Luis Bote-Curiel

According to our database, Luis Bote-Curiel authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

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

Proceedings of the 31st European Signal Processing Conference, 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

Proceedings of the Computing in Cardiology, 2023

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

Proceedings of the Computing in Cardiology, 2023

2022

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

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

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

2020

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