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

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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Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Iliadis, Lazaros (Επιμελητής έκδοσης), Papaleonidas, Antonios (Επιμελητής έκδοσης), Angelov, Plamen (Επιμελητής έκδοσης), Jayne, Chrisina (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:Αγγλικά
Έκδοση: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Έκδοση:1st ed. 2023.
Σειρά:Lecture Notes in Computer Science, 14259
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Διαθέσιμο Online:https://doi.org/10.1007/978-3-031-44223-0
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Περιγραφή
Περίληψη: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. .
Φυσική περιγραφή:1 online resource (XXXV, 591 p. 196 illus.). 182 illus. in color.
ISBN:9783031442230
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-44223-0