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Domain adaptation methods for improving lab-to-field genera..:
, In:
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
,
Natarajan, Annamalai
;
Angarita, Gustavo
;
Gaiser, Edward
... - p. 875-885 , 2016
Link:
https://dl.acm.org/doi/10.1145/2971648.2971666
RT T1 <cTitle>Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing</cTitle>: T1 <Title>Domain adaptation methods for improving lab-to-field generalization of cocaine detection using wearable ECG</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2971666&Exemplar=1&LAN=DE A1 Natarajan, Annamalai A1 Angarita, Gustavo A1 Gaiser, Edward A1 Malison, Robert A1 Ganesan, Deepak A1 Marlin, Benjamin M. PB ACM YR 2016 K1 classification K1 cocaine detection K1 covariate shift K1 domain adaptation K1 prior probability shift K1 wearable sensors K1 Computing methodologies K1 Machine learning SP 875 OP 885 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2971648.2971666 DO https://dl.acm.org/doi/10.1145/2971648.2971666 SF ELIB - SuUB Bremen
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