- DOI
- 10.1007/978-3-030-63820-7
- Softcover ISBN
- 978-3-030-63819-1
- Series ISSN
- 1865-0929
- Edition Number
- 1
- Number of Pages
- XXIX, 844
- Number of Illustrations
- 32 b/w illustrations, 220 illustrations in colour
- Topics
