Intelligent Data Engineering and Automated Learning - IDEAL 2022 (eBook)

23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings
Artikelnummer: 978-3-031-21753-1
Einband: PDF
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This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, during November 24-26, 2022.
The 52 full papers included in this book were carefully reviewed and selected from 79 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, during November 24-26, 2022.
The 52 full papers included in this book were carefully reviewed and selected from 79 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2022
Seitenangabe551 S.
AusgabekennzeichenEnglisch
AbbildungenXVII, 551 p. 171 illus., 149 illus. in color.
Masse48'198 KB
PlattformPDF
ReiheLecture Notes in Computer Science; Computer Science; Computer Science ; Springer Nature Proceedings Computer Science
AutorYin, Hujun (Hrsg.) / Camacho, David (Hrsg.) / Tino, Peter (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Computer Science; Computer Science; Computer Science (R0); Springer Nature Proceedings Computer Science"

Weitere Titel von Hujun (Hrsg.) Yin

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