2018
BRITS: Bidirectional Recurrent Imputation for Time Series
NeurIPS 2018poster
Time series are widely used as signals in many classification/regression tasks. It is ubiquitous that time series contains many missing values. Given multiple correlated time series data, how to fill in missing values and to predict their class labels? Existing imputation methods often impose strong…