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Juan F. Gálvez
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2010 – 2019
- 2013
- [j7]Carlos H. Fajardo Toro, Silvana Gómez Meire, Juan F. Gálvez, Florentino Fdez-Riverola:
A hybrid artificial intelligence model for river flow forecasting. Appl. Soft Comput. 13(8): 3449-3458 (2013) - [j6]Gonzalo Astray, Juan F. Gálvez, Juan C. Mejuto, Oscar A. Moldes, Iago Montoya:
Esters flash point prediction using artificial neural networks. J. Comput. Chem. 34(5): 355-359 (2013) - 2012
- [j5]Noemí Pérez-Díaz, David Ruano-Ordás, José Ramón Méndez, Juan F. Gálvez, Florentino Fdez-Riverola:
Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification. Appl. Soft Comput. 12(11): 3671-3682 (2012) - [j4]Diego Calvo-Dmgz, Juan F. Gálvez, Daniel Glez-Peña, Silvana Gómez Meire, Florentino Fdez-Riverola:
Using Variable Precision Rough Set for Selection and Classification of Biological Knowledge Integrated in DNA Gene Expression. J. Integr. Bioinform. 9(3) (2012) - [c4]Diego Calvo-Dmgz, Juan F. Gálvez, Daniel Glez-Peña, Florentino Fdez-Riverola:
Biological Knowledge Integration in DNA Microarray Gene Expression Classification Based on Rough Set Theory. PACBB 2012: 53-61 - 2011
- [j3]Miguel Reboiro-Jato, Julia Glez-Dopazo, D. Glez, Rosalía Laza, Juan F. Gálvez, Reyes Pavón, Daniel Glez-Peña, Florentino Fdez-Riverola:
Using inductive learning to assess compound feed production in cooperative poultry farms. Expert Syst. Appl. 38(11): 14169-14177 (2011) - 2010
- [c3]Miguel Reboiro-Jato, Daniel Glez-Peña, Juan F. Gálvez, Rosalía Laza, Fernando Díaz, Florentino Fdez-Riverola:
A Comparative Study of Microarray Data Classification Methods Based on Ensemble Biological Relevant Gene Sets. IWPACBB 2010: 25-32
2000 – 2009
- 2005
- [j2]María Victoria Luzón, Antoni Soto-Riera, Juan F. Gálvez, Robert Joan-Arinyo:
Searching the Solution Space in Constructive Geometric Constraint Solving with Genetic Algorithms. Appl. Intell. 22(2): 109-124 (2005) - 2004
- [j1]Pilar Carrión, Eva Cernadas, Juan F. Gálvez, María Rodríguez Damián, Maria Pilar de Sá-Otero:
Classification of honeybee pollen using a multiscale texture filtering scheme. Mach. Vis. Appl. 15(4): 186-193 (2004) - 2003
- [c2]Pilar Carrión, Eva Cernadas, Juan F. Gálvez, Emilia Díaz-Losada:
Determine the Composition of Honeybee Pollen by Texture Classification. IbPRIA 2003: 158-167 - 2000
- [c1]Juan F. Gálvez, Fernando Díaz, Pilar Carrión, Angel Garcia:
An Application for Knowledge Discovery Based on a Revision of VPRS Model. Rough Sets and Current Trends in Computing 2000: 296-303
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