Erik Zamora

According to our database, Erik Zamora authored at least 33 papers between 2014 and 2024.

Collaborative distances:

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

2024

Multiclass Classification of Visual Electroencephalogram Based on Channel Selection, Minimum Norm Estimation Algorithm, and Deep Network Architectures.

Tat'y Mwata-Velu, Erik Zamora, Juan Irving Vasquez-Gomez, José Ruiz-Pinales, Humberto Sossa

Sensors, June, 2024

Policy Gradient MaxSAT Solver.

Omar Gutiérrez-De-La-Paz, Ricardo Menchaca-Mendez, Erik Zamora Gómez, Uriel Corona Bermúdez, Rolando Menchaca-Méndez, Bruno Gutiérrez-De-La-Paz

Computación y Sistemas (CyS), 2024

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

2022

Spiral Trajectories for Building Inspection with Quadrotors.

Juan Irving Vasquez-Gomez, David E. Troncoso Romero, Mayra Antonio-Cruz, Erik Zamora

CoRR, 2022

2021

A Comparative Study of Dendrite Neural Networks for Pattern Classification.

Rodrigo Francisco Román Godínez, Erik Zamora, Humberto Sossa

Int. J. Comb. Optim. Probl. Informatics, 2021

RiskIPN: Pavement Risk Database for Segmentation with Deep Learning.

Uriel Escalona, Erik Zamora, Humberto Sossa

Proceedings of the Advances in Computational Intelligence, 2021

A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization.

Carlos Emiliano Solórzano-Espíndola, Humberto Sossa, Erik Zamora

Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

Graph Representation for Learning the Traveling Salesman Problem.

Omar Gutiérrez, Erik Zamora, Ricardo Menchaca

Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

Multi-subject classification of Motor Imagery EEG signals using transfer learning in neural networks.

Carlos Emiliano Solórzano-Espíndola, Erik Zamora, Humberto Sossa

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Robust Place Recognition using Convolutional Neural Networks.

Omar Edgardo Lugo Sánchez, Juan Humberto Sossa Azuela, Erik Zamora Gómez

Computación y Sistemas, 2020

Vision-Based Blind Spot Warning System by Deep Neural Networks.

Víctor Rubén Virgilio-González, Humberto Sossa, Erik Zamora

Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

2019

Dendrite ellipsoidal neurons based on k-means optimization.

Fernando Arce, Erik Zamora, Carolina Fócil Arias, Humberto Sossa

Evol. Syst., 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

Fully Convolutional Networks for Automatic Pavement Crack Segmentation.

Uriel González Escalona, Fernando Arce, Erik Zamora, Juan Humberto Sossa Azuela

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

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification.

Fernando Arce, Omar Mendoza-Montoya, Erik Zamora, Javier Mauricio Antelis, Humberto Sossa, Jessica Cantillo-Negrete, Ruben I. Carino-Escobar, Luis G. Hernández, Luis Eduardo Falcón

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

2018

Differential evolution training algorithm for dendrite morphological neural networks.

Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón

Appl. Soft Comput., 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

Supervised and Unsupervised Neural Networks: Experimental Study for Anomaly Detection in Electrical Consumption.

Joel García, Erik Zamora, Humberto Sossa

Proceedings of the Advances in Soft Computing, 2018

Sliding Mode SLAM for Robust Simultaneous Localization and Mapping.

Salvador Ortiz, Wen Yu, Erik Zamora

Proceedings of the IECON 2018, 2018

Sliding mode three-dimension SLAM with application to quadrotor helicopter.

Salvador Ortiz-Santos, Wen Yu, Erik Zamora

Proceedings of the 15th International Conference on Electrical Engineering, 2018

Morphological-Linear Neural Network.

Gerardo Hernández, Erik Zamora, Humberto Sossa

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

2017

Dendrite morphological neurons trained by stochastic gradient descent.

Erik Zamora, Humberto Sossa

Neurocomputing, 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

Dendrite Ellipsoidal Neuron.

Fernando Arce, Erik Zamora, Humberto Sossa

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments.

Erik Zamora, Wen Yu

Cybern. Syst., 2016

Ellipsoid SLAM: a novel set membership method for simultaneous localization and mapping.

Wen Yu, Erik Zamora, Alberto Soria

Auton. Robots, 2016

Dendrite Morphological Neural Networks trained by Differential Evolution.

Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2014

Ellipsoid method for Simultaneous Localization and Mapping of mobile robot.

Erik Zamora, Wen Yu

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Mobile robot navigation in dynamic and unknown environments.

Erik Zamora, Wen Yu

Proceedings of the 2014 IEEE Conference on Control Applications, 2014