2020
What went wrong and when? Instance-wise feature importance for time-series black-box models
NeurIPS 2020poster
Explanations of time series models are useful for high stakes applications like healthcare but have received little attention in machine learning literature. We propose FIT, a framework that evaluates the importance of observations for a multivariate time-series black-box model by quantifying the sh…