| A machine learning framework for sport result prediction RP Bunker, F Thabtah Applied computing and informatics 15 (1), 27-33, 2019 | 377 | 2019 |
| The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review R Bunker, T Susnjak Journal of Artificial Intelligence Research 73, 1285-1322, 2022 | 94 | 2022 |
| Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union R Bunker, K Fujii, H Hanada, I Takeuchi PloS one 16 (9), e0256329, 2021 | 17 | 2021 |
| Performance indicators contributing to success at the group and play-off stages of the 2019 Rugby World Cup R Bunker, K Spencer Journal of Human Sport & Exercise 17 (3), 683-698, 2022 | 13 | 2022 |
| Improving a machine learning credit scoring model by incorporating bank statement derived features RP Bunker, W Zhang, MA Naeem arXiv preprint arXiv:1611.00252, 2016 | 12 | 2016 |
| Airport size and travel time T Hazledine, R Bunker Journal of Air Transport Management 32, 17-23, 2013 | 7 | 2013 |
| A framework of interpretable match results prediction in football with FIFA ratings and team formation CCK Yeung, R Bunker, K Fujii Plos one 18 (4), e0284318, 2023 | 6 | 2023 |
| Multi-agent deep-learning based comparative analysis of team sport trajectories Z Ziyi, R Bunker, K Takeda, K Fujii IEEE Access, 2023 | 4 | 2023 |
| An events and 360 data-driven approach for extracting team tactics and evaluating performance in football C Yeung, R Bunker Statsbomb Conference Proceedings, 2023 | 2 | 2023 |
| A comparative evaluation of Elo ratings-and machine learning-based methods for tennis match result prediction R Bunker, C Yeung, T Susnjak, C Espie, K Fujii Proceedings of the Institution of Mechanical Engineers, Part P: Journal of …, 2023 | 2 | 2023 |
| Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees C Yeung, R Bunker, R Umemoto, K Fujii arXiv preprint arXiv:2309.14807, 2023 | 1 | 2023 |
| Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball R Bunker, VN Le Duy, Y Tabei, I Takeuchi, K Fujii | 1 | 2023 |
| The Bogey Phenomenon in Sport R Bunker IX Mathsport International 2022 Proceedings, 15-21, 2022 | 1 | 2022 |
| Bogey Teams in Sport RKS Hankin, RP Bunker https://www.researchgate.net/publication/320567332_Bogey_Teams_in_Sport, 2016 | 1 | 2016 |
| Unveiling Multi-Agent Strategies: A Data-Driven Approach for Extracting and Evaluating Team Tactics from Football Event and Freeze-Frame Data C Yeung, R Bunker, K Fujii Journal of Robotics and Mechatronics 36 (3), 603-617, 2024 | | 2024 |
| Machine Learning for Soccer Match Result Prediction R Bunker, C Yeung, K Fujii arXiv preprint arXiv:2403.07669, 2024 | | 2024 |
| TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos A Scott, I Uchida, N Ding, R Umemoto, R Bunker, R Kobayashi, T Koyama, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Multi-agent deep-learning based comparative analysis in basketball Z ZHANG, R Bunker, K Takeda, K Fujii 人工知能学会全国大会論文集 第 37 回 (2023), 3U1IS304-3U1IS304, 2023 | | 2023 |
| Supervised sequential pattern mining for identifying important patterns of play in rugby R Bunker, K Fujii, H Hanada, I Takeuchi Proceedings of the 8th MathSport International Conference, 18-25, 2021 | | 2021 |
Keisuke FujiiNagoya University在 i.nagoya-u.ac.jp 的电子邮件经过验证
