School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS) > IDAS / Applied Machine Intelligence

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Number of items at this level: 3.

Journal Article

Merhbene, Ghofrane; Nath, Sukanya; Puttick, Alexandre Riemann; Kurpicz-Briki, Mascha (2022). BurnoutEnsemble: Augmented Intelligence to Detect Indications for Burnout in Clinical Psychology Frontiers in Big Data, 5(2022) Frontiers 10.3389/fdata.2022.863100

Conference or Workshop Item

Haug, Sophie; Kurpicz-Briki, Mascha (2022). Burnout and Depression Detection Using Affective Word List Ratings Studies in health technology and informatics, 292, pp. 43-48. IOS Press 10.3233/SHTI220318

Nath, Sukanya; Kurpicz-Briki, Mascha (November 2021). BurnoutWords - Detecting Burnout for a Clinical Setting CS & IT Conference Proceedings, 11(18), pp. 177-191. CS & IT Conference Proceedings 10.5121/csit.2021.111815

This list was generated on Fri Jul 1 03:39:39 2022 CEST.
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