Transformer-based CNNs: mining temporal context information for multi-sound COVID-19 diagnosis

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Metadaten
Author:Yi Chang, Zhao RenORCiD, Björn W. SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-914869
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/91486
ISBN:978-1-7281-1180-3OPAC
Parent Title (English):43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2021), 1-5 November 2021, Mexico
Publisher:IEEE
Place of publication:New York, NY
Editor:Riccardo Barbieri
Type:Part of a Book
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2021/12/22
First Page:2335
Last Page:2338
DOI:https://doi.org/10.1109/embc46164.2021.9629552
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

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