Francisco Ortega-Zamorano

Orcid: 0000-0002-4397-2905

According to our database1, Francisco Ortega-Zamorano authored at least 25 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization.
Neurocomputing, August, 2023

2021
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

2020
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest.
Neural Process. Lett., 2020

Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm.
Neural Comput. Appl., 2020

Digital Cryptography Implementation using Neurocomputational Model with Autoencoder Architecture.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019
Piecewise Polynomial Activation Functions for Feedforward Neural Networks.
Neural Process. Lett., 2019

Red-Black Tree Based NeuroEvolution of Augmenting Topologies.
Proceedings of the Advances in Computational Intelligence, 2019

Prediction of Learning Improvement in Mathematics through a Video Game using Neurocomputational Models.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2018
Unsupervised learning by cluster quality optimization.
Inf. Sci., 2018

Portable Expert System to Voice and Speech Recognition Using an Open Source Computer Hardware.
Proceedings of the 2nd European Conference on Electrical Engineering and Computer Science, 2018

2017
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm.
Neural Process. Lett., 2017

Layer multiplexing FPGA implementation for deep back-propagation learning.
Integr. Comput. Aided Eng., 2017

Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme.
Proceedings of the Advances in Computational Intelligence, 2017

2016
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model.
IEEE Trans. Parallel Distributed Syst., 2016

Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers.
IEEE Trans. Neural Networks Learn. Syst., 2016

Smart motion detection sensor based on video processing using self-organizing maps.
Expert Syst. Appl., 2016

Thermal comfort estimation using a neurocomputational model.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme.
Proceedings of the Distributed Computing and Artificial Intelligence, 2016

2015
FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms.
Proceedings of the Advances in Computational Intelligence, 2015

2014
FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm.
IEEE Trans. Ind. Informatics, 2014

Smart sensor/actuator node reprogramming in changing environments using a neural network model.
Eng. Appl. Artif. Intell., 2014

High precision FPGA implementation of neural network activation functions.
Proceedings of the IEEE Symposium on Intelligent Embedded Systems, 2014

2013
Committee C-Mantec: A Probabilistic Constructive Neural Network.
Proceedings of the Advances in Computational Intelligence, 2013

Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller.
Proceedings of the Advances in Computational Intelligence, 2013


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