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SUSTeR: Sparse Unstructured Spatio Temporal Reconstruction ..:
, In:
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems
,
Wölker, Yannick
;
Beth, Christian
;
Renz, Matthias
. - p. 1-10 , 2023
Link:
https://dl.acm.org/doi/10.1145/3589132.3625631
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>SUSTeR: Sparse Unstructured Spatio Temporal Reconstruction on Traffic Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3625631&Exemplar=1&LAN=DE A1 Wölker, Yannick A1 Beth, Christian A1 Renz, Matthias A1 Biastoch, Arne PB ACM YR 2023 K1 sparse data K1 spatio-temporal K1 unstructured observations K1 imputation K1 traffic prediction K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning latent representations K1 Neural networks K1 Artificial intelligence K1 Knowledge representation and reasoning K1 Spatial and physical reasoning SP 1 OP 10 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589132.3625631 DO https://dl.acm.org/doi/10.1145/3589132.3625631 SF ELIB - SuUB Bremen
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