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

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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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Iliadis, Lazaros (Editor), Papaleonidas, Antonios (Editor), Angelov, Plamen (Editor), Jayne, Chrisina (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Udgivelse:1st ed. 2023.
Serier:Lecture Notes in Computer Science, 14258
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Online adgang:https://doi.org/10.1007/978-3-031-44192-9
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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. .
Fysisk beskrivelse:1 online resource (XXXV, 589 p. 206 illus.). 186 illus. in color.
ISBN:9783031441929
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-44192-9