897 citations · 2.1k across the 32 of their papers we have counts for
7 papers · 1 filter
Robust Artificial Intelligence and Robust Human Organizations
Thomas G. Dietterich
Every AI system is deployed by a human organization. In high risk applications, the combined human plus AI system must function as a high-reliability organization in order to avoid…
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…
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games
Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich +1
In typical real-time strategy (RTS) games, enemy units are visible only when they are within sight range of a friendly unit. Knowledge of an opponent's disposition is limited to wh…
Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams
Ethan W. Dereszynski, Thomas G. Dietterich
Remote sensors are becoming the standard for observing and recording ecological data in the field. Such sensors can record data at fine temporal resolutions, and they can operate u…
Integrating Learning from Examples into the Search for Diagnostic Policies
V. Bayer-Zubek, T. G. Dietterich
This paper studies the problem of learning diagnostic policies from training examples. A diagnostic policy is a complete description of the decision-making actions of a diagnostici…