Neural Information Processing
28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part VI
Published on 7. December 2021
Book
Paperback/Softback
XXVIII, 772 pages
978-3-030-92309-9 (ISBN)
Description
The two-volume set CCIS 1516 and 1517 constitutes thoroughly refereed short papers presented at the 28th International Conference on Neural Information Processing, ICONIP 2021, held in Sanur, Bali, Indonesia, in December 2021.* The volume also presents papers from the workshop on Artificial Intelligence and Cyber Security, held during the ICONIP 2021.
The 176 short and workshop papers presented in this volume were carefully reviewed and selected for publication out of 1093 submissions. The papers are organized in topical sections as follows: theory and algorithms; AI and cybersecurity; cognitive neurosciences; human centred computing; advances in deep and shallow machine learning algorithms for biomedical data and imaging; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; applications.
* The conference was held virtually due to the COVID-19 pandemic.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
28 s/w Abbildungen
XXVIII, 772 p. 28 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 43 mm
Weight
1194 gr
ISBN-13
978-3-030-92309-9 (9783030923099)
DOI
10.1007/978-3-030-92310-5
Schweitzer Classification
Other editions
Additional editions
Teddy Mantoro | Minho Lee | Media Anugerah Ayu
Neural Information Processing
28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part VI
E-Book
12/2021
Springer
€117.69
Available for download
Content
Cognitive Neurosciences.- Human Centred Computing.- Advances in deep and shallow machine learning algorithms for biomedical data and imaging.- Reliable, Robust, and Secure Machine Learning Algorithms.- Theory and Applications of Natural Computing Paradigms.- Applications.