Multi-Objective Evolutionary Rule-Based Classification with Categorical Data. - Fernando Jiménez; Carlos Martínez 003; Luis Miralles Pechuán; Gracia Sánchez; Guido Sciavicco (Entropy, 2018)

A methodology for evaluating multi-objective evolutionary feature selection for classification in the context of virtual screening. - Fernando Jiménez; Horacio Emilio Pérez Sánchez; José T. Palma; Gracia Sánchez; Carlos Martínez 003 (Soft Comput., 2019)

Multiobjective Evolutionary Feature Selection for Fuzzy Classification. - Fernando Jiménez; Carlos Martínez 003; Enrico Marzano; José T. Palma; Gracia Sánchez; Guido Sciavicco (IEEE Trans. Fuzzy Syst., 2019)

Fighting the disagreement in Explainable Machine Learning with consensus. - Antonio-Jesús Banegas-Luna; Carlos Martínez-Cortés; Horacio Pérez Sánchez (CoRR, 2023)

ESSENCE-Dock: A Consensus-Based Approach to Enhance Virtual Screening Enrichment in Drug Discovery. - Jochem Nelen; Miguel Carmena-Bargueño; Carlos Martínez-Cortés; Alejandro Rodríguez-Martínez; José Manuel Villalgordo-Soto; Horacio Pérez Sánchez (J. Chem. Inf. Model., 2024)

Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission. - Rafael Ruiz de San Martín; Catalina Morales-Hernández; Carmen Barberá; Carlos Martínez-Cortés; Antonio-Jesús Banegas-Luna; Francisco José Segura-Méndez; Horacio Pérez Sánchez; Isabel Morales-Moreno; Juan José Hernández Morante (Mach. Learn. Knowl. Extr., 2024)

Performance Impact of Containerized METADOCK 2 on Heterogeneous Platforms. - Antonio-Jesús Banegas-Luna; Baldomero Imbernón Tudela; Carlos Martínez-Cortés; José Maria Cecilia; Horacio Pérez Sánchez (CoRR, 2025)

WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets. - Antonio-Jesús Banegas-Luna; Horacio Emilio Pérez Sánchez; Carlos Martínez-Cortés (CoRR, 2025)