General Performance Score for classification problems IM De Diego, AR Redondo, RR Fernández, J Navarro, JM Moguerza Applied Intelligence 52 (10), 12049-12063, 2022 | 77 | 2022 |
Random forest explainability using counterfactual sets RR Fernández, IM De Diego, V Aceña, A Fernández-Isabel, JM Moguerza Information Fusion 63, 196-207, 2020 | 72 | 2020 |
Landslide susceptibility assessment using an AutoML framework AG Bruzón, P Arrogante-Funes, F Arrogante-Funes, F Martín-González, ... International journal of environmental research and public health 18 (20), 10971, 2021 | 18 | 2021 |
Combining user behavioural information at the feature level to enhance continuous authentication systems AG Martín, IM de Diego, A Fernández-Isabel, M Beltrán, RR Fernández Knowledge-Based Systems 244, 108544, 2022 | 12 | 2022 |
Explanation sets: A general framework for machine learning explainability RR Fernández, IM de Diego, JM Moguerza, F Herrera Information Sciences 617, 464-481, 2022 | 11 | 2022 |
Minimally overfitted learners: a general framework for ensemble learning V Aceña, IM de Diego, RR Fernández, JM Moguerza Knowledge-Based Systems 254, 109669, 2022 | 11 | 2022 |
Unified performance measure for binary classification problems AR Redondo, J Navarro, RR Fernández, IM de Diego, JM Moguerza, ... International conference on intelligent data engineering and automated …, 2020 | 10 | 2020 |
System for evaluating the reliability and novelty of medical scientific papers IM de Diego, C González-Fernández, A Fernández-Isabel, RR Fernández, ... Journal of Informetrics 15 (4), 101188, 2021 | 9 | 2021 |
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 | 8 | 2019 |
Experts perception-based system to detect misinformation in health websites C González-Fernández, A Fernández-Isabel, IM de Diego, RR Fernández, ... Pattern Recognition Letters 152, 333-339, 2021 | 7 | 2021 |
Triangle-based outlier detection J Navarro, IM de Diego, RR Fernández, JM Moguerza Pattern Recognition Letters 156, 152-159, 2022 | 5 | 2022 |
Bio-inspired agent-based architecture for fraud detection J Cabezas, A Fernandez-Isabel, RR Fernández, C González-Fernández, ... Proceedings of the 3rd International Conference on Information Management …, 2020 | 2 | 2020 |
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 |
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 | | 2024 |
Support subsets estimation for support vector machines retraining V Aceña, IM de Diego, RR Fernández, JM Moguerza Pattern Recognition 134, 109117, 2023 | | 2023 |
Explainable Machine Learning based on Examples IM de Diego, RR Fernández, JM Moguerza, F Ortega | | |
Expert-based Recommendation System for Explainable Machine Learning methods in Data Science projects IM de Diego, RR Fernández, A Fernádez-Isabel, F Ortega | | |