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1 Ergebnisse
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Joint Modeling of Heterogeneous Sensing Data for Depression..:
Lu, Jin
;
Shang, Chao
;
Yue, Chaoqun
...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2 (2018) 1 - p. 1-21 , 2018
Link:
https://dl.acm.org/doi/10.1145/3191753
RT Journal T1 <Title>Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3191753&Exemplar=1&LAN=DE A1 Lu, Jin A1 Shang, Chao A1 Yue, Chaoqun A1 Morillo, Reynaldo A1 Ware, Shweta A1 Kamath, Jayesh A1 Bamis, Athanasios A1 Russell, Alexander A1 Wang, Bing A1 Bi, Jinbo PB ACM YR 2018 SN 2474-9567 K1 Depression assessment K1 Multi-task learning K1 Prediction K1 Sensor data analysis K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Human-centered computing K1 Ubiquitous and mobile computing K1 Ubiquitous and mobile computing systems and tools JF Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies VO 2 IS 1 SP 1 OP 21 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3191753 DO https://dl.acm.org/doi/10.1145/3191753 SF ELIB - SuUB Bremen
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