Mobile robot navigation in dynamic and unknown environments. - Erik Zamora 001; Wen Yu 001 (CCA, 2014)

Ellipsoid method for Simultaneous Localization and Mapping of mobile robot. - Erik Zamora 001; Wen Yu 001 (CDC, 2014)

Dendrite Morphological Neural Networks trained by Differential Evolution. - Fernando Arce; Erik Zamora 001; Humberto Sossa; Ricardo Barrón (SSCI, 2016)

Ellipsoid SLAM: a novel set membership method for simultaneous localization and mapping. - Wen Yu 001; Erik Zamora 001; Alberto Soria (Auton. Robots, 2016)

Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments. - Erik Zamora 001; Wen Yu 001 (Cybern. Syst., 2016)

Dendrite Ellipsoidal Neuron. - Fernando Arce; Erik Zamora 001; Humberto Sossa (IJCNN, 2017)

Comparing Deep and Dendrite Neural Networks: A Case Study. - Gerardo Hernández; Erik Zamora 001; Humberto Sossa (MCPR, 2017)

Classification of the estrous cycle through texture and shape features. - Leonardo Delgado; Gerardo Hernández; Erik Zamora 001; Humberto Sossa; Aldrin Barreto-Flores; Francisco Ramos Collazo; Rosalina Reyes (SSCI, 2017)

Dendrite morphological neurons trained by stochastic gradient descent. - Erik Zamora 001; Humberto Sossa (Neurocomputing, 2017)

Morphological-Linear Neural Network. - Gerardo Hernández; Erik Zamora 001; Humberto Sossa (FUZZ-IEEE, 2018)

Sliding mode three-dimension SLAM with application to quadrotor helicopter. - Salvador Ortiz-Santos; Wen Yu 001; Erik Zamora 001 (CCE, 2018)

Sliding Mode SLAM for Robust Simultaneous Localization and Mapping. - Salvador Ortiz 001; Wen Yu 001; Erik Zamora 001 (IECON, 2018)

Supervised and Unsupervised Neural Networks: Experimental Study for Anomaly Detection in Electrical Consumption. - Joel García; Erik Zamora 001; Humberto Sossa (MICAI (1), 2018)

Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. - Fernando Arce; Erik Zamora 001; Gerardo Hernández; Javier Mauricio Antelis; Humberto Sossa (MLDM (2), 2018)

Differential evolution training algorithm for dendrite morphological neural networks. - Fernando Arce; Erik Zamora 001; Humberto Sossa; Ricardo Barrón (Appl. Soft Comput., 2018)

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification. - Fernando Arce; Omar Mendoza-Montoya; Erik Zamora 001; Javier Mauricio Antelis; Humberto Sossa; Jessica Cantillo-Negrete; Rubén Isaac Cariño-Escobar; Luis G. Hernández; Luis Eduardo Falcón (MCPR, 2019)

Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals. - Gerardo Hernández; Luis G. Hernández; Erik Zamora 001; Humberto Sossa; Javier Mauricio Antelis; Omar Mendoza-Montoya; Luis Eduardo Falcón (MCPR, 2019)

Fully Convolutional Networks for Automatic Pavement Crack Segmentation. - Uriel González Escalona; Fernando Arce; Erik Zamora 001; Juan Humberto Sossa Azuela (Computación y Sistemas, 2019)

Estrous Cycle Classification through Automatic Feature Extraction. - Gerardo Hernández; Leonardo Delgado; María del Rocío Ochoa Montiel; Erik Zamora 001; Juan Humberto Sossa Azuela; Aldrin Barreto-Flores; Francisco Ramos Collazo; Rosalina María de Lourdes Reyes Luna (Computación y Sistemas, 2019)

Dendrite ellipsoidal neurons based on k-means optimization. - Fernando Arce; Erik Zamora 001; Carolina Fócil Arias; Humberto Sossa (Evol. Syst., 2019)

Vision-Based Blind Spot Warning System by Deep Neural Networks. - Víctor Rubén Virgilio-González; Humberto Sossa; Erik Zamora 001 (MCPR, 2020)

Robust Place Recognition using Convolutional Neural Networks. - Omar Edgardo Lugo Sánchez; Juan Humberto Sossa Azuela; Erik Zamora Gómez (Computación y Sistemas, 2020)

PD Control Compensation Based on a Cascade Neural Network Applied to a Robot Manipulator. - Luis Arturo Soriano; Erik Zamora 001; J. M. Vazquez-Nicolas; Gerardo Hernández; José Antonio Barraza-Madrigal; David Balderas Silva (Frontiers Neurorobotics, 2020)

Hybrid neural networks for big data classification. - Gerardo Hernández; Erik Zamora 001; Humberto Sossa; Germán Téllez; Federico Furlán Colón (Neurocomputing, 2020)

Multi-subject classification of Motor Imagery EEG signals using transfer learning in neural networks. - Carlos Emiliano Solórzano-Espíndola; Erik Zamora 001; Humberto Sossa (EMBC, 2021)

Graph Representation for Learning the Traveling Salesman Problem. - Omar Gutiérrez; Erik Zamora 001; Ricardo Menchaca (MCPR, 2021)

A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization. - Carlos Emiliano Solórzano-Espíndola; Humberto Sossa; Erik Zamora 001 (MCPR, 2021)

RiskIPN: Pavement Risk Database for Segmentation with Deep Learning. - Uriel Escalona; Erik Zamora 001; Humberto Sossa (MICAI (1), 2021)

A Comparative Study of Dendrite Neural Networks for Pattern Classification. - Rodrigo Francisco Román Godínez; Erik Zamora 001; Humberto Sossa (Int. J. Comb. Optim. Probl. Informatics, 2021)

Spiral Trajectories for Building Inspection with Quadrotors. - Juan Irving Vasquez-Gomez; David E. Troncoso Romero; Mayra Antonio-Cruz; Erik Zamora 001 (CoRR, 2022)

Dendritic neural networks in the classification of estrous cycle images. - Rocio Ochoa-Montiel; Rodrigo Francisco Román Godínez; Erik Zamora 001; Juan Humberto Sossa Azuela; Gerardo Hernández (Int. J. Comb. Optim. Probl. Informatics, 2023)

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)

Multiclass Classification of Visual Electroencephalogram Based on Channel Selection, Minimum Norm Estimation Algorithm, and Deep Network Architectures. - Tat'y Mwata-Velu; Erik Zamora 001; Juan Irving Vasquez-Gomez; José Ruiz-Pinales; Humberto Sossa (Sensors, 2024)