Weighted Nearest Centroid Neighbourhood. - Víctor Aceña; Javier M. Moguerza; Isaac Martín de Diego; Rubén R. Fernández (IDEAL (1), 2019)

Relevance Metric for Counterfactuals Selection in Decision Trees. - Rubén R. Fernández; Isaac Martín de Diego; Víctor Aceña; Javier M. Moguerza; Alberto Fernández-Isabel (IDEAL (1), 2019)

Unified Performance Measure for Binary Classification Problems. - Ana R. Redondo; Jorge Navarro 006; Rubén R. Fernández; Isaac Martín de Diego; Javier M. Moguerza; Juan José Fernández-Muñoz (IDEAL (2), 2020)

Bio-Inspired Agent-Based Architecture for Fraud Detection. - Javier Cabezas; Alberto Fernández-Isabel; Rubén R. Fernández; César González-Fernández; Adrián Alonso; Isaac Martín de Diego (IMMS, 2020)

Random forest explainability using counterfactual sets. - Rubén R. Fernández; Isaac Martín de Diego; Víctor Aceña; Alberto Fernández-Isabel; Javier M. Moguerza (Inf. Fusion, 2020)

System for evaluating the reliability and novelty of medical scientific papers. - Isaac Martín de Diego; César González-Fernández; Alberto Fernández-Isabel; Rubén R. Fernández; Javier Cabezas (J. Informetrics, 2021)

Experts perception-based system to detect misinformation in health websites. - César González-Fernández; Alberto Fernández-Isabel; Isaac Martín de Diego; Rubén R. Fernández; J. F. J. Viseu Pinheiro (Pattern Recognit. Lett., 2021)

General Performance Score for classification problems. - Isaac Martín de Diego; Ana R. Redondo; Rubén R. Fernández; Jorge Navarro 006; Javier M. Moguerza (Appl. Intell., 2022)

Explanation sets: A general framework for machine learning explainability. - Rubén R. Fernández; Isaac Martín de Diego; Javier M. Moguerza; Francisco Herrera (Inf. Sci., 2022)

Minimally overfitted learners: A general framework for ensemble learning. - Víctor Aceña; Isaac Martín de Diego; Rubén R. Fernández; Javier M. Moguerza (Knowl. Based Syst., 2022)

Combining user behavioural information at the feature level to enhance continuous authentication systems. - Alejandro G. Martín; Isaac Martín de Diego; Alberto Fernández-Isabel; Marta Beltrán; Rubén R. Fernández (Knowl. Based Syst., 2022)

Triangle-based outlier detection. - Jorge Navarro 006; Isaac Martín de Diego; Rubén R. Fernández; Javier M. Moguerza (Pattern Recognit. Lett., 2022)

Support subsets estimation for support vector machines retraining. - Víctor Aceña; Isaac Martín de Diego; Rubén R. Fernández; Javier M. Moguerza (Pattern Recognit., 2023)

Real-time classification of cattle behavior using Wireless Sensor Networks. - Jorge Navarro 006; Rubén R. Fernández; Víctor Aceña; Alberto Fernández-Isabel; Carmen Lancho; Isaac Martín de Diego (Internet Things, 2024)