Blar i Vitenskapelige tidsskriftartikler og konferanseartikler med fagfellevurdering (NVI-kategori) på forfatter "Redelmeier, Annabelle Alice"
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Efficient and simple prediction explanations with groupShapley: A practical perspective
Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti (Peer reviewed; Journal article, 2021) -
Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees
Redelmeier, Annabelle Alice; Jullum, Martin; Aas, Kjersti (Chapter, 2022)It is becoming increasingly important to explain complex, black-box machine learning models. Although there is an expanding literature on this topic, Shapley values stand out as a sound method to explain predictions from ... -
MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data
Redelmeier, Annabelle Alice; Jullum, Martin; Aas, Kjersti; Løland, Anders (Journal article; Peer reviewed, 2024)We introduce MCCE: Monte Carlo sampling of valid and realistic Counterfactual Explanations for tabular data, a novel counterfactual explanation method that generates on-manifold, actionable and valid counterfactuals by ...