Artificial Neural Networks and Machine Learning – ICANN 2023 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part III /

The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023. The 426 full papers, 9 short papers and 9 abstract papers in...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros autores: Iliadis, Lazaros (Editor), Papaleonidas, Antonios (Editor), Angelov, Plamen (Editor), Jayne, Chrisina (Editor)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edición:1st ed. 2023.
Series:Lecture Notes in Computer Science, 14256
Subjects:
Acceso en liña:https://doi.org/10.1007/978-3-031-44213-1
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Summary:The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. .
Descrición Física:1 online resource (XXXV, 593 p. 187 illus.). 178 illus. in color.
ISBN:9783031442131
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-44213-1