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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 conference, held virtually in November 2020, gathered researchers to share their latest findings. The selected papers cover a wide array of topics, including knowledge engineering, social networks, collective decision-making, data mining, machine learning, deep learning, computer vision, and natural language processing, reflecting the diverse and rapidly evolving field of computational collective intelligence.
The collection represents a snapshot of current research in computational collective intelligence, as presented at ICCCI 2020. The breadth of topics indicates a vibrant and active research community exploring various facets of AI and its practical applications. The inclusion of diverse areas such as deep learning, computer vision, and natural language processing suggests a forward-looking perspective on the field's development and its impact on industry and society.
Page Count:
905
Publication Date:
2020-11-23
Publisher:
Springer Nature
ISBN-10:
3030630072
ISBN-13:
9783030630072
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