José Luis Subirats

According to our database, José Luis Subirats authored at least 21 papers between 2006 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins.

Francisco J. Veredas, Daniel Urda, José Luis Subirats, Francisco R. Cantón, Juan Carlos Aledo

Neural Comput. Appl., 2020

2017

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

Proceedings of the Advances in Computational Intelligence, 2017

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

2013

Addressing critical issues in the development of an Oncology Information System.

Daniel Urda, Nuria Ribelles, José Luis Subirats, Leonardo Franco, Emilio Alba, José Manuel Jerez

Int. J. Medical Informatics, 2013

Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms.

Rafael Marcos Luque Baena, Daniel Urda, José Luis Subirats, Leonardo Franco, José M. Jerez

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 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

Proceedings of the Advances in Computational Intelligence, 2013

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

Proceedings of the Advances in Computational Intelligence, 2013

2012

C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons.

José Luis Subirats, Leonardo Franco, José M. Jerez

Neural Networks, 2012

WIMP: Web server tool for missing data imputation.

Daniel Urda, José Luis Subirats, Pedro J. García-Laencina, Leonardo Franco, José-Luis Sancho-Gómez, José Manuel Jerez

Comput. Methods Programs Biomed., 2012

2011

Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems.

Yasel Couce, Leonardo Franco, Daniel Urda, José Luis Subirats, José M. Jerez

Proceedings of the Advances in Computational Intelligence, 2011

2010

Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm.

José Luis Subirats, José M. Jerez, Iván Gómez, Leonardo Franco

Cogn. Comput., 2010

Extension of the Generalization Complexity Measure to Real Valued Input Data Sets.

Iván Gómez, Leonardo Franco, José M. Jerez, José Luis Subirats

Proceedings of the Advances in Neural Networks, 2010

Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles.

Daniel Urda, José Luis Subirats, Leonardo Franco, José Manuel Jerez

Proceedings of the Trends in Applied Intelligent Systems, 2010

2009

Active Learning Using a Constructive Neural Network Algorithm.

José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez

Proceedings of the Constructive Neural Networks, 2009

2008

A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions.

José Luis Subirats, José M. Jerez, Leonardo Franco

IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Active Learning Using a Constructive Neural Network Algorithm.

José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez

Proceedings of the Artificial Neural Networks, 2008

2007

Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm.

Leonardo Franco, José Luis Subirats, Ignacio Molina, Emilio Alba, José M. Jerez

Proceedings of the Computational and Ambient Intelligence, 2007

MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set.

Leonardo Franco, José Luis Subirats, José M. Jerez

Proceedings of the Artificial Neural Networks, 2007

2006

A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions.

Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez

Proceedings of the International Joint Conference on Neural Networks, 2006

Optimal Synthesis of Boolean Functions by Threshold Functions.

José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco

Proceedings of the Artificial Neural Networks, 2006

Neural Network Architecture Selection: Size Depends on Function Complexity.

Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez

Proceedings of the Artificial Neural Networks, 2006