Adversarial training in affective computing and sentiment analysis: recent advances and perspectives

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Metadaten
Author:Jing HanORCiD, Zixing Zhang, Nicholas CumminsORCiDGND, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-666719
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/66671
ISSN:1556-603XOPAC
ISSN:1556-6048OPAC
Parent Title (English):IEEE Computational Intelligence Magazine
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Place of publication:New York, NY
Type:Article
Language:English
Year of first Publication:2019
Publishing Institution:Universität Augsburg
Release Date:2019/12/10
Tag:Theoretical Computer Science; Artificial Intelligence
Volume:14
Issue:2
First Page:68
Last Page:81
DOI:https://doi.org/10.1109/mci.2019.2901088
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht