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ORCIDGinés Rubio
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2010 – 2019
- 2011
[j5]Luis Javier Herrera, Héctor Pomares
, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza:
Global and local modelling in RBF networks. Neurocomputing 74(16): 2594-2602 (2011)- 2010
- [j4]Alberto Guillén, Ginés Rubio, I. Toda, Antonio J. Rivera, Héctor Pomares, Ignacio Rojas Ruiz:
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem. Expert Syst. Appl. 37(6): 4050-4057 (2010) - [j3]Ginés Rubio, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén:
Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling. Neurocomputing 73(10-12): 1965-1975 (2010) - [j2]Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas:
New method for instance or prototype selection using mutual information in time series prediction. Neurocomputing 73(10-12): 2030-2038 (2010) - [j1]Alberto Guillén, F. G. del Moral, Luis Javier Herrera, Ginés Rubio, Ignacio Rojas, Olga Valenzuela, Héctor Pomares:
Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks. Neural Comput. Appl. 19(3): 465-470 (2010)
2000 – 2009
- 2009
- [c14]Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas:
Applying Mutual Information for Prototype or Instance Selection in Regression Problems. ESANN 2009 - [c13]Alberto Guillén, Antti Sorjamaa, Ginés Rubio, Amaury Lendasse, Ignacio Rojas:
Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems. ICANN (1) 2009: 1-9 - [c12]Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Ben Paechter, Alberto Guillén, Ignacio Rojas:
Strengthening the Forward Variable Selection Stopping Criterion. ICANN (2) 2009: 215-224 - [c11]Ginés Rubio, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Guillén:
Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error. ICANN (2) 2009: 406-415 - [c10]Ginés Rubio, Alberto Guillén, Héctor Pomares, Ignacio Rojas, Ben Paechter, Peter Glösekötter, C. I. Torres-Ceballos:
Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab. HPCS 2009: 145-152 - [c9]José Miguel Urquiza Ortiz, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, Ginés Rubio, J. P. Florido:
Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection. ISCIS 2009: 645-650 - [c8]Alberto Guillén, A. M. Trujillo, Samuel F. Romero, Ginés Rubio, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, José F. Guillén:
Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks. ISDA 2009: 1263-1267 - [c7]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza:
Global and Local Modelling in Radial Basis Functions Networks. IWANN (1) 2009: 49-56 - [c6]Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén:
Creation of Specific-to-Problem Kernel Functions for Function Approximation. IWANN (1) 2009: 335-342 - [c5]José M. Urquiza, Ignacio Rojas, Héctor Pomares, J. P. Florido, Ginés Rubio, Luis Javier Herrera, José C. Calvo, Julio Ortega Lopera:
Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection. IWANN (1) 2009: 853-860 - 2007
- [c4]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio:
On Incorporating Seasonal Information on Recursive Time Series Predictors. ICANN (2) 2007: 506-515 - [c3]Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas:
Kernel Methods Applied to Time Series Forecasting. IWANN 2007: 782-789 - 2005
- [c2]Ginés Rubio, Héctor Pomares:
A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation. IWANN 2005: 34-41 - [c1]Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén:
A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases. IWINAC (2) 2005: 143-152
Coauthor Index
aka: Ignacio Rojas Ruiz
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