| General pitfalls of model-agnostic interpretation methods for machine learning models C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ... International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020 | 143* | 2020 |
| Relating the partial dependence plot and permutation feature importance to the data generating process C Molnar, T Freiesleben, G König, J Herbinger, T Reisinger, ... World Conference on Explainable Artificial Intelligence, 456-479, 2023 | 42 | 2023 |
| Explaining hyperparameter optimization via partial dependence plots J Moosbauer, J Herbinger, G Casalicchio, M Lindauer, B Bischl Advances in Neural Information Processing Systems 34, 2280-2291, 2021 | 41* | 2021 |
| Grouped feature importance and combined features effect plot Q Au, J Herbinger, C Stachl, B Bischl, G Casalicchio Data Mining and Knowledge Discovery 36 (4), 1401-1450, 2022 | 29 | 2022 |
| Portfolio optimization with optimal expected utility risk measures S Geissel, H Graf, J Herbinger, FT Seifried Annals of Operations Research, 1-19, 2022 | 8* | 2022 |
| REPID: Regional Effect Plots with implicit Interaction Detection J Herbinger, B Bischl, G Casalicchio International Conference on Artificial Intelligence and Statistics, 10209-10233, 2022 | 6 | 2022 |
| General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models, arXiv C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ... arXiv preprint arXiv:2007.04131, 2020 | 6 | 2020 |
| Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar W Ghada, E Casellas, J Herbinger, A Garcia-Benadí, L Bothmann, ... Remote Sensing 14 (18), 4563, 2022 | 2 | 2022 |
| Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation J Herbinger, S Dandl, FK Ewald, S Loibl, G Casalicchio arXiv preprint arXiv:2310.03112, 2023 | | 2023 |
| Decomposing Global Feature Effects Based on Feature Interactions J Herbinger, B Bischl, G Casalicchio arXiv preprint arXiv:2306.00541, 2023 | | 2023 |
| Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process T Freiesleben, C Molnar, G König, J Herbinger, T Reisinger, ... What Does Explainable AI Explain?, 2023 | | 2023 |
