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Tackling the SHL challenge 2020 with person-specific classi..:

, In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers,

Kalabakov, Stefan ; Stankoski, Simon ; Reščič, Nina... - p. 323-328 , 2020

Link: https://dl.acm.org/doi/10.1145/3410530.3414848

RT 
T1 <cTitle>Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3414848&Exemplar=1&LAN=DE
				
A1 Kalabakov, Stefan
A1 Stankoski, Simon
A1 Reščič, Nina
A1 Kiprijanovska, Ivana
A1 Andova, Andrejaana
A1 Picard, Clement
A1 Janko, Vito
A1 Gjoreski, Martin
A1 Luštrek, Mitja
PB ACM
YR 2020
K1 activity recognition
K1 clustering
K1 competition
K1 feature extraction
K1 machine learning
K1 semi-supervised learning
K1 smartphone
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by regression
K1 Unsupervised learning
K1 Learning settings
K1 Semi-supervised learning settings
SP 323
OP 328
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3410530.3414848
DO https://dl.acm.org/doi/10.1145/3410530.3414848
SF ELIB - SuUB Bremen

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