José Hernández-Torruco

SoftwareX, July, 2023

Supervised Deep Learning Techniques for Image Description: A Systematic Review.

[BibT_eX]

[DOI]

Marco López-Sánchez

Entropy, April, 2023

Comparative Analysis of the Bacterial Foraging Algorithm and Differential Evolution in Global Optimization Problems.

[BibT_eX]

[DOI]

Adrián García-López

Computación y Sistemas (CyS), 2023

2021

Comparative Study of Optimizers in the Training of a Convolutional Neural Network in a Binary Recognition Model.

[BibT_eX]

[DOI]

Marco López-Sánchez

Res. Comput. Sci., 2021

2020

Classification of Guillain-Barré Syndrome Subtypes Using Sampling Techniques with Binary Approach.

[BibT_eX]

[DOI]

Manuel Torres-Vásquez

Guadalupe Obdulia Gutiérrez-Esparza

Symmetry, 2020

Prediction of Metabolic Syndrome in a Mexican Population Applying Machine Learning Algorithms.

[BibT_eX]

[DOI]

Oscar Infante Vázquez

Maite Vallejo

Symmetry, 2020

Rendimiento de los métodos de sobremuestreo para los modelos predictivos del Síndrome de Guillain-Barré.

[BibT_eX]

[DOI]

Manuel Torres-Vásquez

Res. Comput. Sci., 2020

Clasificadores basados en reglas y selección de atributos para el diagnóstico clínico de subtipos del Síndrome de Guillain-Barré.

[BibT_eX]

[DOI]

Daniel Alarcón-Narváez

Jerusa Marchi

Res. Comput. Sci., 2020

2019

Balanceo de datos del Síndrome de Guillain-Barré utilizando SMOTE para la clasificación de subtipos.

[BibT_eX]

[DOI]

Manuel Torres-Vásquez

Res. Comput. Sci., 2019

2018

Algoritmo basado en el forrajeo de bacterias para la optimización de un smart grid.

[BibT_eX]

[DOI]

Edgar Alfredo Portilla-Flores

Luis G. Montané-Jiménez

Margarita I. Hernández-Hernández

Jorge J. Brito-Ríos

Res. Comput. Sci., 2018

A Predictive Model for Guillain-Barré Syndrome Based on Ensemble Methods.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2018

Bacterial Foraging Optimization Algorithm for Menu Planning.

[BibT_eX]

[DOI]

Maria del Pilar Pozos Parra

IEEE Access, 2018

2017

A Predictive Model for Guillain-Barré Syndrome Based on Single Learning Algorithms.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2017

Rule based classifiers for diagnosis of mechanical ventilation in Guillain-Barré Syndrome.

[BibT_eX]

[DOI]

David Lázaro Román

Proceedings of the Distributed Computing and Artificial Intelligence, 2017

2016

Predicting the Need of Mechanical Ventilation in Guillain-Barré Patients Using Machine Learning Algorithms with Relevant Features.

[BibT_eX]

[DOI]

Proceedings of the Advances in Soft Computing, 2016

Combination of Trees for Guillain-Barré Subtype Classification.

[BibT_eX]

[DOI]

Proceedings of the Distributed Computing and Artificial Intelligence, 2016

2015

Finding relevant features for identifying subtypes of Guillain-Barré Syndrome using Quenching Simulated Annealing and Partitions Around Medoids.

[BibT_eX]

[DOI]

Int. J. Comb. Optim. Probl. Informatics, 2015

A Kernel-Based Predictive Model for Guillain-Barré Syndrome.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

Towards a predictive model for Guillain-Barré syndrome.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Feature Selection for Better Identification of Subtypes of Guillain-Barré Syndrome.

[BibT_eX]

[DOI]