Topic Modeling Applied to Reddit Posts. - Maria Kedzierska; Mikolaj Spytek; Marcelina Kurek; Jan Sawicki; Maria Ganzha; Marcin Paprzycki (BDA (Astronomy, Science, and Engineering), 2023)

Challenges facing the explainability of age prediction models: case study for two modalities. - Mikolaj Spytek; Weronika Hryniewska-Guzik; Jaroslaw Zygierewicz; Jacek Rogala; Przemyslaw Biecek (CoRR, 2023)

SurvSHAP(t): Time-dependent explanations of machine learning survival models. - Mateusz Krzyzinski; Mikolaj Spytek; Hubert Baniecki; Przemyslaw Biecek (Knowl. Based Syst., 2023)

survex: an R package for explaining machine learning survival models. - Mikolaj Spytek; Mateusz Krzyzinski; Sophie Hanna Langbein; Hubert Baniecki; Marvin N. Wright; Przemyslaw Biecek (Bioinform., 2023)

Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data. - André Fonseca; Mikolaj Spytek; Przemyslaw Biecek; Clara Cordeiro; Nuno Sepúlveda (BioData Min., 2024)

Interpretable Machine Learning for Survival Analysis. - Sophie Hanna Langbein; Mateusz Krzyzinski; Mikolaj Spytek; Hubert Baniecki; Przemyslaw Biecek; Marvin N. Wright (CoRR, 2024)

Mining United Nations General Assembly Debates. - Mateusz Grzyb; Mateusz Krzyzinski; Bartlomiej Sobieski; Mikolaj Spytek; Bartosz Pielinski; Daniel Dan; Anna Wróblewska (CoRR, 2024)