| Random forest explainability using counterfactual sets RR Fernández, IM De Diego, V Aceña, A Fernández-Isabel, JM Moguerza Information Fusion 63, 196-207, 2020 | 75 | 2020 |
| Minimally overfitted learners: a general framework for ensemble learning V Aceña, IM de Diego, RR Fernández, JM Moguerza Knowledge-Based Systems 254, 109669, 2022 | 13 | 2022 |
| Hostility measure for multi-level study of data complexity C Lancho, I Martín De Diego, M Cuesta, V Aceña, JM Moguerza Applied Intelligence 53 (7), 8073-8096, 2023 | 9 | 2023 |
| Relevance metric for counterfactuals selection in decision trees RR Fernández, IM de Diego, V Aceña, JM Moguerza, A Fernández-Isabel Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019 | 9 | 2019 |
| Health sufficiency indicators for pandemic monitoring JM Moguerza, S Perelló Oliver, I Martín de Diego, V Aceña, C Lancho, ... International Journal of Environmental Research and Public Health 18 (10), 5358, 2021 | 5 | 2021 |
| A complexity measure for binary classification problems based on lost points C Lancho, I Martín de Diego, M Cuesta, V Aceña, J M. Moguerza Intelligent Data Engineering and Automated Learning–IDEAL 2021: 22nd …, 2021 | 4 | 2021 |
| Suficiencia sanitaria y COVID-19 JM Moguerza, SP Oliver, IM de Diego, V Aceña, M Cuesta, C Lancho, ... methaodos. revista de ciencias sociales 8 (1), 140-168, 2020 | 4 | 2020 |
| Minimizar el volumen de descarte para la extracción de muestras sanguíneas en los pacientes críticos:¿ es factible? FJ Castro-Olmo, P Morales-Fernández, MJ Alcaide-Martín, ... Enfermería Intensiva 34 (1), 19-26, 2023 | 2 | 2023 |
| Real-time classification of cattle behavior using Wireless Sensor Networks J Navarro, RR Fernández, V Aceña, A Fernández-Isabel, C Lancho, ... Internet of Things 25, 101008, 2024 | 1 | 2024 |
| Support subsets estimation for support vector machines retraining V Aceña, IM de Diego, RR Fernández, JM Moguerza Pattern Recognition 134, 109117, 2023 | 1 | 2023 |
| Weighted Nearest Centroid Neighbourhood V Aceña, JM Moguerza, IM de Diego, RR Fernández Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019 | 1 | 2019 |
| Dynamic Disagreeing Neighbors: A complexity measure for instance selection V Aceña, C Lancho, IM de Diego, JM Moguerza, DJ Lee | | 2024 |
| Métodos de muestreo para la mejora de rendimiento en clasificadores de aprendizaje automático VC Aceña Gil Universidad Rey Juan Carlos, 2023 | | 2023 |
| Is minimising waste volume for drawing blood samples in critically ill patients feasible? FJ Castro-Olmo, P Morales-Fernández, MJ Alcaide-Martín, ... Enfermería Intensiva (English ed.) 34 (1), 19-26, 2023 | | 2023 |
| From Classification to Visualization: A Two Way Trip M Cuesta, I Martín de Diego, C Lancho, V Aceña, J M. Moguerza Intelligent Data Engineering and Automated Learning–IDEAL 2021: 22nd …, 2021 | | 2021 |
| Suficiencia sanitaria y COVID-19 Health sufficiency and COVID-19 JM Moguerza, SP Oliver, IM de Diego, V Aceña, M Cuesta, C Lancho, ... | | |
Isaac Martín de DiegoRey Juan Carlos University - Spain在 urjc.es 的电子邮件经过验证
