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  4. Preface : Advances in Soft Computing : 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13–18, 2023, Proceedings, Part II
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Preface : Advances in Soft Computing : 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13–18, 2023, Proceedings, Part II

Journal
Advances in Soft Computing : 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13–18, 2023, Proceedings, Part II
ISSN
0302-9743
Publisher
Springer
Date Issued
2024-01-01
Author(s)
Calvo, Hiram
Type
Resource Types::text::book::book part
DOI
10.1007/978-3-031-47640-2
URL
https://scripta.up.edu.mx/handle/20.500.12552/9992
Abstract
The Mexican International Conference on Artificial Intelligence (MICAI) is a yearly international conference series that has been organized by the Mexican Society for Artificial Intelligence (SMIA) since 2000. MICAI is a major international artificial intelligence (AI) forum and the main event in the academic life of the country’s growing AI community. This year, MICAI 2023 was graciously hosted by the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) and the Universidad Autónoma del Estado de Yucatán (UAEY). The conference presented a cornucopia of scientific endeavors. ©Springer.
Subjects

Artificial intelligen...

Knowledge representat...

Planning and scheduli...

Control methods

Computer vision

Machine learning

Symbolic and algebrai...

Simulation theory

Robots

Evolutionary computat...

Intelligent systems

Natural language proc...

Bioinformatics

Medical applications ...

How to cite
Calvo, H., Martinez-Villaseñor, L. & Ponce, H. (2024) Preface. In: H. Calvo, L. Martínez-Villaseñor, & H. Ponce (Eds.), Advances in Soft Computing : 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13–18, 2023, Proceedings, Part II, (Lecture Notes in Computer Science). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-47640-2

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