| Beyond action valuation: A deep reinforcement learning framework for optimizing player decisions in soccer P Rahimian, J Van Haaren, T Abzhanova, L Toka MIT Sloan Sports Analytics Conference, 2022 | 9 | 2022 |
| Towards optimized actions in critical situations of soccer games with deep reinforcement learning P Rahimian, A Oroojlooy, L Toka 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 8 | 2021 |
| Optical tracking in team sports: A survey on player and ball tracking methods in soccer and other team sports P Rahimian, L Toka Journal of Quantitative Analysis in Sports 18 (1), 35-57, 2022 | 7 | 2022 |
| Inferring the strategy of offensive and defensive play in soccer with inverse reinforcement learning P Rahimian, L Toka International Workshop on Machine Learning and Data Mining for Sports …, 2021 | 7 | 2021 |
| A data-driven approach to assist offensive and defensive players in optimal decision making P Rahimian, L Toka International Journal of Sports Science & Coaching 19 (1), 245-256, 2024 | 4 | 2024 |
| A novel data-driven and feature-based forecasting framework for wastewater optimization of network pressure management system P Rahimian, S Behnam International Journal of Industrial Engineering & Production Research 31 (3 …, 2020 | 4 | 2020 |
| Let’s penetrate the defense: a machine learning model for prediction and valuation of penetrative passes P Rahimian, DG da Silva Guerra Gomes, F Berkovics, L Toka International Workshop on Machine Learning and Data Mining for Sports …, 2022 | 3 | 2022 |
| Towards maximizing expected possession outcome in soccer P Rahimian, J Van Haaren, L Toka International Journal of Sports Science & Coaching 19 (1), 230-244, 2024 | 1 | 2024 |
| Pass Receiver and Outcome Prediction in Soccer Using Temporal Graph Networks P Rahimian, H Kim, M Schmid, L Toka International Workshop on Machine Learning and Data Mining for Sports …, 2023 | 1 | 2023 |
| Deep Learning Techniques for the Analysis of Soccer Matches P Rahimian | | |
