| Generating collective counterfactual explanations in score-based classification via mathematical optimization E Carrizosa, J Ramírez-Ayerbe, DR Morales Expert Systems with Applications 238, 121954, 2024 | 14* | 2024 |
| Mathematical optimization modelling for group counterfactual explanations E Carrizosa, J Ramírez-Ayerbe, DR Morales European Journal of Operational Research, 2024 | 6 | 2024 |
| A new model for counterfactual analysis for functional data E Carrizosa, J Ramírez-Ayerbe, D Romero Morales Advances in Data Analysis and Classification, 1-20, 2023 | 4* | 2023 |
| Counterfactual analysis and target setting in benchmarking P Bogetoft, J Ramírez-Ayerbe, DR Morales European Journal of Operational Research, 2024 | 1* | 2024 |
| One-for-many Counterfactual Explanations by Column Generation A Lodi, J Ramírez-Ayerbe arXiv preprint arXiv:2402.09473, 2024 | | 2024 |
| Machine Learning defines innovation RB Bravo, EIC Ruiz, E Carrizosa, MEW Priego, AGG Pozo, ... | | |
| 3.4 AN ARTIFICIAL INTELLIGENCE TOOL TO CALIBRATE THE COVERAGE OF INFORMATION SOURCES ON THE INTERNET N Gómez-Vargas, J Ramírez-Ayerbe from the University to Society, 48, 0 | | |
Dolores Romero MoralesProfessor of Operations Research, Copenhagen Business SchoolVerified email at cbs.dk
