| A machine learning framework for sport result prediction RP Bunker, F Thabtah Applied computing and informatics 15 (1), 27-33, 2019 | 438 | 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 | 140 | 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 | 22 | 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 | 18 | 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 | 14 | 2016 |
| 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 | 13 | 2023 |
| Multi-agent deep-learning based comparative analysis of team sport trajectories Z Ziyi, R Bunker, K Takeda, K Fujii IEEE Access 11, 43305-43315, 2023 | 11 | 2023 |
| Airport size and travel time T Hazledine, R Bunker Journal of Air Transport Management 32, 17-23, 2013 | 8 | 2013 |
| Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees C Yeung, R Bunker, R Umemoto, K Fujii Machine Learning 113 (10), 7541-7564, 2024 | 6 | 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 | 6 | 2024 |
| 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 …, 2024 | 5 | 2024 |
| An events and 360 data-driven approach for extracting team tactics and evaluating performance in football C Yeung, R Bunker Statsbomb Conference Proceedings, 2023 | 5 | 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 | 3 | 2023 |
| Machine learning for soccer match result prediction R Bunker, C Yeung, K Fujii Artificial Intelligence, Optimization, and Data Sciences in Sports, 7-49, 2024 | 2 | 2024 |
| 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 | 2 | 2024 |
| 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 |
| 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 |
| An expected wins approach using Fisher’s Exact test to identify the bogey effect in Sports: An application to tennis RP Bunker, C Yeung, K Fujii | | |
Keisuke FujiiNagoya Universityยืนยันอีเมลแล้วที่ i.nagoya-u.ac.jp