The Need for Data-driven Bike Fitting: Data Study of Subjective Expert Fitting. - Jarich Braeckevelt; Jelle De Bock; Joke Schuermans; Steven Verstockt; Erik Witvrouw; Jeroen Dierckx (icSPORTS, 2019)

Data-driven Summarization and Synchronized Second-screen Enrichment of Cycling Races: Using Live and Historical Sports Data to Reinvent Traditional Reporting. - Steven Verstockt; Erik Mannens; Jelle De Bock (AI4TV@MM, 2019)

GPS Driven Camera Selection in Cyclocross Races for Automatic Rider Story Generation. - Jelle De Bock; Alec Van Den Broeck; Steven Verstockt (icSPORTS, 2020)

Data-driven Summarization of Broadcasted Cycling Races by Automatic Team and Rider Recognition. - Steven Verstockt; Alec Van Den Broeck; Brecht Van Vooren; Simon De Smul; Jelle De Bock (icSPORTS, 2020)

SmarterROUTES - A Data-driven Context-aware Solution for Personalized Dynamic Routing and Navigation. - Jelle De Bock; Steven Verstockt (ACM Trans. Spatial Algorithms Syst., 2020)

Sensor-Based Performance Monitoring in Track Cycling. - Michaël Steyaert; Jelle De Bock; Steven Verstockt (MLSA@PKDD/ECML, 2021)

Video-Based Analysis and Reporting of Riding Behavior in Cyclocross Segments. - Jelle De Bock; Steven Verstockt (Sensors, 2021)

Video- and Location-based Analysis of Cycling Routes for Safety Measures and Fan Engagement. - Pirlouit Dumez; Guillaume Prévost 003; Maarten Slembrouck; Jelle De Bock; Julien Marbaix; Steven Verstockt (MMSports@MM, 2022)

Road cycling safety scoring based on geospatial analysis, computer vision and machine learning. - Jelle De Bock; Steven Verstockt (Multim. Tools Appl., 2023)

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

Fully Automatic Camera for Personalized Highlight Generation in Sporting Events. - Robbe Decorte; Jelle De Bock; Joachim Taelman; Maarten Slembrouck; Steven Verstockt (Sensors, 2024)