Erik Zamora

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 28

Top Topics

Unknown Environments

Stochastic Gradient Descent

Top Venues

Publications

Juan Irving Vasquez-Gomez, David E. Troncoso Romero, Mayra Antonio-Cruz, Erik Zamora
Spiral Trajectories for Building Inspection with Quadrotors. CoRR (2022)
Omar Gutiérrez, Erik Zamora, Ricardo Menchaca
Graph Representation for Learning the Traveling Salesman Problem. MCPR (2021)
Carlos Emiliano Solórzano-Espíndola, Humberto Sossa, Erik Zamora
A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization. MCPR (2021)
Uriel Escalona, Erik Zamora, Humberto Sossa
RiskIPN: Pavement Risk Database for Segmentation with Deep Learning. MICAI (1) (2021)
Carlos Emiliano Solórzano-Espíndola, Erik Zamora, Humberto Sossa
Multi-subject classification of Motor Imagery EEG signals using transfer learning in neural networks. EMBC (2021)
Rodrigo Francisco Román Godínez, Erik Zamora, Humberto Sossa
A Comparative Study of Dendrite Neural Networks for Pattern Classification. Int. J. Comb. Optim. Probl. Informatics 12 (3) (2021)
Gerardo Hernández, Erik Zamora, Humberto Sossa, Germán Téllez, Federico Furlán Colón
Hybrid neural networks for big data classification. Neurocomputing 390 (2020)
Víctor Rubén Virgilio-González, Humberto Sossa, Erik Zamora
Vision-Based Blind Spot Warning System by Deep Neural Networks. MCPR (2020)
Luis Arturo Soriano, Erik Zamora, J. M. Vazquez-Nicolas, Gerardo Hernández, José Antonio Barraza-Madrigal, David Balderas Silva
PD Control Compensation Based on a Cascade Neural Network Applied to a Robot Manipulator. Frontiers Neurorobotics 14 (2020)
Gerardo Hernández, Luis G. Hernández, Erik Zamora, Humberto Sossa, Javier Mauricio Antelis, Omar Mendoza-Montoya, Luis Eduardo Falcón
Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals. MCPR (2019)
Fernando Arce, Erik Zamora, Carolina Fócil Arias, Humberto Sossa
Dendrite ellipsoidal neurons based on k-means optimization. Evol. Syst. 10 (3) (2019)
Uriel González Escalona, Fernando Arce, Erik Zamora, Juan Humberto Sossa Azuela
Fully Convolutional Networks for Automatic Pavement Crack Segmentation. Computación y Sistemas 23 (2) (2019)
Gerardo Hernández, Leonardo Delgado, María del Rocío Ochoa Montiel, Erik Zamora, Juan Humberto Sossa Azuela, Aldrin Barreto, Francisco Ramos Collazo, Rosalina María de Lourdes Reyes Luna
Estrous Cycle Classification through Automatic Feature Extraction. Computación y Sistemas 23 (4) (2019)
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
Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification. MCPR (2019)
Joel García, Erik Zamora, Humberto Sossa
Supervised and Unsupervised Neural Networks: Experimental Study for Anomaly Detection in Electrical Consumption. MICAI (1) (2018)
Gerardo Hernández, Erik Zamora, Humberto Sossa
Morphological-Linear Neural Network. FUZZ-IEEE (2018)
Fernando Arce, Erik Zamora, Gerardo Hernández, Javier Mauricio Antelis, Humberto Sossa
Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. MLDM (2) (2018)
Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón
Differential evolution training algorithm for dendrite morphological neural networks. Appl. Soft Comput. 68 (2018)
Salvador Ortiz, Wen Yu, Erik Zamora
Sliding Mode SLAM for Robust Simultaneous Localization and Mapping. IECON (2018)
Salvador Ortiz-Santos, Wen Yu, Erik Zamora
Sliding mode three-dimension SLAM with application to quadrotor helicopter. CCE (2018)
Fernando Arce, Erik Zamora, Humberto Sossa
Dendrite Ellipsoidal Neuron. IJCNN (2017)
Leonardo Delgado, Gerardo Hernández, Erik Zamora, Humberto Sossa, Aldrin Barreto, Francisco Ramos Collazo, Rosalina Reyes
Classification of the estrous cycle through texture and shape features. SSCI (2017)
Erik Zamora, Humberto Sossa
Dendrite morphological neurons trained by stochastic gradient descent. Neurocomputing 260 (2017)
Gerardo Hernández, Erik Zamora, Humberto Sossa
Comparing Deep and Dendrite Neural Networks: A Case Study. MCPR (2017)
Erik Zamora, Wen Yu
Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments. Cybern. Syst. 47 (7) (2016)
Wen Yu, Erik Zamora, Alberto Soria
Ellipsoid SLAM: a novel set membership method for simultaneous localization and mapping. Auton. Robots 40 (1) (2016)
Erik Zamora, Humberto Sossa
Dendrite morphological neurons trained by stochastic gradient descent. SSCI (2016)
Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón
Dendrite Morphological Neural Networks trained by Differential Evolution. SSCI (2016)
Erik Zamora, Wen Yu
Novel autonomous navigation algorithms in dynamic and unknown environments. SMC (2014)
Erik Zamora, Wen Yu
Ellipsoid method for Simultaneous Localization and Mapping of mobile robot. CDC (2014)
Erik Zamora, Wen Yu
Mobile robot navigation in dynamic and unknown environments. CCA (2014)