Selective Imputation for Multivariate Time Series Datasets With Missing Values

Author:

Blázquez-García Ane1ORCID,Wickstrøm Kristoffer2ORCID,Yu Shujian2ORCID,Mikalsen Karl Øyvind2ORCID,Boubekki Ahcène2ORCID,Conde Angel3ORCID,Mori Usue4ORCID,Jenssen Robert2ORCID,Lozano Jose A.4ORCID

Affiliation:

1. Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), Arrasate/Mondragón, Spain

2. Visual Intelligence Centre and the UiT Machine Learning Group, Department of Physics and Technology, UiT the Arctic University of Norway, Tromsø, Norway

3. Amazon Web Services, Madrid, Spain

4. Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, Donostia/San Sebastian, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Reference44 articles.

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3. Multi-time attention networks for irregularly sampled time series;shukla;Proc Int Conf Learn Representations,2021

4. The UEA multivariate time series classification archive;bagnall,2018

5. A scalable end-to-end gaussian process adapter for irregularly sampled time series classification;li;Proc 30th Int Conf Neural Inf Process Syst,2016

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