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Computational Collective Intelligence

- 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023, Proceedings

Bag om Computational Collective Intelligence

This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27-29, 2023. The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; 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; computational intelligence in medical applications; and ensemble models and data fusion.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031414558
  • Indbinding:
  • Paperback
  • Sideantal:
  • 849
  • Udgivet:
  • 14. september 2023
  • Størrelse:
  • 156x234x44 mm.
  • Vægt:
  • 1207 g.
  • 8-11 hverdage.
  • 20. november 2024
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Beskrivelse af Computational Collective Intelligence

This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27-29, 2023.
The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; 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; computational intelligence in medical applications; and ensemble models and data fusion.

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