Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees. - Annabelle Redelmeier; Martin Jullum; Kjersti Aas (CD-MAKE, 2020)

groupShapley: Efficient prediction explanation with Shapley values for feature groups. - Martin Jullum; Annabelle Redelmeier; Kjersti Aas (CoRR, 2021)

MCCE: Monte Carlo sampling of realistic counterfactual explanations. - Annabelle Redelmeier; Martin Jullum; Kjersti Aas; Anders Løland (CoRR, 2021)

MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data. - Annabelle Redelmeier; Martin Jullum; Kjersti Aas; Anders Løland (Data Min. Knowl. Discov., 2024)

shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python. - Martin Jullum; Lars Henry Berge Olsen; Jon Lachmann; Annabelle Redelmeier (CoRR, 2025)