Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13501)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ICCCI: International Conference on Computational Collective Intelligence
Conference proceedings info: ICCCI 2022.
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Table of contents (66 papers)
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Front Matter
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Collective Intelligence and Collective Decision-Making
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Front Matter
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Deep Learning Techniques
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Front Matter
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Natural Language Processing
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Front Matter
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Other Volumes
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Computational Collective Intelligence
About this book
The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.
Editors and Affiliations
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Wrocław University of Science and Technology, Wrocław, Poland
Ngoc Thanh Nguyen, Adrianna Kozierkiewicz, Bogdan Trawiński
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Open University of Cyprus, Nicosia, Cyprus
Yannis Manolopoulos
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University of Pau and Pays de l'Adour, Anglet, France
Richard Chbeir
Bibliographic Information
Book Title: Computational Collective Intelligence
Book Subtitle: 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings
Editors: Ngoc Thanh Nguyen, Yannis Manolopoulos, Richard Chbeir, Adrianna Kozierkiewicz, Bogdan Trawiński
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-16014-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-16013-4Published: 21 September 2022
eBook ISBN: 978-3-031-16014-1Published: 21 September 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVII, 853
Number of Illustrations: 132 b/w illustrations, 215 illustrations in colour
Topics: Artificial Intelligence