Improving a Credit Scoring Model by Incorporating Bank Statement Derived Features. - Rory P. Bunker; Wenjun Zhang; M. Asif Naeem (CoRR, 2016)

The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review. - Rory P. Bunker; Teo Susnjak (CoRR, 2019)

Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union. - Rory P. Bunker; Keisuke Fujii 001; Hiroyuki Hanada; Ichiro Takeuchi (CoRR, 2020)

Performance Indicators Contributing To Success At The Group And Play-Off Stages Of The 2019 Rugby World Cup. - Rory P. Bunker; Kirsten Spencer (CoRR, 2020)

The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review. - Rory P. Bunker; Teo Susnjak (J. Artif. Intell. Res., 2022)

Multi-Agent Deep-Learning Based Comparative Analysis of Team Sport Trajectories. - Zhang Ziyi; Rory P. Bunker; Kazuya Takeda; Keisuke Fujii 001 (IEEE Access, 2023)

Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball. - Rory P. Bunker; Vo Nguyen Le Duy; Yasuo Tabei; Ichiro Takeuchi; Keisuke Fujii 001 (CoRR, 2023)

TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos. - Atom Scott; Ikuma Uchida; Ning Ding; Rikuhei Umemoto; Rory P. Bunker; Ren Kobayashi; Takeshi Koyama; Masaki Onishi; Yoshinari Kameda; Keisuke Fujii 001 (CVPR Workshops, 2024)

Machine Learning for Soccer Match Result Prediction. - Rory P. Bunker; Calvin Yeung 001; Keisuke Fujii 001 (CoRR, 2024)

Unveiling Multi-Agent Strategies: A Data-Driven Approach for Extracting and Evaluating Team Tactics from Football Event and Freeze-Frame Data. - Calvin Yeung 001; Rory P. Bunker; Keisuke Fujii 001 (J. Robotics Mechatronics, 2024)

Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees. - Calvin Yeung 001; Rory P. Bunker; Rikuhei Umemoto; Keisuke Fujii 001 (Mach. Learn., 2024)