Francisco Ortega-Zamorano

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Fpga Implementation

Monte Carlo Simulation

Color Quantization

Top Venues

Neural Process. Lett.

Publications

Modesto Castrillón Santana, David Freire-Obregón, Daniel Hernández-Sosa, Oliverio J. Santana, Francisco Ortega-Zamorano, José Isern González, Javier Lorenzo-Navarro
An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition. ICPRAM (2024)
José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization. Neurocomputing 544 (2023)
Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences. SOCO (2021)
Esteban J. Palomo, Ezequiel López-Rubio, Francisco Ortega-Zamorano, Rafaela Benítez-Rochel
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest. Neural Process. Lett. 52 (3) (2020)
Francisco Quinga-Socasi, Ronny Velastegui, Luis Zhinin-Vera, Rafael Valencia-Ramos, Francisco Ortega-Zamorano, Oscar Chang
Digital Cryptography Implementation using Neurocomputational Model with Autoencoder Architecture. ICAART (2) (2020)
Iván Gómez, Héctor Mesa, Francisco Ortega-Zamorano, José M. Jerez-Aragonés, Leonardo Franco
Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm. Neural Comput. Appl. 32 (13) (2020)
Ezequiel López-Rubio, Francisco Ortega-Zamorano, Enrique Domínguez, José Muñoz-Pérez
Piecewise Polynomial Activation Functions for Feedforward Neural Networks. Neural Process. Lett. 50 (1) (2019)
William R. Arellano, Paul A. Silva, Maria F. Molina, Saulo Ronquillo, Francisco Ortega-Zamorano
Red-Black Tree Based NeuroEvolution of Augmenting Topologies. IWANN (2) (2019)
Richard Torres-Molina, Andrés Riofrío-Valdivieso, Carlos Bustamante-Orellana, Francisco Ortega-Zamorano
Prediction of Learning Improvement in Mathematics through a Video Game using Neurocomputational Models. ICAART (2) (2019)
Hugo E. Betancourt, Daniel A. Armijos, Paola N. Martinez, Andres E. Ponce, Francisco Ortega-Zamorano
Portable Expert System to Voice and Speech Recognition Using an Open Source Computer Hardware. EECS (2018)
Ezequiel López-Rubio, Esteban J. Palomo, Francisco Ortega-Zamorano
Unsupervised learning by cluster quality optimization. Inf. Sci. (2018)
Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
Layer multiplexing FPGA implementation for deep back-propagation learning. Integr. Comput. Aided Eng. 24 (2) (2017)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm. Neural Process. Lett. 46 (3) (2017)
José Luis Subirats, Héctor Mesa, Francisco Ortega-Zamorano, Gustavo Juárez, José M. Jerez, Ignacio J. Turias, Leonardo Franco
Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. IWANN (1) (2017)
Francisco Ortega-Zamorano, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Esteban J. Palomo
Smart motion detection sensor based on video processing using self-organizing maps. Expert Syst. Appl. 64 (2016)
Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. DCAI (2016)
Jose Rodriguez-Alabarce, Francisco Ortega-Zamorano, José M. Jerez, Kusha Ghoreishi, Leonardo Franco
Thermal comfort estimation using a neurocomputational model. LA-CCI (2016)
Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio Alejandro Cannas, José M. Jerez, Leonardo Franco
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. IEEE Trans. Parallel Distributed Syst. 27 (9) (2016)
Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio A. Cannas, José M. Jerez, Leonardo Franco
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. CoRR (2016)
Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. IEEE Trans. Neural Networks Learn. Syst. 27 (9) (2016)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms. IWANN (2) (2015)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Jorge O. Perez, Leonardo Franco
High precision FPGA implementation of neural network activation functions. IES (2014)
Francisco Ortega-Zamorano, José M. Jerez, Leonardo Franco
FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. IEEE Trans. Ind. Informatics 10 (2) (2014)
Francisco Ortega-Zamorano, José M. Jerez, José Luis Subirats, Ignacio Molina, Leonardo Franco
Smart sensor/actuator node reprogramming in changing environments using a neural network model. Eng. Appl. Artif. Intell. 30 (2014)
Francisco Ortega-Zamorano, José Luis Subirats, José M. Jerez, Ignacio Molina, Leonardo Franco
Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller. IWANN (1) (2013)
José Luis Subirats, Rafael Marcos Luque Baena, Daniel Urda, Francisco Ortega-Zamorano, José Manuel Jerez, Leonardo Franco
Committee C-Mantec: A Probabilistic Constructive Neural Network. IWANN (1) (2013)