Advances in Computational Collective Intelligence 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings / edited by Costin Bădică, Jan Treur, Djamal Benslimane, Bogumiła Hnatkowska, Marek Krótkiewicz
Contributor(s): Bădică, Costin, editor literario | Treur, Jan, editor literario | Benslimane, Djamal, editor literario | Hnatkowska, Bogumiła, editor literario | Krótkiewicz, Marek, editor literario
Series: (Communications in Computer and Information Science, 1865-0937; 1653).Publisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XXVI, 729 páginas) : 318 ilustraciones, 232 ilustraciones a color.ISBN: 9783031162107.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Acceso electrónico | eBook.25122275 |
Collective Intelligence and Collective Decision-Making -- Natural Language Processing -- Deep Learning -- Computational Intelligence for Multimedia Understanding -- Computational Intelligence in Medical Applications -- Applications for Industry 4.0 -- Experience Enhanced Intelligence to IoT and Sensors -- Cooperative Strategies for Decision Making and Optimization -- Machine Learning Methods.
This book constitutes refereed proceedings of the 14th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 43 full papers and 15 short papers were thoroughly reviewed and selected from 421 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; natural language processing; deep learning; computational intelligence for multimedia understanding; computational intelligence in medical applications; applications for industry 4.0; experience enhanced intelligence to IoT and sensors; cooperative strategies for decision making and optimization; machine learning methods.
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