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

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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Korporativní autor: SpringerLink (Online service)
Další autoři: Iliadis, Lazaros (Editor), Papaleonidas, Antonios (Editor), Angelov, Plamen (Editor), Jayne, Chrisina (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Vydání:1st ed. 2023.
Edice:Lecture Notes in Computer Science, 14254
Témata:
On-line přístup:https://doi.org/10.1007/978-3-031-44207-0
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Shrnutí: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. .
Fyzický popis:1 online resource (XXXV, 593 p. 196 illus.). 172 illus. in color.
ISBN:9783031442070
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-44207-0