Ginés Rubio - researchr alias

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Viewing Publication 1 - 12 from 12

2010

2009

Applying Mutual Information for Prototype or Instance Selection in Regression ProblemsAlberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas. esann 2009: [doi]

Global and Local Modelling in Radial Basis Functions NetworksLuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, J. Urquiza. iwann 2009: 49-56 [doi]

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 matlabGinés Rubio, Alberto Guillén, Héctor Pomares, Ignacio Rojas, Ben Paechter, Peter Glösekötter, C. I. Torres-Ceballos. ieeehpcs 2009: 145-152 [doi]

Creation of Specific-to-Problem Kernel Functions for Function ApproximationGinés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén. iwann 2009: 335-342 [doi]

Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature SelectionJ. M. Urquiza, Ignacio Rojas, Héctor Pomares, J. P. Florido, Ginés Rubio, Luis Javier Herrera, J. C. Calvo, Julio Ortega. iwann 2009: 853-860 [doi]

2007

On Incorporating Seasonal Information on Recursive Time Series PredictorsLuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio. icann 2007: 506-515 [doi]

Kernel Methods Applied to Time Series ForecastingGinés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas. iwann 2007: 782-789 [doi]

2005

A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic InterpolationGinés Rubio, Héctor Pomares. iwann 2005: 34-41 [doi]

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 CasesGinés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén. iwinac 2005: 143-152 [doi]

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