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ORCIDFrancisco Ortega-Zamorano
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2020 – today
- 2024
[c13]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: 910-917- 2023
- [j12]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: 126288 (2023) - 2021
- [c12]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: 327-337 - 2020
- [j11]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): 8955-8963 (2020) - [j10]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): 2537-2563 (2020) - [c11]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: 865-872
2010 – 2019
- 2019
- [j9]Ezequiel López-Rubio, Francisco Ortega-Zamorano, Enrique Domínguez, José Muñoz-Pérez:
Piecewise Polynomial Activation Functions for Feedforward Neural Networks. Neural Process. Lett. 50(1): 121-147 (2019) - [c10]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: 554-559 - [c9]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: 678-686 - 2018
- [j8]Ezequiel López-Rubio, Esteban J. Palomo, Francisco Ortega-Zamorano:
Unsupervised learning by cluster quality optimization. Inf. Sci. 436-437: 31-55 (2018) - [c8]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: 564-568 - 2017
- [j7]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): 171-185 (2017) - [j6]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): 899-914 (2017) - [c7]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: 52-61 - 2016
- [j5]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: 476-489 (2016) - [j4]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): 1840-1850 (2016) - [j3]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): 2618-2627 (2016) - [c6]Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco:
Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. DCAI 2016: 79-86 - [c5]Jose Rodriguez-Alabarce, Francisco Ortega-Zamorano, José M. Jerez, Kusha Ghoreishi, Leonardo Franco:
Thermal comfort estimation using a neurocomputational model. LA-CCI 2016: 1-5 - [i1]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 abs/1602.03016 (2016) - 2015
- [c4]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: 197-208 - 2014
- [j2]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: 179-188 (2014) - [j1]Francisco Ortega-Zamorano, José M. Jerez, Leonardo Franco:
FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. IEEE Trans. Ind. Informatics 10(2): 1154-1161 (2014) - [c3]Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Jorge O. Perez, Leonardo Franco:
High precision FPGA implementation of neural network activation functions. IES 2014: 55-60 - 2013
- [c2]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: 80-87 - [c1]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: 339-346
Coauthor Index
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