‪Jesus Francisco Perez Gomez‬ - ‪Google Scholar‬

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Citations	8	8
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Co-authors

Juana Canul-Reich, Juana Canul ReichProfesor of Computer Science at UJATVerified email at ujat.mx
Betania Hernandez OcañaProfesor InvestigadorVerified email at ujat.mx
Rafael Rivera-LopezDepartamento de Sistemas y Computación, Instituto Tecnológico de Veracruz, Tecnológico Nacional deVerified email at itver.edu.mx
jose hernandez-torrucoProfesor de Ciencias de la Computación, Universidad Juárez Autónoma de Tabasco

Jesus Francisco Perez Gomez

Jesus Francisco Perez Gomez

Profesor investigador, Universidad Juarez Autonoma de Tabasco

Verified email at ujat.mx

Tecnologías de la Información Informática Inteligencia Artificial Minería de datos Minería de Opinión


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Combinación de rankings como método para la identificación de biomarcadores de vaginosis bacteriana. JF Pérez-Gómez, J Canul-Reich, E De-La-Cruz-Hernandez Res. Comput. Sci. 149 (8), 915-927, 2020	4	2020
Predictor selection for bacterial vaginosis diagnosis using decision tree and relief algorithms JF Pérez-Gómez, J Canul-Reich, J Hernández-Torruco, ... Applied Sciences 10 (9), 3291, 2020	3	2020
An Enhanced Method for Diagnosis of Bacterial Vaginosis based on Support Vector Machines with Linear Kernel. J Francisco Pérez-Gómez, J Canul-Reich, D La Cruz-Hernández International Journal of Combinatorial Optimization Problems & Informatics …, 2021	1	2021
Data Balancing for a More Accurate Model of Bacterial Vaginosis Diagnosis JF Perez-Gomez, J Canul-Reich, R Rivera-Lopez, BH Ocaña, ... Proceedings of the International Conference on Paradigms of Computing …, 2023		2023
Support Vector Machine como método para la Identificación de Atributos Relevantes de Vaginosis Bacteriana JF Pérez-Gómez, J Canul-Reich, R Rivera-López

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