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Deep Learning Theory and Applications 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part II /

The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from the 5th INternational Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. The 44 papers included in these proceedings were carefully reviewed and select...

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Ente Autore: SpringerLink (Online service)
Altri autori: Fred, Ana (Redattore), Hadjali, Allel (Redattore), Gusikhin, Oleg (Redattore), Sansone, Carlo (Redattore)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edizione:1st ed. 2024.
Serie:Communications in Computer and Information Science, 2172
Soggetti:
Artificial intelligence.
Machine learning.
Application software.
Data mining.
Natural language processing (Computer science).
Artificial Intelligence.
Machine Learning.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Natural Language Processing (NLP).
Accesso online:https://doi.org/10.1007/978-3-031-66705-3
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Riassunto:The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from the 5th INternational Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc. .
Descrizione fisica:XVII, 389 p. 125 illus., 115 illus. in color. online resource.
ISBN:9783031667053
ISSN:1865-0937 ;
DOI:10.1007/978-3-031-66705-3

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