| iBreakDown: Uncertainty of Model Explanations for Non-additive Predictive Models A Gosiewska, P Biecek arXiv preprint arXiv:1903.11420, 2019 | 2 | 2019 |
| SAFE ML: Surrogate Assisted Feature Extraction for Model Learning A Gosiewska, A Gacek, P Lubon, P Biecek arXiv preprint arXiv:1902.11035, 2019 | 1 | 2019 |
| auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic A Gosiewska, P Biecek arXiv preprint arXiv:1809.07763, 2018 | 1 | 2018 |
| Models in the Wild: On Corruption Robustness of Neural NLP Systems B Rychalska, D Basaj, A Gosiewska, P Biecek International Conference on Neural Information Processing, 235-247, 2019 | | 2019 |
| Transparency of Machine Learning Models in Credit Scoring M Bücker, G Szepannek, P Biecek, A Gosiewska, M Staniak | | 2019 |
| EPP: interpretable score of model predictive power A Gosiewska, M Bakala, K Woznica, M Zwolinski, P Biecek arXiv preprint arXiv:1908.09213, 2019 | | 2019 |
| survxai: an R package for structure-agnostic explanations of survival models A Grudziaz, A Gosiewska, P Biecek Journal of Open Source Software 3 (31), 961, 2018 | | 2018 |
| auditor: an R package and methodology for validation of statistical models A Gosiewska Zakład Projektowania Systemów CAD/CAM i Komputerowego Wspomagania Medycyny, 2018 | | 2018 |
| survxai: an R package for model agnostic explanations of survival models A Grudziaz, A Gosiewska, P Biecek | | |
