Carlos
Fernández Lozano
Profesor Titular de Universidad
Daniel
Rivero Cebrián
Profesor Titular de Universidad
Publicaciones en las que colabora con Daniel Rivero Cebrián (5)
2020
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Population subset selection for the use of a validation dataset for overfitting control in genetic programming
Journal of Experimental and Theoretical Artificial Intelligence, Vol. 32, Núm. 2, pp. 243-271
2016
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Using genetic algorithms to improve support vector regression in the analysis of atomic spectra of lubricant oils
Engineering Computations (Swansea, Wales), Vol. 33, Núm. 4, pp. 995-1005
2015
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A hybrid evolutionary system for automated artificial neural networks generation and simplification in biomedical applications
Current Bioinformatics, Vol. 10, pp. 672-691
2013
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A texture-based classification method for proteins in two-dimensional electrophoresis gel images: A feature selection method using Support Vector Machines and Genetic Algorithms
VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
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Applied computational techniques on schizophrenia using genetic mutations
Current Topics in Medicinal Chemistry, Vol. 13, Núm. 5, pp. 675-684