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ORCIDErik Zamora 0001
Person information
- affiliation: Instituto Politécnico Nacional, Centro de Investigacion en Computacion (CIC), Mexico City, Mexico
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2020 – today
- 2023
[j12]Rocio Ochoa-Montiel, Rodrigo Francisco Román Godínez, Erik Zamora, Juan Humberto Sossa Azuela, Gerardo Hernández:
Dendritic neural networks in the classification of estrous cycle images. Int. J. Comb. Optim. Probl. Informatics 14(1): 39-48 (2023)- 2022
- [i1]Juan Irving Vasquez-Gomez, David E. Troncoso Romero, Mayra Antonio-Cruz, Erik Zamora:
Spiral Trajectories for Building Inspection with Quadrotors. CoRR abs/2202.08779 (2022) - 2021
- [j11]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): 8-19 (2021) - [c20]Carlos Emiliano Solórzano-Espíndola
, Erik Zamora, Humberto Sossa:
Multi-subject classification of Motor Imagery EEG signals using transfer learning in neural networks. EMBC 2021: 1006-1009 - [c19]Omar Gutiérrez, Erik Zamora, Ricardo Menchaca:
Graph Representation for Learning the Traveling Salesman Problem. MCPR 2021: 153-162 - [c18]Carlos Emiliano Solórzano-Espíndola, Humberto Sossa, Erik Zamora:
A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization. MCPR 2021: 305-315 - [c17]Uriel Escalona, Erik Zamora, Humberto Sossa:
RiskIPN: Pavement Risk Database for Segmentation with Deep Learning. MICAI (1) 2021: 69-80 - 2020
- [j10]Omar Edgardo Lugo Sánchez, Juan Humberto Sossa Azuela, Erik Zamora Gómez:
Robust Place Recognition using Convolutional Neural Networks. Computación y Sistemas 24(4) (2020) - [j9]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: 577749 (2020) - [j8]Gerardo Hernández, Erik Zamora, Humberto Sossa, Germán Téllez, Federico Furlán Colón:
Hybrid neural networks for big data classification. Neurocomputing 390: 327-340 (2020) - [c16]Víctor Rubén Virgilio-González, Humberto Sossa, Erik Zamora:
Vision-Based Blind Spot Warning System by Deep Neural Networks. MCPR 2020: 185-194
2010 – 2019
- 2019
- [j7]Uriel González Escalona, Fernando Arce, Erik Zamora, Juan Humberto Sossa Azuela:
Fully Convolutional Networks for Automatic Pavement Crack Segmentation. Computación y Sistemas 23(2): 451-460 (2019) - [j6]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:
Estrous Cycle Classification through Automatic Feature Extraction. Computación y Sistemas 23(4) (2019) - [j5]Fernando Arce, Erik Zamora, Carolina Fócil Arias, Humberto Sossa:
Dendrite ellipsoidal neurons based on k-means optimization. Evol. Syst. 10(3): 381-396 (2019) - [c15]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: 80-88 - [c14]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: 389-397 - 2018
- [j4]Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón:
Differential evolution training algorithm for dendrite morphological neural networks. Appl. Soft Comput. 68: 303-313 (2018) - [c13]Gerardo Hernández, Erik Zamora, Humberto Sossa:
Morphological-Linear Neural Network. FUZZ-IEEE 2018: 1-6 - [c12]Salvador Ortiz-Santos, Wen Yu, Erik Zamora:
Sliding mode three-dimension SLAM with application to quadrotor helicopter. CCE 2018: 1-6 - [c11]Salvador Ortiz, Wen Yu, Erik Zamora:
Sliding Mode SLAM for Robust Simultaneous Localization and Mapping. IECON 2018: 5674-5679 - [c10]Joel García, Erik Zamora, Humberto Sossa:
Supervised and Unsupervised Neural Networks: Experimental Study for Anomaly Detection in Electrical Consumption. MICAI (1) 2018: 98-109 - [c9]Fernando Arce, Erik Zamora, Gerardo Hernández, Javier Mauricio Antelis, Humberto Sossa:
Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. MLDM (2) 2018: 468-482 - 2017
- [j3]Erik Zamora, Humberto Sossa:
Dendrite morphological neurons trained by stochastic gradient descent. Neurocomputing 260: 420-431 (2017) - [c8]Fernando Arce, Erik Zamora, Humberto Sossa:
Dendrite Ellipsoidal Neuron. IJCNN 2017: 795-802 - [c7]Gerardo Hernández, Erik Zamora, Humberto Sossa:
Comparing Deep and Dendrite Neural Networks: A Case Study. MCPR 2017: 32-41 - [c6]Leonardo Delgado, Gerardo Hernández, Erik Zamora, Humberto Sossa, Aldrin Barreto-Flores, Francisco Ramos Collazo, Rosalina Reyes:
Classification of the estrous cycle through texture and shape features. SSCI 2017: 1-7 - 2016
- [j2]Wen Yu, Erik Zamora, Alberto Soria:
Ellipsoid SLAM: a novel set membership method for simultaneous localization and mapping. Auton. Robots 40(1): 125-137 (2016) - [j1]Erik Zamora, Wen Yu:
Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments. Cybern. Syst. 47(7) (2016) - [c5]Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón:
Dendrite Morphological Neural Networks trained by Differential Evolution. SSCI 2016: 1-8 - [c4]Erik Zamora, Humberto Sossa:
Dendrite morphological neurons trained by stochastic gradient descent. SSCI 2016: 1-8 - 2014
- [c3]Erik Zamora, Wen Yu:
Mobile robot navigation in dynamic and unknown environments. CCA 2014: 1046-1051 - [c2]Erik Zamora, Wen Yu:
Ellipsoid method for Simultaneous Localization and Mapping of mobile robot. CDC 2014: 5334-5339 - [c1]Erik Zamora, Wen Yu:
Novel autonomous navigation algorithms in dynamic and unknown environments. SMC 2014: 1276-1281
Coauthor Index
aka: Humberto Sossa
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last updated on 2023-11-13 23:29 CET by the dblp team
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