Waste detection in Pomerania: non-profit project for detecting waste in environment. - Sylwia Majchrowska; Agnieszka Mikolajczyk; Maria Ferlin; Zuzanna Klawikowska; Marta A. Plantykow; Arkadiusz Kwasigroch; Karol Majek (CoRR, 2021)

Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis. - Maria Ferlin; Zuzanna Klawikowska; Julia Niemierko; Malgorzata Grzywinska; Arkadiusz Kwasigroch; Edyta Szurowska; Michal Grochowski (DPS, 2022)

Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models. - Jakub Buler; Rafal Buler; Maciej Bobowicz; Maria Ferlin; Marlena Rygusik; Arkadiusz Kwasigroch; Michal Grochowski (MMAR, 2023)

Review of methods for automatic cerebral microbleeds detection. - Maria Ferlin; Zuzanna Klawikowska; Michal Grochowski; Malgorzata Grzywinska; Edyta Szurowska (CoRR, 2023)

On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study. - Maria Ferlin; Sylwia Majchrowska; Marta A. Plantykow; Alicja Kwasniwska; Agnieszka Mikolajczyk-Barela; Milena Olech; Jakub Nalepa (CoRR, 2023)

Targeted Data Augmentation for bias mitigation. - Agnieszka Mikolajczyk-Barela; Maria Ferlin; Michal Grochowski (CoRR, 2023)

Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges. - Maria Ferlin; Zuzanna Klawikowska; Michal Grochowski; Malgorzata Grzywinska; Edyta Szurowska (Expert Syst. Appl., 2023)

Quantifying inconsistencies in the Hamburg Sign Language Notation System. - Maria Ferlin; Sylwia Majchrowska; Marta A. Plantykow; Alicja Kwasniewska; Agnieszka Mikolajczyk-Barela; Milena Olech; Jakub Nalepa (Expert Syst. Appl., 2024)

Targeted data augmentation for improving model robustness. - Agnieszka Mikolajczyk-Barela; Maria Ferlin; Michal Grochowski (Int. J. Appl. Math. Comput. Sci., 2025)