José Luis Subirats

According to our database1, José Luis Subirats authored at least 21 papers between 2006 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins.
Neural Comput. Appl., 2020

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

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

2013
Addressing critical issues in the development of an Oncology Information System.
Int. J. Medical Informatics, 2013

Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 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

2012
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons.
Neural Networks, 2012

WIMP: Web server tool for missing data imputation.
Comput. Methods Programs Biomed., 2012

2011
Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems.
Proceedings of the Advances in Computational Intelligence, 2011

2010
Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm.
Cogn. Comput., 2010

Extension of the Generalization Complexity Measure to Real Valued Input Data Sets.
Proceedings of the Advances in Neural Networks, 2010

Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles.
Proceedings of the Trends in Applied Intelligent Systems, 2010

2009
Active Learning Using a Constructive Neural Network Algorithm.
Proceedings of the Constructive Neural Networks, 2009

2008
A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Active Learning Using a Constructive Neural Network Algorithm.
Proceedings of the Artificial Neural Networks, 2008

2007
Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm.
Proceedings of the Computational and Ambient Intelligence, 2007

MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set.
Proceedings of the Artificial Neural Networks, 2007

2006
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions.
Proceedings of the International Joint Conference on Neural Networks, 2006

Optimal Synthesis of Boolean Functions by Threshold Functions.
Proceedings of the Artificial Neural Networks, 2006

Neural Network Architecture Selection: Size Depends on Function Complexity.
Proceedings of the Artificial Neural Networks, 2006


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