Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation Regularization. Feng, T. and 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}
}