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Attend and Discriminate : Beyond the State-of-the-Art fo..:

Abedin, Alireza ; Ehsanpour, Mahsa ; Shi, Qinfeng..
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5 (2021) 1 - p. 1-22 , 2021

Link: https://dl.acm.org/doi/10.1145/3448083

RT Journal
T1 <Title>Attend and Discriminate				: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3448083&Exemplar=1&LAN=DE
				
A1 Abedin, Alireza
A1 Ehsanpour, Mahsa
A1 Shi, Qinfeng
A1 Rezatofighi, Hamid
A1 Ranasinghe, Damith C.
PB ACM
YR 2021
SN 2474-9567
K1 activity recognition
K1 attention
K1 center-loss
K1 cross-channel interaction encoder
K1 data augmentation
K1 deep learning
K1 time-series data
K1 wearable sensors
K1 Human-centered computing
K1 Ubiquitous and mobile computing
K1 Ubiquitous and mobile computing theory, concepts and paradigms
K1 Ubiquitous computing
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Machine learning approaches
K1 Neural networks
JF Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
VO 5
IS 1
SP 1
OP 22
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3448083
DO https://dl.acm.org/doi/10.1145/3448083
SF ELIB - SuUB Bremen

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