Comparing Deep and Dendrite Neural Networks: A Case Study. - Gerardo Hernández; Erik Zamora 001; Humberto Sossa (MCPR, 2017)

Classification of the estrous cycle through texture and shape features. - Leonardo Delgado; Gerardo Hernández; Erik Zamora 001; Humberto Sossa; Aldrin Barreto-Flores; Francisco Ramos Collazo; Rosalina Reyes (SSCI, 2017)

Morphological-Linear Neural Network. - Gerardo Hernández; Erik Zamora 001; Humberto Sossa (FUZZ-IEEE, 2018)

Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. - Fernando Arce; Erik Zamora 001; Gerardo Hernández; Javier Mauricio Antelis; Humberto Sossa (MLDM (2), 2018)

Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals. - Gerardo Hernández; Luis G. Hernández; Erik Zamora 001; Humberto Sossa; Javier Mauricio Antelis; Omar Mendoza-Montoya; Luis Eduardo Falcón (MCPR, 2019)

Estrous Cycle Classification through Automatic Feature Extraction. - Gerardo Hernández; Leonardo Delgado; María del Rocío Ochoa Montiel; Erik Zamora 001; Juan Humberto Sossa Azuela; Aldrin Barreto-Flores; Francisco Ramos Collazo; Rosalina María de Lourdes Reyes Luna (Computación y Sistemas, 2019)

PD Control Compensation Based on a Cascade Neural Network Applied to a Robot Manipulator. - Luis Arturo Soriano; Erik Zamora 001; J. M. Vazquez-Nicolas; Gerardo Hernández; José Antonio Barraza-Madrigal; David Balderas Silva (Frontiers Neurorobotics, 2020)

Hybrid neural networks for big data classification. - Gerardo Hernández; Erik Zamora 001; Humberto Sossa; Germán Téllez; Federico Furlán Colón (Neurocomputing, 2020)

Dendritic neural networks in the classification of estrous cycle images. - Rocio Ochoa-Montiel; Rodrigo Francisco Román Godínez; Erik Zamora 001; Juan Humberto Sossa Azuela; Gerardo Hernández (Int. J. Comb. Optim. Probl. Informatics, 2023)