Gerardo Hernández

According to our database, Gerardo Hernández authored at least 9 papers between 2017 and 2023.

Collaborative distances:

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

2023

Dendritic neural networks in the classification of estrous cycle images.

Rocio Ochoa-Montiel, Rodrigo Francisco Román Godínez, Erik Zamora, Juan Humberto Sossa Azuela, Gerardo Hernández

Int. J. Comb. Optim. Probl. Informatics, 2023

2020

Hybrid neural networks for big data classification.

Gerardo Hernández, Erik Zamora, Humberto Sossa, Germán Téllez, Federico Furlán Colón

Neurocomputing, 2020

PD Control Compensation Based on a Cascade Neural Network Applied to a Robot Manipulator.

Luis Arturo Soriano, Erik Zamora, J. M. Vazquez-Nicolas, Gerardo Hernández, José Antonio Barraza-Madrigal, David Balderas Silva

Frontiers Neurorobotics, 2020

2019

Estrous Cycle Classification through Automatic Feature Extraction.

Gerardo Hernández, Leonardo Delgado, María del Rocío Ochoa Montiel, Erik Zamora, Juan Humberto Sossa Azuela, Aldrin Barreto-Flores, Francisco Ramos Collazo, Rosalina María de Lourdes Reyes Luna

Computación y Sistemas, 2019

Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals.

Gerardo Hernández, Luis G. Hernández, Erik Zamora, Humberto Sossa, Javier Mauricio Antelis, Omar Mendoza-Montoya, Luis Eduardo Falcón

Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

2018

Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons.

Fernando Arce, Erik Zamora, Gerardo Hernández, Javier Mauricio Antelis, Humberto Sossa

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Morphological-Linear Neural Network.

Gerardo Hernández, Erik Zamora, Humberto Sossa

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Classification of the estrous cycle through texture and shape features.

Leonardo Delgado, Gerardo Hernández, Erik Zamora, Humberto Sossa, Aldrin Barreto-Flores, Francisco Ramos Collazo, Rosalina Reyes

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Comparing Deep and Dendrite Neural Networks: A Case Study.

Gerardo Hernández, Erik Zamora, Humberto Sossa

Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017