Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller. - Francisco Ortega-Zamorano; José Luis Subirats; José M. Jerez; Ignacio Molina; Leonardo Franco (IWANN (1), 2013)

Committee C-Mantec: A Probabilistic Constructive Neural Network. - José Luis Subirats; Rafael Marcos Luque Baena; Daniel Urda; Francisco Ortega-Zamorano; José Manuel Jerez; Leonardo Franco (IWANN (1), 2013)

High precision FPGA implementation of neural network activation functions. - Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Jorge O. Perez; Leonardo Franco (IES, 2014)

Smart sensor/actuator node reprogramming in changing environments using a neural network model. - Francisco Ortega-Zamorano; José M. Jerez; José Luis Subirats; Ignacio Molina; Leonardo Franco (Eng. Appl. Artif. Intell., 2014)

FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. - Francisco Ortega-Zamorano; José M. Jerez; Leonardo Franco (IEEE Trans. Ind. Informatics, 2014)

FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms. - Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Leonardo Franco (IWANN (2), 2015)

Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. - Francisco Ortega-Zamorano; José M. Jerez; Iván Gómez; Leonardo Franco (DCAI, 2016)

Thermal comfort estimation using a neurocomputational model. - Jose Rodriguez-Alabarce; Francisco Ortega-Zamorano; José M. Jerez; Kusha Ghoreishi; Leonardo Franco (LA-CCI, 2016)

Smart motion detection sensor based on video processing using self-organizing maps. - Francisco Ortega-Zamorano; Miguel A. Molina-Cabello; Ezequiel López-Rubio; Esteban J. Palomo (Expert Syst. Appl., 2016)

Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. - Francisco Ortega-Zamorano; José M. Jerez; Daniel Urda; Rafael M. Luque-Baena; Leonardo Franco (IEEE Trans. Neural Networks Learn. Syst., 2016)

FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. - Francisco Ortega-Zamorano; Marcelo A. Montemurro; Sergio Alejandro Cannas; José M. Jerez; Leonardo Franco (IEEE Trans. Parallel Distributed Syst., 2016)

Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. - José Luis Subirats; Héctor Mesa; Francisco Ortega-Zamorano; Gustavo Juárez; José M. Jerez; Ignacio J. Turias; Leonardo Franco (IWANN (1), 2017)

Layer multiplexing FPGA implementation for deep back-propagation learning. - Francisco Ortega-Zamorano; José M. Jerez; Iván Gómez; Leonardo Franco (Integr. Comput. Aided Eng., 2017)

FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm. - Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Leonardo Franco (Neural Process. Lett., 2017)

Portable Expert System to Voice and Speech Recognition Using an Open Source Computer Hardware. - Hugo E. Betancourt; Daniel A. Armijos; Paola N. Martinez; Andres E. Ponce; Francisco Ortega-Zamorano (EECS, 2018)

Unsupervised learning by cluster quality optimization. - Ezequiel López-Rubio; Esteban J. Palomo; Francisco Ortega-Zamorano (Inf. Sci., 2018)

Prediction of Learning Improvement in Mathematics through a Video Game using Neurocomputational Models. - Richard Torres-Molina; Andrés Riofrío-Valdivieso; Carlos Bustamante-Orellana; Francisco Ortega-Zamorano (ICAART (2), 2019)

Red-Black Tree Based NeuroEvolution of Augmenting Topologies. - William R. Arellano; Paul A. Silva; Maria F. Molina; Saulo Ronquillo; Francisco Ortega-Zamorano (IWANN (2), 2019)

Piecewise Polynomial Activation Functions for Feedforward Neural Networks. - Ezequiel López-Rubio; Francisco Ortega-Zamorano; Enrique Domínguez; José Muñoz-Pérez (Neural Process. Lett., 2019)

Digital Cryptography Implementation using Neurocomputational Model with Autoencoder Architecture. - Francisco Quinga-Socasi; Ronny Velastegui; Luis Zhinin-Vera; Rafael Valencia-Ramos; Francisco Ortega-Zamorano; Oscar Chang (ICAART (2), 2020)

Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm. - Iván Gómez; Héctor Mesa; Francisco Ortega-Zamorano; José M. Jerez-Aragonés; Leonardo Franco (Neural Comput. Appl., 2020)

Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest. - Esteban J. Palomo; Ezequiel López-Rubio; Francisco Ortega-Zamorano; Rafaela Benítez-Rochel (Neural Process. Lett., 2020)

Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences. - Esteban J. Palomo; Jesús Benito-Picazo; Enrique Domínguez; Ezequiel López-Rubio; Francisco Ortega-Zamorano (SOCO, 2021)

A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization. - José David Fernández-Rodríguez; Esteban J. Palomo; Jesús Benito-Picazo; Enrique Domínguez; Ezequiel López-Rubio; Francisco Ortega-Zamorano (Neurocomputing, 2023)

An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition. - Modesto Castrillón Santana; David Freire-Obregón; Daniel Hernández-Sosa; Oliverio J. Santana; Francisco Ortega-Zamorano; José Isern González; Javier Lorenzo-Navarro (ICPRAM, 2024)