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

The two-volume set CCIS 2171 and 2172 constitutes the refereed best 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 s...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Fred, Ana (Επιμελητής έκδοσης), Hadjali, Allel (Επιμελητής έκδοσης), Gusikhin, Oleg (Επιμελητής έκδοσης), Sansone, Carlo (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:Αγγλικά
Έκδοση: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Έκδοση:1st ed. 2024.
Σειρά:Communications in Computer and Information Science, 2171
Θέματα:
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).
Διαθέσιμο Online:https://doi.org/10.1007/978-3-031-66694-0
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Περιγραφή
Περίληψη:The two-volume set CCIS 2171 and 2172 constitutes the refereed best 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. .
Φυσική περιγραφή:XXIII, 367 p. 153 illus., 138 illus. in color. online resource.
ISBN:9783031666940
ISSN:1865-0937 ;
DOI:10.1007/978-3-031-66694-0

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