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Neural Information Processing

30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14448)

Included in the following conference series:

Conference proceedings info: ICONIP 2023.

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Table of contents (43 papers)

  1. Theory and Algorithms

Keywords

About this book

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. 


The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields. 


Editors and Affiliations

  • Central South University, Changsha, China

    Biao Luo

  • Chinese Academy of Sciences, Beijing, China

    Long Cheng

  • Zhejiang University, Hangzhou, China

    Zheng-Guang Wu

  • Guangdong University of Technology, Guangzhou, China

    Hongyi Li

  • UNSW Sydney, Sydney, Australia

    Chaojie Li

Bibliographic Information

  • Book Title: Neural Information Processing

  • Book Subtitle: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part II

  • Editors: Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-99-8082-6

  • Publisher: Springer Singapore

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-99-8081-9Published: 15 November 2023

  • eBook ISBN: 978-981-99-8082-6Published: 14 November 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XX, 589

  • Number of Illustrations: 15 b/w illustrations, 172 illustrations in colour

  • Topics: Pattern Recognition, Data Mining and Knowledge Discovery, Machine Learning, Computer Applications

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