Intelligent Data Engineering and Automated Learning – IDEAL 2023
24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings
- 2023
- Buch
- Herausgegeben von
- Paulo Quaresma
- David Camacho
- Hujun Yin
- Teresa Gonçalves
- Vicente Julian
- Antonio J. Tallón-Ballesteros
- Buchreihe
- Lecture Notes in Computer Science
- Verlag
- Springer Nature Switzerland
Über dieses Buch
Über dieses Buch
This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023.
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.
- Titel
- Intelligent Data Engineering and Automated Learning – IDEAL 2023
- Herausgegeben von
-
Paulo Quaresma
David Camacho
Hujun Yin
Teresa Gonçalves
Vicente Julian
Antonio J. Tallón-Ballesteros
- Copyright-Jahr
- 2023
- Verlag
- Springer Nature Switzerland
- Electronic ISBN
- 978-3-031-48232-8
- Print ISBN
- 978-3-031-48231-1
- DOI
- https://doi.org/10.1007/978-3-031-48232-8
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