 | 2009 |
|---|
| 10 |       | 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 |
| 9 | | 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 |
| 8 | | 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 |
| 7 | | Ginés Rubio,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén:
Creation of Specific-to-Problem Kernel Functions for Function Approximation.
IWANN (1) 2009: 335-342 |
| 6 | | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén,
Ginés Rubio,
J. Urquiza:
Global and Local Modelling in Radial Basis Functions Networks.
IWANN (1) 2009: 49-56 |
| 5 | | J. M. Urquiza,
Ignacio Rojas,
Héctor Pomares,
J. P. Florido,
Ginés Rubio,
Luis Javier Herrera,
J. C. Calvo,
Julio Ortega:
Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection.
IWANN (1) 2009: 853-860 |
| 2007 |
|---|
| 4 | | 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 |
| 3 | | Ginés Rubio,
Héctor Pomares,
Luis Javier Herrera,
Ignacio Rojas:
Kernel Methods Applied to Time Series Forecasting.
IWANN 2007: 782-789 |
| 2005 |
|---|
| 2 | | 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 |
| 1 | | 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 |
