Methods

Explainable AI for Improved Heart Disease Prediction

Algebraic Aggregation of Random Forests

Explaining Random Forests with Representative Trees

Explaining Random Forests with Boolean Satisfiability

How Subsets of the Training Data Affect a Prediction

Counterfactual Explanations Help Identify Sources of Bias

Faithful and Customizable Explanations of Black Box Models