Fit interpretable models. Explain blackbox machine learning.

Explaining dimensionality results using SHAP values

Re-implementation of GP-GOMEA that attempts to be simpler to understand and use than the original.

Describe data in terms of informative and concise sets of patterns

counterfactual explanations for XGBoost and tree ensemble models - counterfactual reasoning - model interpretability

Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions