Carlos Hernández-Espinosa

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Proceedings of the Neural Information Processing - 18th International Conference, 2011

Improving Boosting Methods by Generating Specific Training and Validation Sets.

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Proceedings of the Neural Information Processing - 18th International Conference, 2011

Introducing Reordering Algorithms to Classic Well-Known Ensembles to Improve Their Performance.

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Proceedings of the Neural Information Processing - 18th International Conference, 2011

Researching on combining boosting ensembles.

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Proceedings of the International Joint Conference on Neural Networks, 2008

New Results on Combination Methods for Boosting Ensembles.

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Proceedings of the Artificial Neural Networks, 2008

Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set.

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Proceedings of the Artificial Neural Networks, 2008

Decision Fusion on Boosting Ensembles.

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Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

Researching on Multi-net Systems Based on Stacked Generalization.

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Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

The Mixture of Neural Networks as Ensemble Combiner.

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Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution.

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Proceedings of the Computational and Ambient Intelligence, 2007

Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm.

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Proceedings of the International Joint Conference on Neural Networks, 2007

Mixing Aveboost and Conserboost to Improve Boosting Methods.

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Proceedings of the International Joint Conference on Neural Networks, 2007

Stacking MF Networks to Combine the Outputs Provided by RBF Networks.

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Proceedings of the Artificial Neural Networks, 2007

Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks.

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Proceedings of the Artificial Neural Networks, 2007

Designing a New Multilayer Feedforward Modular Network for Classification Problems.

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Proceedings of the International Joint Conference on Neural Networks, 2006

Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm.

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Proceedings of the International Joint Conference on Neural Networks, 2006

Training Radial Basis Functions by Gradient Descent.

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Proceedings of the International Joint Conference on Neural Networks, 2006

Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble.

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Proceedings of the Neural Information Processing, 13th International Conference, 2006

Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture.

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Proceedings of the Neural Information Processing, 13th International Conference, 2006

Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms.

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Proceedings of the Neural Information Processing, 13th International Conference, 2006

The Mixture of Neural Networks Adapted to Multilayer Feedforward Architecture.

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Proceedings of the Intelligent Computing, 2006

Improving Adaptive Boosting with <i>k</i>-Cross-Fold Validation.

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Proceedings of the Intelligent Computing, 2006

Improving the Combination Module with a Neural Network.

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Proceedings of the Intelligent Computing, 2006

Gradient Descent and Radial Basis Functions.

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Proceedings of the Intelligent Computing, 2006

Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition.

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Proceedings of the Artificial Neural Networks, 2006

Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization.

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Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

An Experimental Study on Training Radial Basis Functions by Gradient Descent.

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Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

Ensembles of Multilayer Feedforward: Some New Results.

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Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

A comparison of combination methods for ensembles of RBF networks.

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Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

A research on combination methods for ensembles of multilayer feedforward.

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Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

New experiments on ensembles of multilayer feedforward for classification problems.

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Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

New Results on Ensembles of Multilayer Feedforward.

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Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Combination Methods for Ensembles of MF.

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Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Combination Methods for Ensembles of RBFs.

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Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

First Experiments on Ensembles of Radial Basis Functions.

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Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification.

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Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images.

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Proceedings of the Advances in Neural Networks, 2004

Ensembles of RBFs Trained by Gradient Descent.

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Proceedings of the Advances in Neural Networks, 2004

Classification by Multilayer Feedforward Ensembles.

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Proceedings of the Advances in Neural Networks, 2004

Gradient Descent Training of Radial Basis Functions.

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Proceedings of the Advances in Neural Networks, 2004

Hyperspectral image classification by ensembles of multilayer feedforward networks.

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Proceedings of the IEEE International Joint Conference on Neural Networks, 2004

Multilayer Feedforward Ensembles for Classification Problems.

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Proceedings of the Neural Information Processing, 11th International Conference, 2004

Some Experiments on Training Radial Basis Functions by Gradient Descent.

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Proceedings of the Neural Information Processing, 11th International Conference, 2004

Experiments on Ensembles of Radial Basis Functions.

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Proceedings of the Artificial Intelligence and Soft Computing, 2004

Training Radial Basis Functions by Gradient Descent.

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Proceedings of the Artificial Intelligence and Soft Computing, 2004

An Empirical Comparison of Training Algorithms for Radial Basis Functions.

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Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Rule Extraction from a Multilayer Feedforward Trained Network via Interval Arithmetic Inversion.

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Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Ensemble Methods for Multilayer Feedforward: An Experimental Study.

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Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A comparison of ensemble methods for multilayer feedforward networks.

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Proceedings of the International Joint Conference on Neural Networks, 2003

Interval arithmetic inversion: a new rule extraction algorithm.

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Proceedings of the International Joint Conference on Neural Networks, 2003

Inversion of a Neural Network via Interval Arithmetic for Rule Extraction.

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Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Ensemble Methods for Multilayer Feedforward.

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Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

A new rule extraction algorithm based on interval arithmetic.

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Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

Weight initialization methods for multilayer feedforward.

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Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Coding the outputs of multilayer feedforward.

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Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Diagnosis of Vocal and Voice Disorders by the Speech Signal.

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Pedro Gómez Vilda

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A Comparison among Weight Initialization Methods for Multilayer Feedforward Networks.

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Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

On the Combination of Weight-Decay and Input Selection Methods.

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Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Influence of weight-decay training in input selection methods.

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Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

Optimal Use of a Trained Neural Network for Input Selection.

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Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

How to Select the Inputs for a Multilayer Feedforward Network by Using the Training Set.

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Juan Ignacio Godino-Llorente

Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

On the selection of meaningful speech parameters used by a pathologic/non pathologic voice register classifier.

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Santiago Aguilera-Navarro

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Pedro Gómez Vilda

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

Generalization capability of one and two hidden layers.

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Proceedings of the International Joint Conference Neural Networks, 1999

Input selection by multilayer feedforward trained networks.

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Proceedings of the International Joint Conference Neural Networks, 1999

A comparison between two interval arithmetic learning algorithms.

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Proceedings of the International Joint Conference Neural Networks, 1999

Neural networks input selection by using the training set.

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Proceedings of the International Joint Conference Neural Networks, 1999

On the error function of interval arithmetic backpropagation.

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Mercedes Fernández

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Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

One or two hidden layers perceptrons.

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Mercedes Fernández

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