Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14670)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ISMIS 2024.
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About this book
This book constitutes the proceedings of the 27th International Symposium on Methodologies for Intelligent Systems, ISMIS 2024, held in Poitiers, France, in June 2024.
The 18 full papers, 6 short papers and 5 industrial papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in the following topical sections: Classification and Clustering; Neural Network and Natural Language Processing; AI tools and Models; Neural Network and Data Mining; Explainability in AI; Industry Session; Learning with Complex Data; Recommendation Systems and Prediction.
Keywords
Table of contents (27 papers)
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Classification and Clustering
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Neural Network and Natural Language Processing
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Explainability in AI
Other volumes
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Foundations of Intelligent Systems
Editors and Affiliations
Bibliographic Information
Book Title: Foundations of Intelligent Systems
Book Subtitle: 27th International Symposium, ISMIS 2024, Poitiers, France, June 17–19, 2024, Proceedings
Editors: Annalisa Appice, Hanane Azzag, Mohand-Said Hacid, Allel Hadjali, Zbigniew Ras
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-62700-2
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 2024
Softcover ISBN: 978-3-031-62699-9Published: 17 June 2024
eBook ISBN: 978-3-031-62700-2Published: 16 June 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 316
Number of Illustrations: 19 b/w illustrations, 61 illustrations in colour
Topics: Artificial Intelligence, Computer Applications, Data Mining and Knowledge Discovery, Image Processing and Computer Vision