Mercedes Fernández-Redondo

According to our database1, Mercedes Fernández-Redondo authored at least 60 papers between 1999 and 2011.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2011
Using Bagging and Cross-Validation to Improve Ensembles Based on Penalty Terms.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Improving Boosting Methods by Generating Specific Training and Validation Sets.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Introducing Reordering Algorithms to Classic Well-Known Ensembles to Improve Their Performance.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2008
Researching on combining boosting ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2008

New Results on Combination Methods for Boosting Ensembles.
Proceedings of the Artificial Neural Networks, 2008

Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set.
Proceedings of the Artificial Neural Networks, 2008

Decision Fusion on Boosting Ensembles.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

Researching on Multi-net Systems Based on Stacked Generalization.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

The Mixture of Neural Networks as Ensemble Combiner.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution.
Proceedings of the Computational and Ambient Intelligence, 2007

Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2007

Mixing Aveboost and Conserboost to Improve Boosting Methods.
Proceedings of the International Joint Conference on Neural Networks, 2007

Stacking MF Networks to Combine the Outputs Provided by RBF Networks.
Proceedings of the Artificial Neural Networks, 2007

Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks.
Proceedings of the Artificial Neural Networks, 2007

2006
Designing a New Multilayer Feedforward Modular Network for Classification Problems.
Proceedings of the International Joint Conference on Neural Networks, 2006

Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2006

Training Radial Basis Functions by Gradient Descent.
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.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

The Mixture of Neural Networks Adapted to Multilayer Feedforward Architecture.
Proceedings of the Intelligent Computing, 2006

Improving Adaptive Boosting with <i>k</i>-Cross-Fold Validation.
Proceedings of the Intelligent Computing, 2006

Improving the Combination Module with a Neural Network.
Proceedings of the Intelligent Computing, 2006

Gradient Descent and Radial Basis Functions.
Proceedings of the Intelligent Computing, 2006

Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition.
Proceedings of the Artificial Neural Networks, 2006

Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

An Experimental Study on Training Radial Basis Functions by Gradient Descent.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005
Ensembles of Multilayer Feedforward: Some New Results.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

New Results on Ensembles of Multilayer Feedforward.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Combination Methods for Ensembles of MF.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Combination Methods for Ensembles of RBFs.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
First Experiments on Ensembles of Radial Basis Functions.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images.
Proceedings of the Advances in Neural Networks, 2004

Ensembles of RBFs Trained by Gradient Descent.
Proceedings of the Advances in Neural Networks, 2004

Classification by Multilayer Feedforward Ensembles.
Proceedings of the Advances in Neural Networks, 2004

Gradient Descent Training of Radial Basis Functions.
Proceedings of the Advances in Neural Networks, 2004

Multilayer Feedforward Ensembles for Classification Problems.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Some Experiments on Training Radial Basis Functions by Gradient Descent.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Experiments on Ensembles of Radial Basis Functions.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Training Radial Basis Functions by Gradient Descent.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003
An Empirical Comparison of Training Algorithms for Radial Basis Functions.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Rule Extraction from a Multilayer Feedforward Trained Network via Interval Arithmetic Inversion.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Ensemble Methods for Multilayer Feedforward: An Experimental Study.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Inversion of a Neural Network via Interval Arithmetic for Rule Extraction.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Ensemble Methods for Multilayer Feedforward.
Proceedings of the ESANN 2003, 2003

A new rule extraction algorithm based on interval arithmetic.
Proceedings of the ESANN 2003, 2003

2001
Weight initialization methods for multilayer feedforward.
Proceedings of the ESANN 2001, 2001

Coding the outputs of multilayer feedforward.
Proceedings of the ESANN 2001, 2001

2000
Diagnosis of Vocal and Voice Disorders by the Speech Signal.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A Comparison among Weight Initialization Methods for Multilayer Feedforward Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

On the Combination of Weight-Decay and Input Selection Methods.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Influence of weight-decay training in input selection methods.
Proceedings of the ESANN 2000, 2000

1999
Optimal Use of a Trained Neural Network for Input Selection.
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.
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.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

Generalization capability of one and two hidden layers.
Proceedings of the International Joint Conference Neural Networks, 1999

Input selection by multilayer feedforward trained networks.
Proceedings of the International Joint Conference Neural Networks, 1999

A comparison between two interval arithmetic learning algorithms.
Proceedings of the International Joint Conference Neural Networks, 1999

Neural networks input selection by using the training set.
Proceedings of the International Joint Conference Neural Networks, 1999


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