Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13625)
Conference series link(s): ICONIP: International Conference on Neural Information Processing
Conference proceedings info: ICONIP 2022.
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Table of contents (59 papers)
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Front Matter
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Applications
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Front Matter
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Other Volumes
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Neural Information Processing
About this book
The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.
The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Editors and Affiliations
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Indian Institute of Technology Indore, Indore, India
Mohammad Tanveer
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Indian Institute of Information Technology - Allahabad, Prayagraj, India
Sonali Agarwal
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Kobe University, Kobe, Japan
Seiichi Ozawa
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Indian Institute of Technology Patna, Patna, India
Asif Ekbal
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University of Innsbruck, Innsbruck, Austria
Adam Jatowt
Bibliographic Information
Book Title: Neural Information Processing
Book Subtitle: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part III
Editors: Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-30111-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-30110-0Published: 13 April 2023
eBook ISBN: 978-3-031-30111-7Published: 12 April 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXVI, 722
Number of Illustrations: 20 b/w illustrations, 228 illustrations in colour
Topics: Pattern Recognition, Data Mining and Knowledge Discovery, Machine Learning, Computer Applications