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This project forked from zjuwuyy-dl/generative-semi-supervised-learning-for-multivariate-time-series-imputation
generative-semi-supervised-learning-for-multivariate-time-series-imputation's Introduction
To run the code:
python main.py
Requirements:
torch 1.0.0
and some other libraries...
Data Download Links:
(1) Air Quality Data: URL: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/STMVL-Release.zip
(2) Health-care Data: URL: https://physionet.org/challenge/2012/ We use the test-a.zip in our experiment.
(3) Human Activity Data: URL: https://archive.ics.uci.edu/ml/datasets/Localization+Data+for+Person+Activity
Paper Link: https://www.aaai.org/AAAI21Papers/AAAI-7391.MiaoX.pdf
If you have any question, please contact "[email protected]".
Citation:
@InProceedings{miao2021generative,
Title = {Generative Semi-supervised Learning for Multivariate Time Series Imputation},
Author = {Miao, Xiaoye and Wu, Yangyang and Wang, Jun and Gao, Yunjun and Mao, Xudong and Yin, Jianwei},
Booktitle = {AAAI},
Year = {2021}
}
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