Feature Selection for Better Identification of Subtypes of Guillain-Barré Syndrome. - José Hernández-Torruco; Juana Canul-Reich; Juan Frausto Solís; Juan José Méndez-Castillo (Comput. Math. Methods Medicine, 2014)

Towards a predictive model for Guillain-Barré syndrome. - José Hernández-Torruco; Juana Canul-Reich; Juan Frausto Solís; Juan José Méndez-Castillo (EMBC, 2015)

A Kernel-Based Predictive Model for Guillain-Barré Syndrome. - José Hernández-Torruco; Juana Canul-Reich; Juan Frausto Solís; Juan José Méndez-Castillo (MICAI (2), 2015)

Finding relevant features for identifying subtypes of Guillain-Barré Syndrome using Quenching Simulated Annealing and Partitions Around Medoids. - Juana Canul-Reich; José Hernández-Torruco; Juan Frausto Solís; Juan José Méndez-Castillo (Int. J. Comb. Optim. Probl. Informatics, 2015)

Combination of Trees for Guillain-Barré Subtype Classification. - Juana Canul-Reich; Juan Frausto Solís; José Hernández-Torruco; Juan José Méndez-Castillo (DCAI, 2016)

Predicting the Need of Mechanical Ventilation in Guillain-Barré Patients Using Machine Learning Algorithms with Relevant Features. - José Hernández-Torruco; Juana Canul-Reich; Oscar Chávez-Bosquez (MICAI (2), 2016)

Rule based classifiers for diagnosis of mechanical ventilation in Guillain-Barré Syndrome. - José Hernández-Torruco; Juana Canul-Reich; David Lázaro Román (DCAI, 2017)

A Predictive Model for Guillain-Barré Syndrome Based on Single Learning Algorithms. - Juana Canul-Reich; Juan Frausto Solís; José Hernández-Torruco (Comput. Math. Methods Medicine, 2017)

Bacterial Foraging Optimization Algorithm for Menu Planning. - Betania Hernández-Ocaña; Oscar Chávez-Bosquez; José Hernández-Torruco; Juana Canul-Reich; Maria del Pilar Pozos Parra (IEEE Access, 2018)

A Predictive Model for Guillain-Barré Syndrome Based on Ensemble Methods. - Juana Canul-Reich; José Hernández-Torruco; Oscar Chávez-Bosquez; Betania Hernández-Ocaña (Comput. Intell. Neurosci., 2018)

Algoritmo basado en el forrajeo de bacterias para la optimización de un smart grid. - Betania Hernández-Ocaña; Oscar Chávez-Bosquez; José Hernández-Torruco; Edgar Alfredo Portilla-Flores; Luis G. Montané-Jiménez; Margarita I. Hernández-Hernández; Jorge J. Brito-Ríos (Res. Comput. Sci., 2018)

Balanceo de datos del Síndrome de Guillain-Barré utilizando SMOTE para la clasificación de subtipos. - Manuel Torres-Vásquez; José Hernández-Torruco; Betania Hernández-Ocaña; Oscar Chávez-Bosquez (Res. Comput. Sci., 2019)

Clasificadores basados en reglas y selección de atributos para el diagnóstico clínico de subtipos del Síndrome de Guillain-Barré. - Daniel Alarcón-Narváez; Jerusa Marchi; José Hernández-Torruco; Oscar Chávez-Bosquez; Betania Hernández-Ocaña (Res. Comput. Sci., 2020)

Rendimiento de los métodos de sobremuestreo para los modelos predictivos del Síndrome de Guillain-Barré. - Manuel Torres-Vásquez; José Hernández-Torruco; Betania Hernández-Ocaña; Oscar Chávez-Bosquez (Res. Comput. Sci., 2020)

Prediction of Metabolic Syndrome in a Mexican Population Applying Machine Learning Algorithms. - Guadalupe Obdulia Gutiérrez-Esparza; Oscar Infante Vázquez; Maite Vallejo; José Hernández-Torruco (Symmetry, 2020)

Classification of Guillain-Barré Syndrome Subtypes Using Sampling Techniques with Binary Approach. - Manuel Torres-Vásquez; Oscar Chávez-Bosquez; Betania Hernández-Ocaña; José Hernández-Torruco (Symmetry, 2020)

Rendimiento del algoritmo basado en el forrajeo de bacterias con distribución uniforme, gaussiana y exponencial. - Margarita I. Hernández-Hernández; Betania Hernández-Ocaña; José Adán Hernández-Nolasco; José Hernández-Torruco (Res. Comput. Sci., 2021)

Comparative Study of Optimizers in the Training of a Convolutional Neural Network in a Binary Recognition Model. - Marco López-Sánchez; José Hernández-Torruco; Betania Hernández-Ocaña; Oscar Chávez-Bosquez (Res. Comput. Sci., 2021)

Bacterial Foraging Based Algorithm Front-end to Solve Global Optimization Problems. - Betania Hernández-Ocaña; Adrian García-López; José Hernández-Torruco; Oscar Chávez-Bosquez (Intell. Autom. Soft Comput., 2022)

Comparative Analysis of the Bacterial Foraging Algorithm and Differential Evolution in Global Optimization Problems. - Adrián García-López; Oscar Chávez-Bosquez; José Hernández-Torruco; Betania Hernández-Ocaña (Computación y Sistemas (CyS), 2023)

Supervised Deep Learning Techniques for Image Description: A Systematic Review. - Marco López-Sánchez; Betania Hernández-Ocaña; Oscar Chávez-Bosquez; José Hernández-Torruco (Entropy, 2023)

JMetaBFOP: A tool for solving global optimization problems. - Adrián García-López; Oscar Chávez-Bosquez; José Hernández-Torruco; Betania Hernández-Ocaña (SoftwareX, 2023)

Detection of cardiac arrhythmias in a 12-lead ECG dataset of more than 10,000 patients: a preliminary study using clustering algorithms. - Jessica Alvariño Durán; José Hernández-Torruco; Oscar Chávez-Bosquez; Betania Hernández-Ocaña (Int. J. Comb. Optim. Probl. Informatics, 2025)