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This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020. The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. The conference was held virtually due to the COVID-19 pandemic.
This volume presents the proceedings of the 12th International Conference on Computational Collective Intelligence (ICCCI 2020), focusing on advancements in artificial intelligence and its applications. The 70 selected papers, chosen from 314 submissions, explore a wide range of topics including knowledge engineering, social networks, collective decision-making, data mining, machine learning, deep learning, computer vision, and natural language processing. The conference, held virtually due to the COVID-19 pandemic, aimed to foster discussion and collaboration among researchers in these rapidly evolving fields.
This collection of papers represents a snapshot of current research in computational collective intelligence, reflecting the breadth of topics presented at ICCCI 2020. The inclusion of diverse areas such as machine learning, data mining, and natural language processing indicates a comprehensive scope. The selection process, involving careful review of numerous submissions, suggests a high standard for the included research.
Page Count:
905
Publication Date:
2020-11-13
Publisher:
Springer International Publishing
ISBN-10:
3030630064
ISBN-13:
9783030630065
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