Erik Zamora

According to our database1, Erik Zamora authored at least 25 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

Graph Representation for Learning the Traveling Salesman Problem.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

Hybrid neural networks for big data classification.
Neurocomputing, 2020

PD Control Compensation Based on a Cascade Neural Network Applied to a Robot Manipulator.
Frontiers Neurorobotics, 2020

Vision-Based Blind Spot Warning System by Deep Neural Networks.
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

Dendrite ellipsoidal neurons based on k-means optimization.
Evol. Syst., 2019

Estrous Cycle Classification through Automatic Feature Extraction.
Computación y Sistemas, 2019

Fully Convolutional Networks for Automatic Pavement Crack Segmentation.
Computación y Sistemas, 2019

Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

Differential evolution training algorithm for dendrite morphological neural networks.
Appl. Soft Comput., 2018

Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons.
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.
Proceedings of the Advances in Soft Computing, 2018

Sliding Mode SLAM for Robust Simultaneous Localization and Mapping.
Proceedings of the IECON 2018, 2018

Sliding mode three-dimension SLAM with application to quadrotor helicopter.
Proceedings of the 15th International Conference on Electrical Engineering, 2018

Morphological-Linear Neural Network.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Dendrite morphological neurons trained by stochastic gradient descent.
Neurocomputing, 2017

Classification of the estrous cycle through texture and shape features.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Comparing Deep and Dendrite Neural Networks: A Case Study.
Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017

Dendrite Ellipsoidal Neuron.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments.
Cybern. Syst., 2016

Ellipsoid SLAM: a novel set membership method for simultaneous localization and mapping.
Auton. Robots, 2016

Dendrite Morphological Neural Networks trained by Differential Evolution.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Ellipsoid method for Simultaneous Localization and Mapping of mobile robot.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Mobile robot navigation in dynamic and unknown environments.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014