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Cross-modal Recurrent Models for Weight Objective Predictio..:

, In: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare,

Veličković, Petar ; Karazija, Laurynas ; Lane, Nicholas D.... - p. 178-186 , 2018

Link: https://dl.acm.org/doi/10.1145/3240925.3240937

RT 
T1 <cTitle>Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare</cTitle>: T1 <Title>Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3240937&Exemplar=1&LAN=DE
				
A1 Veličković, Petar
A1 Karazija, Laurynas
A1 Lane, Nicholas D.
A1 Bhattacharya, Sourav
A1 Liberis, Edgar
A1 Liò, Pietro
A1 Chieh, Angela
A1 Bellahsen, Otmane
A1 Vegreville, Matthieu
PB ACM
YR 2018
K1 Fitness applications
K1 Health data analytics
K1 Long short-term memory
K1 Multimodal time-series prediction
K1 X-LSTM
K1 Human-centered computing
K1 Ubiquitous and mobile computing
K1 Empirical studies in ubiquitous and mobile computing
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Applied computing
K1 Life and medical sciences
K1 Health informatics
K1 Cross-validation
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
SP 178
OP 186
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3240925.3240937
DO https://dl.acm.org/doi/10.1145/3240925.3240937
SF ELIB - SuUB Bremen

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