Using computer intelligence for depression diagnosis and crowdsourcing
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| Author: | Björn SchullerORCiDGND, Jian Pei |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-725003 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/72500 |
| ISSN: | 0018-9162OPAC |
| Parent Title (English): | Computer |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2016 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2020/06/05 |
| Volume: | 49 |
| Issue: | 7 |
| First Page: | 8 |
| Last Page: | 9 |
| DOI: | https://doi.org/10.1109/mc.2016.206 |
| 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 |
