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2020 – today
- 2024
[j5]Ismael Gómez-Talal
, Luis Bote-Curiel, José Luis Rojo-Álvarez:
Understanding the disparities in Mathematics performance: An interpretability-based examination. Eng. Appl. Artif. Intell. 133: 108109 (2024)- 2023
- [c3]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:
An Embedding Approach for Biomarker Identification in Hypertrophic Cardiomyopathy. CinC 2023: 1-4 - [c2]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:
High-Dimensional Feature Characterization of Single Nucleotide Variants in Hypertrophic Cardiomyopathy. CinC 2023: 1-4 - [c1]Ismael Gómez-Talal, Arantzazu Barquín, Luis Bote-Curiel, Mónica Yagüe-Fernández, José Luis Rojo-Álvarez, Jesús García-Donas:
Predicting Ovarian Cancer with Machine Learning: Integrating Clinical and Genetic Data. EUSIPCO 2023: 1160-1164 - 2022
- [j4]Luis Bote-Curiel, Sergio Ruiz-Llorente, Sergio Muñoz-Romero, Mónica Yagüe-Fernández, Arantzazu Barquín, Jesús García-Donas, José Luis Rojo-Álvarez:
Multivariate feature selection and autoencoder embeddings of ovarian cancer clinical and genetic data. Expert Syst. Appl. 206: 117865 (2022) - 2021
- [j3]Luis Bote-Curiel, Sergio Ruiz-Llorente, Sergio Muñoz-Romero, Mónica Yagüe-Fernández, Arantzazu Barquín, Jesús García-Donas, José Luis Rojo-Álvarez:
A Resampling Univariate Analysis Approach to Ovarian Cancer From Clinical and Genetic Data. IEEE Access 9: 25959-25972 (2021) - [j2]Luis Bote-Curiel, Sergio Ruiz-Llorente, Sergio Muñoz-Romero, Mónica Yagüe-Fernández, Arantzazu Barquín, Jesús García-Donas, José Luis Rojo-Álvarez:
Text Analytics and Mixed Feature Extraction in Ovarian Cancer Clinical and Genetic Data. IEEE Access 9: 58034-58051 (2021) - 2020
- [j1]Luisa F. Sánchez-Peralta, Luis Bote-Curiel, Artzai Picón, Francisco M. Sánchez-Margallo, José Blas Pagador:
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review. Artif. Intell. Medicine 108: 101923 (2020)
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