| Explaining predictive models with mixed features using Shapley values and conditional inference trees A Redelmeier, M Jullum, K Aas Machine Learning and Knowledge Extraction: 4th IFIP TC 5, TC 12, WG 8.4, WG …, 2020 | 21 | 2020 |
| groupShapley: Efficient prediction explanation with Shapley values for feature groups M Jullum, A Redelmeier, K Aas arXiv preprint arXiv:2106.12228, 2021 | 12 | 2021 |
| Challenges in interpreting results from ‘multiple regression’when there is interaction between covariates I Shrier, A Redelmeier, ME Schnitzer, RJ Steele BMJ Evidence-Based Medicine 26 (2), 53-56, 2021 | 9 | 2021 |
| Kjersti Aas, and Anders Løland. 2021. MCCE: Monte Carlo sampling of realistic counterfactual explanations A Redelmeier, M Jullum arXiv preprint arXiv:2111.09790, 2021 | 7 | 2021 |
| Efficient and simple prediction explanations with groupShapley: A practical perspective M Jullum, AA Redelmeier, K Aas | 6 | 2021 |
| MCCE: Monte Carlo sampling of realistic counterfactual explanations A Redelmeier, M Jullum, K Aas, A Løland arXiv preprint arXiv:2111.09790, 2021 | 5 | 2021 |
| Shapr: Prediction explanation with dependence-aware Shapley values N Sellereite, M Jullum, A Redelmeier R package version 0.2. 0, 2021 | 5 | 2021 |
| Shapr: Prediction Explanation with Dependence-Aware Shapley Values. 2023 N Sellereite, M Jullum, A Redelmeier, J Lachmann R package version 0.2. 0 20, 0 | 5 | |
| The influence of time of season on injury rates and the epidemiology of Canadian football injuries SM Robbins, C Bodnar, P Donatien, R Mirza, ZY Zhao, S Hoeber, ... Clinical journal of sport medicine 31 (6), e453-e459, 2021 | 3 | 2021 |
| MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data A Redelmeier, M Jullum, K Aas, A Løland Data Mining and Knowledge Discovery, 1-32, 2024 | | 2024 |
| Predicting a food product’s missing nutritional values using machine learning and matching algorithms from natural language processing A Redelmeier, A Løland | | |
| Efficient Shapley value explanation through feature groups M Jullum, A Redelmeier, K Aas | | |
