Falcón-Morales, Luis Eduardo

Overview

I am a mathematician. Teaching mathematics and statistics in the undergraduated and graduate programs for several years. I had been in CONACYT projects with PYMES of Jalisco. My research areas are related to Conformal Geometric Algebra and Machine Learning applied to robotic vision, omnidirectional images, medical images, recommendation systems in social networks, among others. In recent years, the investigation of Deep Learning algorithms for application in social security problems, text generation in the area of Natural Language Processing and medical images has allowed several postgraduate thesis and proposals for innovation projects.

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selected publications

academic article in scopus
- Spiking Neural Networks applied to the classification of motor tasks in EEG signals. Neural Networks. 122:130-143. 2020
- Modeling, Simulation and Optimization of Power Plant Energy Sustainability for IoT Enabled Smart Cities Empowered with Deep Extreme Learning Machine. IEEE Access. 8:39982-39997. 2020
- Dendrite morphological neural networks for motor task recognition from electroencephalographic signals. Biomedical Signal Processing and Control. 44:12-24. 2018
- Improving pattern classification of DNA microarray data by using PCA and Logistic Regression. Intelligent Data Analysis. 20:S53-S67. 2016
- Emotions and the Urban Lighting Environment: A Cross-Cultural Comparison. SAGE Open. 6. 2016
- Retinal vessel extraction using Lattice Neural Networks with dendritic processing. Computers in Biology and Medicine. 58:20-30. 2015
- Automatic reading of electro-mechanical utility meters 2013
chapter in scopus
- Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones. Lecture Notes in Computer Science. 161-172. 2021
- Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification. Lecture Notes in Computer Science. 80-88. 2019
- Motor Imagery Task Classification in EEG Signals with Spiking Neural Network. Lecture Notes in Computer Science. 14-24. 2019
- Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals. Lecture Notes in Computer Science. 389-397. 2019
- Automatic construction of radial-basis function networks through an adaptive partition algorithm. Lecture Notes in Computer Science. 198-207. 2016
- Classification of hand movements from non-invasive brain signals using lattice neural networks with dendritic processing. Lecture Notes in Computer Science. 23-32. 2015
- Modified binary inertial particle swarm optimization for gene selection in DNA microarray data. Lecture Notes in Computer Science. 271-281. 2015
- Pattern analysis in DNA microarray data through PCA-based gene selection. Lecture Notes in Computer Science. 532-539. 2014
- Blood vessel segmentation in retinal images using lattice neural networks. Lecture Notes in Computer Science. 532-544. 2013