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1
Ensemble Learning using Motion Sensors and Location for Hum..:
, In:
Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
,
Sekiguchi, Ryoichi
;
Minowa, Hiroshi
;
Mori, Yuto
. - p. 586-591 , 2023
Link:
https://dl.acm.org/doi/10.1145/3594739.3610759
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>Ensemble Learning using Motion Sensors and Location for Human Activity Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3610759&Exemplar=1&LAN=DE A1 Sekiguchi, Ryoichi A1 Minowa, Hiroshi A1 Mori, Yuto A1 Kawakatsu, Masaki PB ACM YR 2023 K1 Ensemble learning K1 LSTM K1 Mode Filter K1 XGBoost K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Activity recognition and understanding SP 586 OP 591 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594739.3610759 DO https://dl.acm.org/doi/10.1145/3594739.3610759 SF ELIB - SuUB Bremen
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