Heterogeneous ensembles of classifiers in predicting Bundesliga football results. - Jan Kozak; Szymon Glowania (KES, 2021)

Real-World Data Difficulty Estimation with the Use of Entropy. - Przemyslaw Juszczuk; Jan Kozak; Grzegorz Dziczkowski; Szymon Glowania; Tomasz Jach; Barbara Probierz (Entropy, 2021)

New Voting Schemas for Heterogeneous Ensemble of Classifiers in the Problem of Football Results Prediction. - Szymon Glowania; Jan Kozak; Przemyslaw Juszczuk (KES, 2022)

Goal-Oriented Classification of Football Results. - Szymon Glowania; Jan Kozak; Przemyslaw Juszczuk (ICCCI, 2023)

Dimensionality reduction for real sports data from the German Bundesliga and English Premier League. - Szymon Glowania; Jan Kozak; Przemyslaw Juszczuk (KES, 2023)

Stepwise Approach to Automatically Building an Ensemble of Classifiers on Football Data. - Szymon Glowania (ACIIDS (Companion 2), 2024)

Identification of Users in a Gambling Problem with the Use of Machine Learning. - Tomasz Jach; Barbara Probierz; Jan Kozak; Piotr Stefanski; Grzegorz Dziczkowski; Anita Hrabia; Przemyslaw Juszczuk; Szymon Glowania; Gabriel Wolek; Wojciech Sznapka; Lukasz Swierk; Natalia Joniec (ACIIDS (2), 2024)

A Heterogeneous Ensemble of Classifiers for Sports Betting: Based on the English Premier League. - Szymon Glowania; Jan Kozak; Przemyslaw Juszczuk (ICCCI (1), 2024)