wangjiali0310 / generative-semi-supervised-learning-for-multivariate-time-series-imputation Goto Github PK

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}
}