Ginés Rubio

According to our database, Ginés Rubio authored at least 19 papers between 2005 and 2011.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2011

Global and local modelling in RBF networks.

Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza

Neurocomputing, 2011

2010

Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks.

Alberto Guillén, F. G. del Moral, Luis Javier Herrera, Ginés Rubio, Ignacio Rojas, Olga Valenzuela, Héctor Pomares

Neural Comput. Appl., 2010

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling.

Ginés Rubio, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén

Neurocomputing, 2010

New method for instance or prototype selection using mutual information in time series prediction.

Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas

Neurocomputing, 2010

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem.

Alberto Guillén, Ginés Rubio, I. Toda, Antonio J. Rivera, Héctor Pomares, Ignacio Rojas Ruiz

Expert Syst. Appl., 2010

2009

Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection.

José M. Urquiza, Ignacio Rojas, Héctor Pomares, J. P. Florido, Ginés Rubio, Luis Javier Herrera, José C. Calvo, Julio Ortega Lopera

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Creation of Specific-to-Problem Kernel Functions for Function Approximation.

Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Global and Local Modelling in Radial Basis Functions Networks.

Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks.

Alberto Guillén, A. M. Trujillo, Samuel F. Romero, Ginés Rubio, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, José F. Guillén

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection.

José Miguel Urquiza Ortiz, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, Ginés Rubio, J. P. Florido

Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

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.

Ginés Rubio, Alberto Guillén, Héctor Pomares, Ignacio Rojas, Ben Paechter, Peter Glösekötter, C. I. Torres-Ceballos

Proceedings of the 2009 International Conference on High Performance Computing & Simulation, 2009

Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.

Ginés Rubio, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Guillén

Proceedings of the Artificial Neural Networks, 2009

Strengthening the Forward Variable Selection Stopping Criterion.

Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Ben Paechter, Alberto Guillén, Ignacio Rojas

Proceedings of the Artificial Neural Networks, 2009

Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems.

Alberto Guillén, Antti Sorjamaa, Ginés Rubio, Amaury Lendasse, Ignacio Rojas

Proceedings of the Artificial Neural Networks, 2009

Applying Mutual Information for Prototype or Instance Selection in Regression Problems.

Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2007

Kernel Methods Applied to Time Series Forecasting.

Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas

Proceedings of the Computational and Ambient Intelligence, 2007

On Incorporating Seasonal Information on Recursive Time Series Predictors.

Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio

Proceedings of the Artificial Neural Networks, 2007

2005

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.

Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén

Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation.

Ginés Rubio, Héctor Pomares

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005