Karen E. Villagrana-Bañuelos

According to our database, Karen E. Villagrana-Bañuelos authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Implementation of Boruta for Feature Selection in the Detection of Schizophrenia Using Spectral and Connectivity EEG Features: A Machine Learning Approach.

L. Rafael Salas-Rodriguez, Vanessa Alcalá-Rmz, Karen E. Villagrana-Bañuelos, Juvenal Villanueva-Maldonado, Manuel A. Soto Murillo

Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2025), 2025

Towards Personalized Diagnosis of Social Anxiety Disorder: Interpretable Machine Learning with SHAP.

Vanessa Alcalá-Rmz, L. Rafael Salas-Rodriguez, Carlos Eric Galván-Tejada, Manuel A. Soto Murillo, Juvenal Villanueva-Maldonado, Karen E. Villagrana-Bañuelos

Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2025), 2025

2022

Comparison of Three Supervised Machine Learning Classification Methods for the Diagnosis of PD.

Ricardo Villagrana-Bañuelos, Karen E. Villagrana-Bañuelos, Manuel A. Soto Murillo, Carlos Eric Galván-Tejada, José María Celaya-Padilla, Jorge Issac Galván-Tejada

Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

Towards Esophagitis and Barret's Esophagus Endoscopic Images Classification: An Approach with Deep Learning Techniques.

Karen E. Villagrana-Bañuelos, Vanessa Alcalá-Rmz, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos Eric Galván-Tejada

Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

Convolutional Neural Network for Monkeypox Detection.

Vanessa Alcalá-Rmz, Karen E. Villagrana-Bañuelos, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos Eric Galván-Tejada

Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

2021

Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest.

Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chávez-Lamas, Karen E. Villagrana-Bañuelos, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales

Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

2020

Evaluación de cuatro clasificadores para el reconocimiento de síndrome de muerte súbita del lactante utilizando ácidos grasos de cadena corta como fuente de información.

Karen E. Villagrana-Bañuelos, Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada

Res. Comput. Sci., 2020

Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach.

Karen E. Villagrana-Bañuelos, Laura A. Zanella-Calzada, Irma E. Gonzalez-Curiel, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada

Proceedings of the Advances in Soft Computing, 2020