Advances In Computational Intelligence Micai 2024 International Workshops
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Advances in Computational Intelligence. MICAI 2024 International Workshops
Author: Lourdes Martínez-Villaseñor
language: en
Publisher: Springer Nature
Release Date: 2025-03-07
This book constitutes the revised selected papers of several workshops which were held in conjunction with the MICAI 2024 International Workshops on Advances in Computational Intelligence, MICAI 2024, held in Tonantzintla, Mexico, during October 21–25, 2024. The 38 revised full papers presented in this book were carefully reviewed and selected from 58 submissions. The papers presented in this volume stem from the following workshops: – 17th Workshop of Hybrid Intelligent Systems (HIS 2024) – 17th Workshop on Intelligent Learning Environments (WILE 2024) – 6th Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2024).
Advances in Computational Intelligence. MICAI 2023 International Workshops
This conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions. The proceedings of MICAI 2023 workshops are structured into three sections: – WILE 2023: 16th Workshop on Intelligent Learning Environments – HIS 2023: 16th Workshop of Hybrid Intelligent Systems – CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications
Advances in Computational Intelligence
Author: Lourdes Martínez-Villaseñor
language: en
Publisher: Springer Nature
Release Date: 2024-10-16
The two-volume set, LNAI 15246 and 15247, constitutes the proceedings of the 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, held in Tonantzintla, Mexico in October 21–25, 2024. The 37 full papers presented in these proceedings were carefully reviewed and selected from 141 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I - Machine Learning; Computer Vision. Part II - Intelligent Systems; Bioinformatics and Medical Applications; Natural Language Processing.