Intelligent Data Engineering and Automated Learning – IDEAL 2021: 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings (1st ed. 2021) (Lecture Notes in Computer Science #13113)

By: Hujun Yin and David Camacho and Peter Tino and Richard Allmendinger and Antonio J. Tallón-Ballesteros and Ke Tang and Sung-Bae Cho and Paulo Novais and Susana Nascimento

Sign Up Now! Already a Member? Log In
You must be logged into Bookshare to access this title. Learn about membership options, or view our freely available titles.

Synopsis: This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic.The 61 full papers included in this book were carefully reviewed and selected from 85 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783030916084
Related ISBNs:: 9783030916077
Publisher:: Springer International Publishing
Date of Addition:: 03/13/24
Copyrighted By:: Springer Nature Switzerland AG
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Art and Architecture, Computers and Internet, Technology, Education
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Hujun Yin
Edited by:: David Camacho
Edited by:: Peter Tino
Edited by:: Richard Allmendinger
Edited by:: Antonio J. Tallón-Ballesteros
Edited by:: Ke Tang
Edited by:: Sung-Bae Cho
Edited by:: Paulo Novais
Edited by:: Susana Nascimento