Enabling Machine Learning Algorithms for Credit Scoring - Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models. - Przemyslaw Biecek; Marcin Chlebus; Janusz Gajda; Alicja Gosiewska; Anna Kozak; Dominik Ogonowski; Jakub Sztachelski; Piotr Wojewnik (CoRR, 2021)

Multiclass Image Classification Using GANs and CNN Based on Holes Drilled in Laminated Chipboard. - Grzegorz Wieczorek; Marcin Chlebus; Janusz Gajda; Katarzyna Chyrowicz; Kamila Kontna; Michal Korycki; Albina Jegorowa; Michal Kruk (Sensors, 2021)

The Advantage of Case-Tailored Information Metrics for the Development of Predictive Models, Calculated Profit in Credit Scoring. - Daniel Chroscicki; Marcin Chlebus (Entropy, 2022)

A Probability-Based Models Ranking Approach: An Alternative Method of Machine-Learning Model Performance Assessment. - Stanislaw Gajda; Marcin Chlebus (Sensors, 2022)

Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations? - Mateusz Cedro; Marcin Chlebus (CoRR, 2024)