Explainable clustering with multidimensional bounding boxes. - Michal Kuk; Szymon Bobek; Grzegorz J. Nalepa (DSAA, 2021)

Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models. - Michal Kuk; Szymon Bobek; Grzegorz J. Nalepa (ICCS (3), 2022)

Enhancing Cluster Analysis With Explainable AI and Multidimensional Cluster Prototypes. - Szymon Bobek; Michal Kuk; Maciej Szelazek; Grzegorz J. Nalepa (IEEE Access, 2022)

Feature Importances as a Tool for Root Cause Analysis in Time-Series Events. - Michal Kuk; Szymon Bobek; Bruno Veloso; Lala H. Rajaoarisoa; Grzegorz J. Nalepa (ICCS (5), 2023)

KnAC: an approach for enhancing cluster analysis with background knowledge and explanations. - Szymon Bobek; Michal Kuk; Jakub Brzegowski; Edyta Brzychczy; Grzegorz J. Nalepa (Appl. Intell., 2023)

Hybrid and co-learning approach for anomalies prediction and explanation of wind turbine systems. - Lala H. Rajaoarisoa; Michal Kuk; Szymon Bobek; Moamar Sayed-Mouchaweh (Eng. Appl. Artif. Intell., 2024)

LLMs & Legal Aid: Understanding Legal Needs Exhibited Through User Queries. - Michal Kuk; Jakub Harasta (CoRR, 2025)