Deep learning to find colorectal polyps in colonoscopy: A systematic literature review. - Luisa F. Sánchez-Peralta; Luis Bote-Curiel; Artzai Picón; Francisco M. Sánchez-Margallo; José Blas Pagador (Artif. Intell. Medicine, 2020)

A Resampling Univariate Analysis Approach to Ovarian Cancer From Clinical and Genetic Data. - Luis Bote-Curiel; Sergio Ruiz-Llorente; Sergio Muñoz-Romero; Mónica Yagüe-Fernández; Arantzazu Barquín; Jesús García-Donas; José Luis Rojo-Álvarez (IEEE Access, 2021)

Text Analytics and Mixed Feature Extraction in Ovarian Cancer Clinical and Genetic Data. - Luis Bote-Curiel; Sergio Ruiz-Llorente; Sergio Muñoz-Romero; Mónica Yagüe-Fernández; Arantzazu Barquín; Jesús García-Donas; José Luis Rojo-Álvarez (IEEE Access, 2021)

Multivariate feature selection and autoencoder embeddings of ovarian cancer clinical and genetic data. - Luis Bote-Curiel; Sergio Ruiz-Llorente; Sergio Muñoz-Romero; Mónica Yagüe-Fernández; Arantzazu Barquín; Jesús García-Donas; José Luis Rojo-Álvarez (Expert Syst. Appl., 2022)

An Embedding Approach for Biomarker Identification in Hypertrophic Cardiomyopathy. - Arash Kazemi-Díaz; Luis Bote-Curiel; María Sabater-Molina; Juan-Ramón Gimeno-Blanes; Salvador Sala-Pla; Francisco Javier Gimeno-Blanes; Sergio Muñoz-Romero; José Luis Rojo-Álvarez (CinC, 2023)

High-Dimensional Feature Characterization of Single Nucleotide Variants in Hypertrophic Cardiomyopathy. - Dafne Lozano-Paredes; Luis Bote; Concha Bielza; Pedro Larrañaga; María Sabater-Molina; Juan Ramón Gimeno; Sergio Muñoz; Francisco Javier Gimeno-Blanes; José Luis Rojo-Álvarez (CinC, 2023)

Predicting Ovarian Cancer with Machine Learning: Integrating Clinical and Genetic Data. - Ismael Gómez-Talal; Arantzazu Barquín; Luis Bote-Curiel; Mónica Yagüe-Fernández; José Luis Rojo-Álvarez; Jesús García-Donas (EUSIPCO, 2023)

Understanding the disparities in Mathematics performance: An interpretability-based examination. - Ismael Gómez-Talal; Luis Bote-Curiel; José Luis Rojo-Álvarez (Eng. Appl. Artif. Intell., 2024)

Interpretable Machine Learning Models for PISA Results in Mathematics. - Ismael Gómez-Talal; Luis Bote-Curiel; José Luis Rojo-Álvarez (IEEE Access, 2025)

Towards Explainable Artificial Intelligence in Machine Learning: A study on efficient Perturbation-Based Explanations. - Ismael Gómez-Talal; Mana Azizsoltani; Luis Bote-Curiel; José Luis Rojo-Álvarez; Ashok Singh (Eng. Appl. Artif. Intell., 2025)

Corrigendum to "Understanding the disparities in Mathematics performance: An interpretability-based examination" [Eng. Appl. Artif. Intell. 133 Part B (2024) 108109]. - Ismael Gómez-Talal; Luis Bote-Curiel; José Luis Rojo-Álvarez (Eng. Appl. Artif. Intell., 2025)

Interpreting frequency evolution in ventricular fibrillation using embeddings and deep learning methods. - Dafne Lozano-Paredes; Juan José Sánchez-Muñoz; Luis Bote-Curiel; Francisco Manuel Melgarejo-Meseguer; Antonio Gil-Izquierdo; Francisco Javier Gimeno-Blanes; José Luis Rojo-Álvarez (Eng. Appl. Artif. Intell., 2025)