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Summary of SHL Challenge 2023: Recognizing Locomotion and T..:

, In: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing,

Wang, Lin ; Gjoreski, Hristijan ; Ciliberto, Mathias... - p. 575-585 , 2023

Link: https://dl.acm.org/doi/10.1145/3594739.3610758

RT 
T1 <cTitle>Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing</cTitle>: T1 <Title>Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3610758&Exemplar=1&LAN=DE
				
A1 Wang, Lin
A1 Gjoreski, Hristijan
A1 Ciliberto, Mathias
A1 Lago, Paula
A1 Murao, Kazuya
A1 Okita, Tsuyoshi
A1 Roggen, Daniel
PB ACM
YR 2023
K1 Activity recognition
K1 Deep learning
K1 Machine learning
K1 Mobile sensing
K1 Transportation mode recognition
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision tasks
K1 Activity recognition and understanding
SP 575
OP 585
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594739.3610758
DO https://dl.acm.org/doi/10.1145/3594739.3610758
SF ELIB - SuUB Bremen

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