| Effective injury forecasting in soccer with GPS training data and machine learning A Rossi, L Pappalardo, P Cintia, FM Iaia, J Fernández, D Medina PloS one 13 (7), e0201264, 2018 | 268 | 2018 |
| Wide Open Spaces: A statistical technique for measuring space creation in professional soccer J Fernandez, L Bornn Sloan sports analytics conference 2018, 2018 | 187 | 2018 |
| Decomposing the immeasurable sport: A deep learning expected possession value framework for soccer J Fernández, L Bornn, D Cervone 13th MIT Sloan Sports Analytics Conference, 2019 | 161 | 2019 |
| A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions J Fernández, L Bornn, D Cervone Machine Learning 110 (6), 1389-1427, 2021 | 63 | 2021 |
| Soccer analytics: Unravelling the complexity of “the beautiful game” L Bornn, D Cervone, J Fernandez Significance 15 (3), 26-29, 2018 | 42 | 2018 |
| Using player's body-orientation to model pass feasibility in soccer A Arbues-Sanguesa, A Martín, J Fernández, C Ballester, G Haro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 39 | 2020 |
| Soccermap: A deep learning architecture for visually-interpretable analysis in soccer J Fernández, L Bornn Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 38 | 2021 |
| The right place at the right time: Advanced off-ball metrics for exploiting an opponent’s spatial weaknesses in soccer S Llana, P Madrero, J Fernández, F Barcelona Proceedings of the 14th MIT Sloan Sports Analytics Conference, 2020 | 22 | 2020 |
| Effective injury prediction in professional soccer with GPS data and machine learning A Rossi, L Pappalardo, P Cintia, F Iaia, J Fernández, D Medina stat 1050, 23, 2017 | 22 | 2017 |
| Decision Support System Applications for Scheduling in Professional Team Sport. The Team's Perspective X Schelling, J Fernández, P Ward, J Fernández, S Robertson Frontiers in Sports and Active Living 3, 678489, 2021 | 17 | 2021 |
| From Training to Match Performance: A Predictive and Explanatory Study on Novel Tracking Data J Fernández, D Medina, A Gómez, M Arias, R Gavaldà 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW) 1 …, 2016 | 13 | 2016 |
| Always look on the bright side of the field: Merging pose and contextual data to estimate orientation of soccer players A Arbués-Sangüesa, A Martín, J Fernández, C Rodríguez, G Haro, ... 2020 IEEE International Conference on Image Processing (ICIP), 1506-1510, 2020 | 8 | 2020 |
| Is it worth the effort? Understanding and contextualizing physical metrics in soccer S Llana, B Burriel, P Madrero, J Fernández arXiv preprint arXiv:2204.02313, 2022 | 4 | 2022 |
| Does training affect match performance? A study using data mining and tracking devices J Fernández, D Medina Leal, A Gómez, M Arias Vicente, ... Machine Learning and Data Mining for Sports Analytics: ECML/PKDD 2016 …, 2016 | 4 | 2016 |
| Image processing to detect worms J Fernández Uppsala University, 2010 | 4 | 2010 |
| From training to match performance: an exploratory and predictive analysis on FC Barcelona GPS data J Fernández Universitat Politécnica de Catalunya, 2016 | 2 | 2016 |
Marta AriasAssociate Professor, Universitat Politècnica de CatalunyaAdresse e-mail validée de lsi.upc.edu
