| Exploiting sports-betting market using machine learning O Hubáček, G Šourek, F Železný International Journal of Forecasting 35 (2), 783-796, 2019 | 100 | 2019 |
| Learning to predict soccer results from relational data with gradient boosted trees O Hubáček, G Šourek, F Železný Machine Learning 108 (1), 29-47, 2019 | 88 | 2019 |
| Deep neural networks for web page information extraction T Gogar, O Hubacek, J Sedivy IFIP International Conference on Artificial Intelligence Applications and …, 2016 | 59 | 2016 |
| Forty years of score-based soccer match outcome prediction: an experimental review O Hubáček, G Šourek, F železný IMA Journal of Management Mathematics 33 (1), 1-18, 2021 | 18 | 2021 |
| Optimal sports betting strategies in practice: an experimental review U Matej, Š Gustav, H Ondřej, Ž Filip IMA Journal of Management Mathematics 32 (4), 465-489, 2021 | 16 | 2021 |
| Deep Learning from Spatial Relations for Soccer Pass Prediction O Hubáček, G Šourek, F Železný International Workshop on Machine Learning and Data Mining for Sports …, 2018 | 16 | 2018 |
| Beating the market with a bad predictive model O Hubáček, G Šír International Journal of Forecasting 39 (2), 691-719, 2023 | 11 | 2023 |
| Score-based soccer match outcome modeling–an experimental review O Hubácek, G Sourek, F Zelezny MathSport International, 2019 | 9 | 2019 |
| Exploiting betting market inefficiencies with machine learning O Hubacek Czech Technical University, Faculty of Electrical Engineering, Master’s thesis, 2017 | 6 | 2017 |
| Lifted Relational Team Embeddings for Predictive Sports Analytics. O Hubácek, G Sourek, F Zelezný ILP Up-and-Coming/Short Papers, 84-91, 2018 | 2 | 2018 |
| Competing in daily fantasy sports using generative models D Mlčoch, O Hubáček International Transactions in Operational Research 31 (3), 1515-1532, 2024 | 1 | 2024 |
| Sports betting strategies: an experimental review M Uhrın, G Šourek, O Hubácek, F Zelezný | 1 | 2019 |
Filip ZeleznyCzech Technical University in PragueGeverifieerd e-mailadres voor fel.cvut.cz