Imputation of Non-participated Race Results. - Bram Janssens; Matthias Bogaert (MLSA@PKDD/ECML, 2021)

Bike2Vec: Vector Embedding Representations of Road Cycling Riders and Races. - Ethan Baron 001; Bram Janssens; Matthias Bogaert (CoRR, 2023)

Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents. - Bram Janssens; Matthias Bogaert; Mathijs Maton (Ann. Oper. Res., 2023)

Geospatial Road Cycling Race Results Data Set. - Bram Janssens; Luca Pappalardo; Jelle De Bock; Matthias Bogaert; Steven Verstockt (CoRR, 2024)

360 Degrees rumor detection: When explanations got some explaining to do. - Bram Janssens; Lisa Schetgen; Matthias Bogaert; Matthijs Meire; Dirk Van den Poel (Eur. J. Oper. Res., 2024)

Correction: Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents. - Bram Janssens; Matthias Bogaert; Mathijs Maton (Ann. Oper. Res., 2024)

B2Boost: instance-dependent profit-driven modelling of B2B churn. - Bram Janssens; Matthias Bogaert; Astrid Bagué; Dirk Van den Poel (Ann. Oper. Res., 2024)

PerfoRank: cluster-based performance ranking for improved performance evaluation and estimation in professional cycling. - Bram Janssens; Matthias Bogaert (Mach. Learn., 2025)