| Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering A Gosiewska, A Kozak, P Biecek Decision Support Systems 150, 113556, 2021 | 45 | 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 | 12 | 2021 |
| The use of autoencoders for training neural networks with mixed categorical and numerical features Ł Delong, A Kozak ASTIN Bulletin: The Journal of the IAA 53 (2), 213-232, 2023 | 9 | 2023 |
| forester: A Novel Approach to Accessible and Interpretable AutoML for Tree-Based Modeling A Kozak, H Ruczyński AutoML Conference 2023 (ABCD Track), 2023 | | 2023 |
| Analysis of machine learning models used in the process of building model ensembles for the regression task J Ruciński, A Kozak Zakład Projektowania Systemów CAD/CAM i Komputerowego Wspomagania Medycyny, 2023 | | 2023 |
| The Hermite polynomials-properties and applications A Kozak Zakład Sztucznej Inteligencji i Metod Obliczeniowych, 2017 | | 2017 |
| A visual journey through AutoML. cattleia: a tool for deep dive into ensembles J Piwko, D Kędzierski, M Wojewoda, A Kozak | | |
| Building Trust in Machine Learning: The Role of Explainable AI A Kozak ISFS 2023, 51, 0 | | |
| vivo: local variable importance via oscillations A Kozak, P Biecek | | |
