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Foundations of Intelligent Systems

27th International Symposium, ISMIS 2024, Poitiers, France, June 17–19, 2024, Proceedings

  • Conference proceedings
  • © 2024

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 submissionsThe 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)

  1. Classification and Clustering

  2. Neural Network and Natural Language Processing

  3. AI Tools and Models

  4. Neural Network and Data Mining

  5. Explainability in AI

Other volumes

  1. Foundations of Intelligent Systems

Editors and Affiliations

  • University of Bari Aldo Moro, Bari, Italy

    Annalisa Appice

  • University of Sorbonne Paris Nord, Villetaneuse, France

    Hanane Azzag

  • Claude Bernard University Lyon 1, Villeurbanne Cedex, France

    Mohand-Said Hacid

  • LIAS/ENSMA, Poitiers, Cedex, France

    Allel Hadjali

  • University of North Carolina, Charlotte, USA

    Zbigniew Ras

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

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