Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14404)
Included in the following conference series:
Conference proceedings info: IDEAL 2023.
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About this book
The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI.
The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
Keywords
- applied computing
- bioinformatics
- computer vision
- computing methodologies
- data analytics
- data management systems
- data mining
- deep learning
- deep neural networks
- human computer interaction
- image processing
- information retrieval
- machine learning
- neural networks
- neural systems
- signal processing
- Web applications
Table of contents (49 papers)
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Main Track
Other volumes
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Intelligent Data Engineering and Automated Learning – IDEAL 2023
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Data Engineering and Automated Learning – IDEAL 2023
Book Subtitle: 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings
Editors: Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-48232-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-48231-1Published: 15 November 2023
eBook ISBN: 978-3-031-48232-8Published: 14 November 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 549
Number of Illustrations: 21 b/w illustrations, 152 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Machine Learning, Software Engineering/Programming and Operating Systems, Computers and Education, Image Processing and Computer Vision