| Do not trust additive explanations A Gosiewska, P Biecek arXiv preprint arXiv:1903.11420, 2019 | 48* | 2019 |
| 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 | 10 | 2019 |
| auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics A Gosiewska, P Biecek The R Journal 11 (2), 85--98, 2019 | 10 | 2019 |
| Transparency, auditability, and explainability of machine learning models in credit scoring M Bücker, G Szepannek, A Gosiewska, P Biecek Journal of the Operational Research Society 73 (1), 70-90, 2022 | 9 | 2022 |
| Landscape of R packages for eXplainable Artificial Intelligence S Maksymiuk, A Gosiewska, P Biecek arXiv preprint arXiv:2009.13248, 2020 | 8 | 2020 |
| Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering A Gosiewska, A Kozak, P Biecek Decision Support Systems 150, 113556, 2021 | 7 | 2021 |
| shapper: Wrapper of Python Library’shap’." S Maksymiuk, A Gosiewska, P Biecek, M Staniak, M Burdukiewicz | 6 | 2020 |
| SAFE ML: Surrogate Assisted Feature Extraction for Model Learning A Gosiewska, A Gacek, P Lubon, P Biecek arXiv preprint arXiv:1902.11035, 2019 | 6 | 2019 |
| Transparency, auditability and explainability of machine learning models in credit scoring M Bücker, G Szepannek, A Gosiewska, P Biecek arXiv preprint arXiv:2009.13384, 2020 | 5 | 2020 |
| The 1-year safety and efficacy outcomes of Magmaris, novel magnesium bioresorbable vascular scaffolds in diabetes mellitus patients with acute coronary syndrome A Włodarczak, M Łanocha, M Szudrowicz, M Barycki, A Gosiewska, ... Journal of Clinical Medicine 10 (14), 3166, 2021 | 3 | 2021 |
| Enabling Machine Learning Algorithms for Credit Scoring--Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models P Biecek, M Chlebus, J Gajda, A Gosiewska, A Kozak, D Ogonowski, ... arXiv preprint arXiv:2104.06735, 2021 | 3 | 2021 |
| Interpretable meta-measure for model performance A Gosiewska, K Woznica, P Biecek arXiv preprint arXiv:2006.02293, 2020 | 2 | 2020 |
| Epp: interpretable score of model predictive power A Gosiewska, M Bakala, K Woznica, M Zwolinski, P Biecek arXiv preprint arXiv:1908.09213, 2019 | 2 | 2019 |
| Sex differences in the clinical features and outcomes of patients with acute coronary syndrome treated with two generations (absorb and Magmaris) of bioresorbable vascular … A Włodarczak, P Rola, M Szudrowicz, M Łanocha, M Barycki, JJ Kulczycki, ... Journal of Clinical Medicine 10 (17), 3768, 2021 | 1 | 2021 |
| countfitteR: efficient selection of count distributions to assess DNA damage J Chilimoniuk, A Gosiewska, J Słowik, RP Weiss, M Deckert, S Rödiger, ... Annals of Translational Medicine 9 (7), 2021 | 1 | 2021 |
| Outcomes of the two generations of bioresorbable scaffolds (Magmaris vs. Absorb) in acute coronary syndrome in routine clinical practice P Rola, A Włodarczak, M Łanocha, M Barycki, M Szudrowicz, JJ Kulczycki, ... Cardiology Journal, 2022 | | 2022 |
| 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 |
Przemyslaw BiecekWarsaw University of TechnologyVerified email at mimuw.edu.pl
