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Artificial Intelligence [[electronic resource] ] : Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22–23, 2023, Revised Selected Papers, Part II / / edited by Lu Fang, Jian Pei, Guangtao Zhai, Ruiping Wang



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Autore: Fang Lu Visualizza persona
Titolo: Artificial Intelligence [[electronic resource] ] : Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22–23, 2023, Revised Selected Papers, Part II / / edited by Lu Fang, Jian Pei, Guangtao Zhai, Ruiping Wang
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (603 pages)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Computer vision
Computer engineering
Computer networks
Application software
User interfaces (Computer systems)
Human-computer interaction
Signal processing
Artificial Intelligence
Computer Vision
Computer Engineering and Networks
Computer and Information Systems Applications
User Interfaces and Human Computer Interaction
Signal, Speech and Image Processing
Altri autori: PeiJian  
ZhaiGuangtao  
WangRuiping  
Nota di contenuto: Computer Vision -- Data Mining -- Explainability, Understandability, and Verifiability of AI -- Natural Language Processing -- AI Ethics, Privacy, Fairness and Security -- AI Generated Content -- Applications of Artificial Intelligence -- Machine Learning -- Multidisciplinary Research with AI -- Other AI Related Topics -- Robotics.
Sommario/riassunto: This two-volume set LNAI 14473-14474 constitutes revised selected papers presented at the Third CAAI International Conference, CICAI 2023, in Fuzhou, China, in July 2023. CICAI is a summit forum in the field of artificial intelligence and the 2023 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). The 100 papers were thoroughly reviewed and selected from 376 submissions. CICAI 2023 conference covers a wide range of of AI generated content, computer vision, machine learning, nature language processing, application of AI, and data mining, amongst others.
ISBN: 981-9991-19-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910831013103321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 14474