Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part I (1st ed. 2023)


The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. 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.

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Product Description

The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. 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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Lecture Notes in Computer Science, 13623

Release date

May 2023

Availability

Expected to ship within 12 - 17 working days

First published

2023

Editors

, , , ,

Dimensions

235 x 155mm (L x W)

Pages

627

Edition

1st ed. 2023

ISBN-13

978-3-03-130104-9

Barcode

9783031301049

Categories

LSN

3-03-130104-8



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