Mikolaj Spytek

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Statistical Models

Prognostic Models

Machine Learning

Top Venues

BDA (Astronomy, Science, and Engineering)

Publications

Sophie Hanna Langbein, Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek, Marvin N. Wright
Interpretable Machine Learning for Survival Analysis. CoRR (2024)
André Fonseca, Mikolaj Spytek, Przemyslaw Biecek, Clara Cordeiro, Nuno Sepúlveda
Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data. BioData Min. 17 (1) (2024)
Mateusz Grzyb, Mateusz Krzyzinski, Bartlomiej Sobieski, Mikolaj Spytek, Bartosz Pielinski, Daniel Dan, Anna Wróblewska
Mining United Nations General Assembly Debates. CoRR (2024)
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
survex: an R package for explaining machine learning survival models. CoRR (2023)
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
SurvSHAP(t): Time-dependent explanations of machine learning survival models. Knowl. Based Syst. 262 (2023)
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
survex: an R package for explaining machine learning survival models. Bioinform. 39 (12) (2023)
Mikolaj Spytek, Weronika Hryniewska-Guzik, Jaroslaw Zygierewicz, Jacek Rogala, Przemyslaw Biecek
Challenges facing the explainability of age prediction models: case study for two modalities. CoRR (2023)
Maria Kedzierska, Mikolaj Spytek, Marcelina Kurek, Jan Sawicki, Maria Ganzha, Marcin Paprzycki
Topic Modeling Applied to Reddit Posts. BDA (Astronomy, Science, and Engineering) (2023)
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
SurvSHAP(t): Time-dependent explanations of machine learning survival models. CoRR (2022)