Annabelle Redelmeier

According to our database, Annabelle Redelmeier authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python.

Martin Jullum, Lars Henry Berge Olsen, Jon Lachmann, Annabelle Redelmeier

CoRR, April, 2025

2024

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., July, 2024

2021

MCCE: Monte Carlo sampling of realistic counterfactual explanations.

Annabelle Redelmeier, Martin Jullum, Kjersti Aas, Anders Løland

CoRR, 2021

groupShapley: Efficient prediction explanation with Shapley values for feature groups.

Martin Jullum, Annabelle Redelmeier, Kjersti Aas

CoRR, 2021

Efficient and Simple Prediction Explanations with GroupShapley: A Practical Perspective.

Martin Jullum, Annabelle Redelmeier, Kjersti Aas

Proceedings of the 2nd Italian Workshop on Explainable Artificial Intelligence co-located with 20th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2021), 2021

2020

Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees.

Annabelle Redelmeier, Martin Jullum, Kjersti Aas

Proceedings of the Machine Learning and Knowledge Extraction, 2020