COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. - Siham Tabik; Anabel Gómez-Ríos; J. L. Martín-Rodríguez; I. Sevillano-García; Manuel Rey-Area; David Charte; Emilio Guirado; Juan-Luis Suárez; Julián Luengo; M. A. Valero-González; P. García-Villanova; Eulalia Olmedo-Sánchez; et al. (IEEE J. Biomed. Health Informatics, 2020)

Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study. - David Charte; Iván Sevillano-García; María Jesús Lucena-González; José Luis Martín-Rodríguez; Francisco Charte; Francisco Herrera (HAIS, 2021)

A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. - Julián Luengo; Raúl Moreno; Iván Sevillano-García; David Charte; Adrián Peláez-Vegas; Marta Fernández-Moreno; Pablo Mesejo; Francisco Herrera (Inf. Fusion, 2022)

Optimizing LIME Explanations Using REVEL Metrics. - Iván Sevillano-García; Julián Luengo; Francisco Herrera (HAIS, 2023)

Low-Impact Feature Reduction Regularization Term: How to Improve Artificial Intelligence with Explainability. - Iván Sevillano-García; Julián Luengo; Francisco Herrera (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study. - Iván Sevillano-García; Julián Luengo; Francisco Herrera (Int. J. Intell. Syst., 2023)

SHIELD: A regularization technique for eXplainable Artificial Intelligence. - Iván Sevillano-García; Julián Luengo; Francisco Herrera (CoRR, 2024)

STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability. - Iván Sevillano-García; Julián Luengo; Francisco Herrera (CoRR, 2025)

Explainability in Context: A Multilevel Framework Aligning AI Explanations with Stakeholder with LLMs. - Marilyn Bello; Rafael Bello 001; María-Matilde García; Ann Nowé; Iván Sevillano-García; Francisco Herrera (CoRR, 2025)