Computational Collective Intelligence : 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings / / edited by Ngoc Thanh Nguyen, Bao Hung Hoang, Cong Phap Huynh, Dosam Hwang, Bogdan Trawiński, Gottfried Vossen

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XXIX, 905 p. 519 illus., 237 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Computer engineering; Computer networks; Application software; Image processing—Digital techniques; Computer vision; Artificial Intelligence; Computer Engineering and Networks; Computer and Information Systems Applications; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Communication Networks
• Persona (resp. second.): Nguyen Ngoc Thanh (Computer scientist)
• Nota di contenuto: 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 -- Intelligent Processing of Multimedia in Web Systems.
• Sommario/riassunto: 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.
• Titolo autorizzato: Computational collective intelligence
• ISBN: 3-030-63007-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910427668903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 12496