Geometric algebra of points, lines, planes and spheres for computer vision and robotics. - Eduardo Bayro-Corrochano; Luis Eduardo Falcón (Robotica, 2005)

3D-curves and Ruled Surfaces for Graphics and Robotics using Conformal Geometric Computing. - Luis Falcón-Morales; Eduardo Bayro-Corrochano (ICRA, 2006)

Radon Transform and Harmonical Analysis Using Lines for 3D Rotation Estimation without Correpondences from Omnidirectional Vision. - Luis Falcón-Morales; Eduardo Bayro-Corrochano (ICCV, 2007)

Radon transform and Conformal Geometric Algebra with lines. - Luis Falcón-Morales; Eduardo Bayro-Corrochano (ICPR, 2008)

Image Processing for Automatic Reading of Electro-Mechanical Utility Meters. - Ricardo Ocampo-Vega; Gildardo Sánchez-Ante; Luis Falcón-Morales; Humberto Sossa (MICAI (Special Sessions), 2013)

Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks. - Roberto Vega; Elizabeth Guevara; Luis Eduardo Falcón; Gildardo Sánchez-Ante; Humberto Sossa (MICAI (1), 2013)

Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection. - Ricardo Ocampo-Vega; Marco A. de Luna; Roberto Vega; Gildardo Sánchez-Ante; Luis Falcón-Morales; Humberto Sossa (CIARP, 2014)

Modified Binary Inertial Particle Swarm Optimization for Gene Selection in DNA Microarray Data. - Carlos Garibay; Gildardo Sánchez-Ante; Luis Falcón-Morales; Humberto Sossa (MCPR, 2015)

Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing. - Leonardo Ojeda; Roberto Vega; Luis Eduardo Falcón; Gildardo Sánchez-Ante; Humberto Sossa; Javier Mauricio Antelis (MCPR, 2015)

Retinal vessel extraction using Lattice Neural Networks with dendritic processing. - Roberto Vega; Gildardo Sánchez-Ante; Luis Falcón-Morales; Humberto Sossa; Elizabeth Guevara (Comput. Biol. Medicine, 2015)

Automatic Construction of Radial-Basis Function Networks Through an Adaptive Partition Algorithm. - Ricardo Ocampo-Vega; Gildardo Sánchez-Ante; Luis E. Falcón-Morales; Humberto Sossa (MCPR, 2016)

Improving pattern classification of DNA microarray data by using PCA and logistic regression. - Ricardo Ocampo-Vega; Gildardo Sánchez-Ante; Marco A. de Luna; Roberto Vega; Luis E. Falcón-Morales; Humberto Sossa (Intell. Data Anal., 2016)

Dendrite morphological neural networks for motor task recognition from electroencephalographic signals. - Javier Mauricio Antelis; Berenice Gudiño-Mendoza; Luis Eduardo Falcón; Gildardo Sánchez-Ante; Humberto Sossa (Biomed. Signal Process. Control., 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)

Motor Imagery Task Classification in EEG Signals with Spiking Neural Network. - Carlos Daniel Virgilio-González; Humberto Sossa; Javier Mauricio Antelis; 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)

Formulaciones para el cálculo eficiente del número de hoyos de un objeto binario 2-D. - Juan H. Sossa; Elsa Rubio-Espino; Víctor Hugo Ponce Ponce; Luis Eduardo Falcón (Res. Comput. Sci., 2019)

Modeling, Simulation and Optimization of Power Plant Energy Sustainability for IoT Enabled Smart Cities Empowered With Deep Extreme Learning Machine. - Sagheer Abbas; Muhammad Adnan Khan 001; Luis Eduardo Falcón-Morales; Abdur Rehman; Yousaf Saeed; Mahdi Zareei; Asim Zeb; Ehab Mahmoud Mohamed (IEEE Access, 2020)

Spiking Neural Networks applied to the classification of motor tasks in EEG signals. - Carlos Daniel Virgilio-González; Juan Humberto Sossa Azuela; Javier Mauricio Antelis; Luis Eduardo Falcón (Neural Networks, 2020)

Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones. - Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Miguel González-Mendoza 001; Luis Eduardo Falcón-Morales (MICAI (1), 2021)

Comparing ML based Segmentation Models on Jet Fire Radiation Zone. - Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Miguel González-Mendoza 001; Luis Eduardo Falcón-Morales (CoRR, 2021)

Using Big Data and Serverless Architecture to Follow the Emotional Response to the COVID-19 Pandemic in Mexico. - Edgar León-Sandoval; Mahdi Zareei; Liliana Ibeth Barbosa-Santillán; Luis Eduardo Falcón-Morales (CARLA, 2022)

A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models. - Carlos Axel Garcia-Vega; Ricardo Espinosa; Gilberto Ochoa-Ruiz; Thomas Bazin; Luis Falcón-Morales; Dominique Lamarque; Christian Daul (MICAI (1), 2022)

Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods. - Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Joaquim Casal; Miguel González-Mendoza 001; Luis Eduardo Falcón-Morales (CoRR, 2022)

Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging. - Axel Garcia-Vega; Ricardo Espinosa; Luis Ramirez-Guzman; Thomas Bazin; Luis Falcón-Morales; Gilberto Ochoa-Ruiz; Dominique Lamarque; Christian Daul (ISBI, 2023)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. - Ruben Gonzalez-Perez; Francisco Javier López-Tiro; Iván Reyes-Amezcua; Luis Eduardo Falcón-Morales; Rosa-Maria Rodríguez-Guéant; Jacques Hubert; Michel Daudon; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)