Mercedes Fernández-Redondo

67 papers B 24C 1Misc 4Unranked 37
YearRankTypeTitle / Venue / Authors
2011 — conf
Improving Boosting Methods by Generating Specific Training and Validation Sets.
ICONIP (2)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2011 — conf
Introducing Reordering Algorithms to Classic Well-Known Ensembles to Improve Their Performance.
ICONIP (2)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2011 — conf
Using Bagging and Cross-Validation to Improve Ensembles Based on Penalty Terms.
ICONIP (2)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2008 — conf
Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set.
ICANN (1)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2008 — conf
Decision Fusion on Boosting Ensembles.
ANNPR
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2008 — conf
New Results on Combination Methods for Boosting Ensembles.
ICANN (1)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2008 — conf
Researching on Multi-net Systems Based on Stacked Generalization.
ANNPR
Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
2008 B conf
Researching on combining boosting ensembles.
IJCNN
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2008 — conf
The Mixture of Neural Networks as Ensemble Combiner.
ANNPR
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
2007 — conf
Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks.
ICANN (1)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2007 B conf
Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm.
IJCNN
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2007 Misc conf
Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution.
IWANN
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2007 B conf
Mixing Aveboost and Conserboost to Improve Boosting Methods.
IJCNN
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2007 — conf
Stacking MF Networks to Combine the Outputs Provided by RBF Networks.
ICANN (1)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2006 — conf
Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble.
ICONIP (1)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2006 — conf
An Experimental Study on Training Radial Basis Functions by Gradient Descent.
ANNPR
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2006 — conf
Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization.
ANNPR
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2006 B conf
Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm.
IJCNN
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2006 B conf
Designing a New Multilayer Feedforward Modular Network for Classification Problems.
IJCNN
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2006 — conf
Gradient Descent and Radial Basis Functions.
ICIC (1)
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
2006 — conf
Improving Adaptive Boosting with
ICIC (1)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2006 — conf
Improving the Combination Module with a Neural Network.
ICIC (1)
Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
2006 — conf
Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition.
ICANN (1)
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
2006 — conf
Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture.
ICONIP (1)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2006 — conf
The Mixture of Neural Networks Adapted to Multilayer Feedforward Architecture.
ICIC (1)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2006 — conf
Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms.
ICONIP (1)
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
2006 B conf
Training Radial Basis Functions by Gradient Descent.
IJCNN
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
2005 B conf
A comparison of combination methods for ensembles of RBF networks.
IJCNN
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2005 B conf
A research on combination methods for ensembles of multilayer feedforward.
IJCNN
Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
2005 — conf
Combination Methods for Ensembles of MF.
ICANN (2)
Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
2005 — conf
Combination Methods for Ensembles of RBFs.
ICANN (2)
Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
2005 Misc conf
Ensembles of Multilayer Feedforward: Some New Results.
IWANN
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2005 — conf
New Results on Ensembles of Multilayer Feedforward.
ICANN (2)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2005 B conf
New experiments on ensembles of multilayer feedforward for classification problems.
IJCNN
Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
2004 — conf
Classification by Multilayer Feedforward Ensembles.
ISNN (1)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra
2004 — conf
Ensembles of RBFs Trained by Gradient Descent.
ISNN (1)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
2004 Misc conf
Experiments on Ensembles of Radial Basis Functions.
ICAISC
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
2004 — conf
First Experiments on Ensembles of Radial Basis Functions.
Multiple Classifier Systems
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
2004 — conf
Gradient Descent Training of Radial Basis Functions.
ISNN (1)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
2004 B conf
Hyperspectral image classification by ensembles of multilayer feedforward networks.
IJCNN
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra
2004 B conf
Multilayer Feedforward Ensembles for Classification Problems.
ICONIP
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra
2004 B conf
Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification.
KES
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
2004 B conf
Some Experiments on Training Radial Basis Functions by Gradient Descent.
ICONIP
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
2004 — conf
Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images.
ISNN (1)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
2004 Misc conf
Training Radial Basis Functions by Gradient Descent.
ICAISC
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
2003 B conf
A comparison of ensemble methods for multilayer feedforward networks.
IJCNN
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
2003 B conf
A new rule extraction algorithm based on interval arithmetic.
ESANN
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
2003 — conf
An Empirical Comparison of Training Algorithms for Radial Basis Functions.
IWANN (2)
Mamen Ortiz-Gómez, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
2003 B conf
Ensemble Methods for Multilayer Feedforward.
ESANN
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
2003 — conf
Ensemble Methods for Multilayer Feedforward: An Experimental Study.
IWANN (2)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
2003 B conf
Interval arithmetic inversion: a new rule extraction algorithm.
IJCNN
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
2003 C conf
Inversion of a Neural Network via Interval Arithmetic for Rule Extraction.
ICANN
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
2003 — conf
Rule Extraction from a Multilayer Feedforward Trained Network via Interval Arithmetic Inversion.
IWANN (1)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
2001 B conf
Coding the outputs of multilayer feedforward.
ESANN
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
2001 — —
Hacia un diseño óptimo de la arquitectura Multilayer Feedforward.
Mercedes Fernández-Redondo
2001 B conf
Weight initialization methods for multilayer feedforward.
ESANN
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
2000 — conf
A Comparison among Weight Initialization Methods for Multilayer Feedforward Networks.
IJCNN (4)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
2000 — conf
Diagnosis of Vocal and Voice Disorders by the Speech Signal.
IJCNN (4)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Pedro Gómez-Vilda
2000 B conf
Influence of weight-decay training in input selection methods.
ESANN
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
2000 — conf
On the Combination of Weight-Decay and Input Selection Methods.
IJCNN (1)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
1999 B conf
A comparison between two interval arithmetic learning algorithms.
IJCNN
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
1999 B conf
Generalization capability of one and two hidden layers.
IJCNN
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
1999 — conf
How to Select the Inputs for a Multilayer Feedforward Network by Using the Training Set.
IWANN (2)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
1999 B conf
Input selection by multilayer feedforward trained networks.
IJCNN
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
1999 B conf
Neural networks input selection by using the training set.
IJCNN
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
1999 — conf
On the selection of meaningful speech parameters used by a pathologic/non pathologic voice register classifier.
EUROSPEECH
Juan Ignacio Godino-Llorente, Santiago Aguilera-Navarro, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Pedro Gómez-Vilda
1999 — conf
Optimal Use of a Trained Neural Network for Input Selection.
IWANN (2)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa