Diverse Counterfactual Explanations for Anomaly Detection in Time Series

Deborah Sulem, Michele Donini, Muhammad Bilal Zafar +6

Data-driven methods that detect anomalies in times series data are ubiquitous in practice, but they are in general unable to provide helpful explanations for the predictions they m…