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1 Ergebnisse
1
Scaling health analytics to millions without compromising p..:
, In:
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
,
Veličković, Petar
;
Lane, Nicholas D.
;
Bhattacharya, Sourav
... - p. 92-100 , 2017
Link:
https://dl.acm.org/doi/10.1145/3154862.3154873
RT T1 <cTitle>Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare</cTitle>: T1 <Title>Scaling health analytics to millions without compromising privacy using deep distributed behavior models</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3154873&Exemplar=1&LAN=DE A1 Veličković, Petar A1 Lane, Nicholas D. A1 Bhattacharya, Sourav A1 Chieh, Angela A1 Bellahsen, Otmane A1 Vegreville, Matthieu PB ACM YR 2017 K1 deep learning K1 digital health K1 user privacy K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Applied computing K1 Life and medical sciences K1 Consumer health SP 92 OP 100 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3154862.3154873 DO https://dl.acm.org/doi/10.1145/3154862.3154873 SF ELIB - SuUB Bremen
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