Patricia Alejandra Cuevas-Chávez

According to our database, Patricia Alejandra Cuevas-Chávez authored at least 5 papers between 2023 and 2026.

Collaborative distances:

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

2026

Hyperparameter optimization approaches to improve the performance of machine learning models for cardiovascular risk prediction.

Eduardo Sánchez-Jiménez, Patricia Alejandra Cuevas-Chávez, Yasmín Hernández, Javier Ortiz Hernández, José Alberto Hernández Aguilar, Alicia Martínez Rebollar, Hugo Estrada-Esquivel

J. Intell. Fuzzy Syst., 2026

Preprocessing of amino acid chains of antibody structure for machine learning analysis.

Manuel Erazo Valadez, María-Yasmín Hernández-Pérez, Elizabeth Ernestina Godoy Lozano, Javier Ortiz Hernández, Juan Mauricio Téllez Sosa, Juan José Flores-Sedano, Patricia Alejandra Cuevas-Chávez

Int. J. Comb. Optim. Probl. Informatics, 2026

2025

Dimensionality reduction for SARS-CoV-2 antibodies prediction.

Yasmín Hernández, Samuel Narciso, Patricia Alejandra Cuevas-Chávez, Javier Ortiz Hernández, Juan Antonio Miguel-Ruiz

Int. J. Comb. Optim. Probl. Informatics, 2025

2023

School Dropout Prediction with Class Balancing and Hyperparameter Configuration.

Patricia Alejandra Cuevas-Chávez, Samuel Narciso, Eduardo Sánchez-Jiménez, Itzel Celerino Pérez, Yasmín Hernández, Javier Ortiz Hernández

Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023

Class Balancing in a Cardiovascular Disease Domain.

Patricia Alejandra Cuevas-Chávez, Eduardo Sánchez-Jiménez, Yasmín Hernández, Javier Ortiz Hernández

Proceedings of the Mexican International Conference on Computer Science, 2023