Erik Zamora

33 papers B 3C 2Journal 13Unranked 15
YearRankTypeTitle / Venue / Authors
2024 J jnl
Multiclass Classification of Visual Electroencephalogram Based on Channel Selection, Minimum Norm Estimation Algorithm, and Deep Network Architectures.
Sensors
Tat'y Mwata-Velu, Erik Zamora, Juan Irving Vasquez-Gomez, José Ruiz-Pinales, Humberto Sossa
2023 J jnl
Dendritic neural networks in the classification of estrous cycle images.
Int. J. Comb. Optim. Probl. Informatics
Rocio Ochoa-Montiel, Rodrigo Francisco Román Godínez, Erik Zamora, Juan Humberto Sossa Azuela, Gerardo Hernández
2022 J jnl
Spiral Trajectories for Building Inspection with Quadrotors.
CoRR
Juan Irving Vasquez-Gomez, David E. Troncoso Romero, Mayra Antonio-Cruz, Erik Zamora
2021 J jnl
A Comparative Study of Dendrite Neural Networks for Pattern Classification.
Int. J. Comb. Optim. Probl. Informatics
Rodrigo Francisco Román Godínez, Erik Zamora, Humberto Sossa
2021 — conf
A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization.
MCPR
Carlos Emiliano Solórzano-Espíndola, Humberto Sossa, Erik Zamora
2021 — conf
Graph Representation for Learning the Traveling Salesman Problem.
MCPR
Omar Gutiérrez, Erik Zamora, Ricardo Menchaca
2021 — conf
Multi-subject classification of Motor Imagery EEG signals using transfer learning in neural networks.
EMBC
Carlos Emiliano Solórzano-Espíndola, Erik Zamora, Humberto Sossa
2021 — conf
RiskIPN: Pavement Risk Database for Segmentation with Deep Learning.
MICAI (1)
Uriel Escalona, Erik Zamora, Humberto Sossa
2020 J jnl
Hybrid neural networks for big data classification.
Neurocomputing
Gerardo Hernández, Erik Zamora, Humberto Sossa, Germán Téllez-Castillo, Federico Furlán Colón
2020 J jnl
PD Control Compensation Based on a Cascade Neural Network Applied to a Robot Manipulator.
Frontiers Neurorobotics
Luis Arturo Soriano, Erik Zamora, J. M. Vazquez-Nicolas, Gerardo Hernández, José Antonio Barraza-Madrigal, David Balderas Silva
2020 — conf
Vision-Based Blind Spot Warning System by Deep Neural Networks.
MCPR
Víctor Rubén Virgilio-González, Humberto Sossa, Erik Zamora
2019 — conf
Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification.
MCPR
Fernando Arce, Omar Mendoza-Montoya, Erik Zamora, Javier Mauricio Antelis, Humberto Sossa, Jessica Cantillo-Negrete, Rubén Isaac Cariño-Escobar, Luis G. Hernández, Luis Eduardo Falcón
2019 J jnl
Dendrite ellipsoidal neurons based on k-means optimization.
Evol. Syst.
Fernando Arce, Erik Zamora, Carolina Fócil Arias, Humberto Sossa
2019 J jnl
Estrous Cycle Classification through Automatic Feature Extraction.
Computación y Sistemas
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
2019 J jnl
Fully Convolutional Networks for Automatic Pavement Crack Segmentation.
Computación y Sistemas
Uriel González Escalona, Fernando Arce, Erik Zamora, Juan Humberto Sossa Azuela
2019 — conf
Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals.
MCPR
Gerardo Hernández, Luis G. Hernández, Erik Zamora, Humberto Sossa, Javier Mauricio Antelis, Omar Mendoza-Montoya, Luis Eduardo Falcón
2018 J jnl
Differential evolution training algorithm for dendrite morphological neural networks.
Appl. Soft Comput.
Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón
2018 B conf
Morphological-Linear Neural Network.
FUZZ-IEEE
Gerardo Hernández, Erik Zamora, Humberto Sossa
2018 — conf
Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons.
MLDM (2)
Fernando Arce, Erik Zamora, Gerardo Hernández, Javier Mauricio Antelis, Humberto Sossa
2018 C conf
Sliding Mode SLAM for Robust Simultaneous Localization and Mapping.
IECON
Salvador Ortiz, Wen Yu, Erik Zamora
2018 — conf
Sliding mode three-dimension SLAM with application to quadrotor helicopter.
CCE
Salvador Ortiz-Santos, Wen Yu, Erik Zamora
2018 — conf
Supervised and Unsupervised Neural Networks: Experimental Study for Anomaly Detection in Electrical Consumption.
MICAI (1)
Joel García, Erik Zamora, Humberto Sossa
2017 — conf
Classification of the estrous cycle through texture and shape features.
SSCI
Leonardo Delgado, Gerardo Hernández, Erik Zamora, Humberto Sossa, Aldrin Barreto-Flores, Francisco Ramos Collazo, Rosalina Reyes
2017 — conf
Comparing Deep and Dendrite Neural Networks: A Case Study.
MCPR
Gerardo Hernández, Erik Zamora, Humberto Sossa
2017 B conf
Dendrite Ellipsoidal Neuron.
IJCNN
Fernando Arce, Erik Zamora, Humberto Sossa
2017 J jnl
Dendrite morphological neurons trained by stochastic gradient descent.
Neurocomputing
Erik Zamora, Humberto Sossa
2016 — conf
Dendrite Morphological Neural Networks trained by Differential Evolution.
SSCI
Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón
2016 — conf
Dendrite morphological neurons trained by stochastic gradient descent.
SSCI
Erik Zamora, Humberto Sossa
2016 J jnl
Ellipsoid SLAM: a novel set membership method for simultaneous localization and mapping.
Auton. Robots
Wen Yu, Erik Zamora, Alberto Soria
2016 J jnl
Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments.
Cybern. Syst.
Erik Zamora, Wen Yu
2014 — conf
Ellipsoid method for Simultaneous Localization and Mapping of mobile robot.
CDC
Erik Zamora, Wen Yu
2014 C conf
Mobile robot navigation in dynamic and unknown environments.
CCA
Erik Zamora, Wen Yu
2014 B conf
Novel autonomous navigation algorithms in dynamic and unknown environments.
SMC
Erik Zamora, Wen Yu