
Computational Collective Intelligence (eBook, PDF)
16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part I
Redaktion: Nguyen, Ngoc Thanh; Kozierkiewicz, Adrianna; Vossen, Gottfried; Treur, Jan; Núñez, Manuel; Ludwig, André; Franczyk, Bogdan
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This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9-11, 2024. The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. They cover the following topics:Part I: Collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning.Part II: Social networks and intelligent system; cybersecurity, blockchain tech...
This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9-11, 2024. The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. They cover the following topics:
Part I: Collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning.
Part II: Social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0.
Part I: Collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning.
Part II: Social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0.
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