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SelfHAR : Improving Human Activity Recognition through S..:

Tang, Chi Ian ; Perez-Pozuelo, Ignacio ; Spathis, Dimitris...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5 (2021) 1 - p. 1-30 , 2021

Link: https://dl.acm.org/doi/10.1145/3448112

RT Journal
T1 <Title>SelfHAR				: Improving Human Activity Recognition through Self-training with Unlabeled Data</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3448112&Exemplar=1&LAN=DE
				
A1 Tang, Chi Ian
A1 Perez-Pozuelo, Ignacio
A1 Spathis, Dimitris
A1 Brage, Soren
A1 Wareham, Nick
A1 Mascolo, Cecilia
PB ACM
YR 2021
SN 2474-9567
K1 deep learning
K1 human activity recognition
K1 self-supervised training
K1 self-training
K1 semi-supervised training
K1 unlabeled data
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Multi-task learning
K1 Supervised learning
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Machine learning approaches
K1 Neural networks
K1 Human-centered computing
K1 Ubiquitous and mobile computing
K1 Human computer interaction (HCI)
K1 Empirical studies in HCI
K1 Unsupervised learning
JF Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
VO 5
IS 1
SP 1
OP 30
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3448112
DO https://dl.acm.org/doi/10.1145/3448112
SF ELIB - SuUB Bremen

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