| Mathematical optimization in classification and regression trees E Carrizosa, C Molero-Río, D Romero Morales TOP, 1-29, 2021 | 152 | 2021 |
| Optimal randomized classification trees R Blanquero, E Carrizosa, C Molero-Río, D Romero Morales Computers & Operations Research 132, 105281, 2021 | 73 | 2021 |
| Sparsity in optimal randomized classification trees R Blanquero, E Carrizosa, C Molero-Río, D Romero Morales European Journal of Operational Research 284 (1), 255-272, 2020 | 64 | 2020 |
| On sparse ensemble methods: an application to short-term predictions of the evolution of covid-19 S Benítez-Peña, E Carrizosa, V Guerrero, MD Jiménez-Gamero, ... European Journal of Operational Research 295 (2), 648-663, 2021 | 27 | 2021 |
| On sparse optimal regression trees R Blanquero, E Carrizosa, C Molero-Río, D Romero Morales European Journal of Operational Research 299 (3), 1045-1054, 2021 | 21 | 2021 |
| On optimal regression trees to detect critical intervals for multivariate functional data R Blanquero, E Carrizosa, C Molero-Río, D Romero Morales Computers & Operations Research 152, 106152, 2023 | 9 | 2023 |
| Optimal Risk Scores for Continuous Predictors C Molero-Río, C d'Ambrosio arXiv preprint arXiv:2502.08588, 2025 | | 2025 |
| On optimal regression trees to detect critical intervals for multivariate functional data R Blanquero Bravo, EJ Carrizosa Priego, C Molero Río, ... ScienceDirect, 2023 | | 2023 |
| Optimal randomized decision trees R Blanquero, E Carrizosa, C Molero-Río, DR Morales Welcome letter iii, 53, 2019 | | 2019 |