| Shapley chains: Extending Shapley values to classifier chains CW Ayad, T Bonnier, B Bosch, J Read International Conference on Discovery Science, 541-555, 2022 | 4 | 2022 |
| Engineering Uncertainty Representations to Monitor Distribution Shifts T Bonnier, B Bosch NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 4 | 2022 |
| Towards safe machine learning lifecycles with esg model cards T Bonnier, B Bosch International Conference on Computer Safety, Reliability, and Security, 369-381, 2023 | 3 | 2023 |
| Revisiting Multimodal Transformers for Tabular Data with Text Fields T Bonnier Findings of the Association for Computational Linguistics ACL 2024, 1481-1500, 2024 | 1 | 2024 |
| Leveraging Error Patterns to Correct Prediction Intervals T Bonnier ECAI 2023, 287 - 294, 2023 | 1 | 2023 |
| Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models CW Ayad, T Bonnier, B Bosch, S Parbhoo, J Read arXiv preprint arXiv:2502.07153, 2025 | | 2025 |
| Harnessing Error Patterns to Estimate Out-of-Distribution Performance T Bonnier, B Bosch Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk Factors CW Ayad, T Bonnier, B Bosch, J Read, S Parbhoo | | 2023 |
| Assessing the Robustness of Ordinal Classifiers against Imbalanced and Shifting Distributions T Bonnier, B Bosch ECML-PKDD 2022 Fourth International Workshop on Learning with Imbalanced …, 2022 | | 2022 |
| Completing the Model Optimization Process by Correcting Patterns of Failure in Regression Tasks T Bonnier NeurIPS 2022 Workshop on Optimization for Machine Learning, 2022 | | 2022 |
