UID:
almahu_9948609540002882
Umfang:
XXIX, 905 p. 519 illus., 237 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2020.
ISBN:
9783030630072
Serie:
Lecture Notes in Artificial Intelligence ; 12496
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030630065
Weitere Ausg.:
Printed edition: ISBN 9783030630089
Sprache:
Englisch
DOI:
10.1007/978-3-030-63007-2
URL:
https://doi.org/10.1007/978-3-030-63007-2
