Francisco Javier Iglesias-Rodríguez

Orcid: 0000-0002-9345-5113

According to our database1, Francisco Javier Iglesias-Rodríguez authored at least 10 papers between 2011 and 2020.

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

Timeline

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Bibliography

2020
Outcome prediction for salivary gland cancer using multivariate adaptative regression splines (MARS) and self-organizing maps (SOM).
Neural Comput. Appl., 2020

Copper Price Time Series Forecasting by Means of Generalized Regression Neural Networks with Optimized Predictor Variables.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020


2019
Prediction of Computer Vision Syndrome in Health Personnel by Means of Genetic Algorithms and Binary Regression Trees.
Sensors, 2019

Convolutional Neural Networks Approach for Solar Reconstruction in SCAO Configurations.
Sensors, 2019

2018
A Hybrid Algorithm for the Prediction of Computer Vision Syndrome in Health Personnel Based on Trees and Evolutionary Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
Analysis of the Temporal Structure Evolution of Physical Systems with the Self-Organising Tree Algorithm (SOTA): Application for Validating Neural Network Systems on Adaptive Optics Data before On-Sky Implementation.
Entropy, 2017

Outcome Prediction for Salivary Gland Cancer Using Multivariate Adaptative Regression Splines (MARS) and Self-Organizing Maps (SOM).
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

2011
Application of an SVM-based regression model to the air quality study at local scale in the Avilés urban area (Spain).
Math. Comput. Model., 2011


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