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

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 and 9 short papers included in these pro...

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Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Iliadis, Lazaros (Editor), Papaleonidas, Antonios (Editor), Angelov, Plamen (Editor), Jayne, Chrisina (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edició:1st ed. 2023.
Col·lecció:Lecture Notes in Computer Science, 14262
Matèries:
Accés en línia:https://doi.org/10.1007/978-3-031-44201-8
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Sumari: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 and 9 short 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.
Descripció física:1 online resource (XXXIV, 523 p. 208 illus.). 180 illus. in color.
ISBN:9783031442018
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-44201-8