Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation Regularization. Feng, T. & Narayanan, S. S. In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, July 23-27, 2019, pages 2529–2534, 2019. Paper doi bibtex @inproceedings{DBLP:conf/embc/FengN19,
author = {Tiantian Feng and
Shrikanth S. Narayanan},
title = {Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable
Recordings Using Bidirectional Recurrent Neural Networks With Temporal
Activation Regularization},
booktitle = {41st Annual International Conference of the {IEEE} Engineering in
Medicine and Biology Society, {EMBC} 2019, Berlin, Germany, July 23-27,
2019},
pages = {2529--2534},
year = {2019},
crossref = {DBLP:conf/embc/2019},
url = {https://doi.org/10.1109/EMBC.2019.8856966},
doi = {10.1109/EMBC.2019.8856966},
timestamp = {Tue, 03 Dec 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/bib/conf/embc/FengN19},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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