68 citations · 159 across the 12 of their papers we have counts for
3 papers · 1 filter
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
Matthew L. Olson, Roli Khanna, Lawrence Neal +2
Counterfactual explanations, which deal with "why not?" scenarios, can provide insightful explanations to an AI agent's behavior. In this work, we focus on generating counterfactua…
A Meta-Analysis of the Anomaly Detection Problem
Andrew Emmott, Shubhomoy Das, Thomas Dietterich +2
This article provides a thorough meta-analysis of the anomaly detection problem. To accomplish this we first identify approaches to benchmarking anomaly detection algorithms across…
Sequential Feature Explanations for Anomaly Detection
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich +1
In many applications, an anomaly detection system presents the most anomalous data instance to a human analyst, who then must determine whether the instance is truly of interest (e…