Carlos Hernández-Espinosa

Publication Activity (10 Years)

Years Active: 1998-2011
Publications (10 Years): 0

Publications

Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Improving Boosting Methods by Generating Specific Training and Validation Sets. ICONIP (2) (2011)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Using Bagging and Cross-Validation to Improve Ensembles Based on Penalty Terms. ICONIP (2) (2011)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Introducing Reordering Algorithms to Classic Well-Known Ensembles to Improve Their Performance. ICONIP (2) (2011)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Researching on combining boosting ensembles. IJCNN (2008)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set. ICANN (1) (2008)
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
The Mixture of Neural Networks as Ensemble Combiner. ANNPR (2008)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Decision Fusion on Boosting Ensembles. ANNPR (2008)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
New Results on Combination Methods for Boosting Ensembles. ICANN (1) (2008)
Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
Researching on Multi-net Systems Based on Stacked Generalization. ANNPR (2008)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Stacking MF Networks to Combine the Outputs Provided by RBF Networks. ICANN (1) (2007)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution. IWANN (2007)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Mixing Aveboost and Conserboost to Improve Boosting Methods. IJCNN (2007)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks. ICANN (1) (2007)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm. IJCNN (2007)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
-Cross-Fold Validation. ICIC (1) (2006)
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms. ICONIP (1) (2006)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble. ICONIP (1) (2006)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization. ANNPR (2006)
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
Training Radial Basis Functions by Gradient Descent. IJCNN (2006)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
The Mixture of Neural Networks Adapted to Multilayer Feedforward Architecture. ICIC (1) (2006)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture. ICONIP (1) (2006)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm. IJCNN (2006)
Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
Improving the Combination Module with a Neural Network. ICIC (1) (2006)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Designing a New Multilayer Feedforward Modular Network for Classification Problems. IJCNN (2006)
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition. ICANN (1) (2006)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
An Experimental Study on Training Radial Basis Functions by Gradient Descent. ANNPR (2006)
Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
Gradient Descent and Radial Basis Functions. ICIC (1) (2006)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
Ensembles of Multilayer Feedforward: Some New Results. IWANN (2005)
Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
Combination Methods for Ensembles of RBFs. ICANN (2) (2005)
Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
New Results on Ensembles of Multilayer Feedforward. ICANN (2) (2005)
Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
Combination Methods for Ensembles of MF. ICANN (2) (2005)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
Ensembles of RBFs Trained by Gradient Descent. ISNN (1) (2004)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
Some Experiments on Training Radial Basis Functions by Gradient Descent. ICONIP (2004)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images. ISNN (1) (2004)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification. KES (2004)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
Training Radial Basis Functions by Gradient Descent. ICAISC (2004)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra
Multilayer Feedforward Ensembles for Classification Problems. ICONIP (2004)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
First Experiments on Ensembles of Radial Basis Functions. Multiple Classifier Systems (2004)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
Gradient Descent Training of Radial Basis Functions. ISNN (1) (2004)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
Experiments on Ensembles of Radial Basis Functions. ICAISC (2004)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra
Classification by Multilayer Feedforward Ensembles. ISNN (1) (2004)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
A new rule extraction algorithm based on interval arithmetic. ESANN (2003)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
Ensemble Methods for Multilayer Feedforward. ESANN (2003)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
Ensemble Methods for Multilayer Feedforward: An Experimental Study. IWANN (2) (2003)
Mamen Ortiz-Gómez, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
An Empirical Comparison of Training Algorithms for Radial Basis Functions. IWANN (2) (2003)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
Inversion of a Neural Network via Interval Arithmetic for Rule Extraction. ICANN (2003)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez
Rule Extraction from a Multilayer Feedforward Trained Network via Interval Arithmetic Inversion. IWANN (1) (2003)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
Weight initialization methods for multilayer feedforward. ESANN (2001)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
Coding the outputs of multilayer feedforward. ESANN (2001)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
On the Combination of Weight-Decay and Input Selection Methods. IJCNN (1) (2000)
Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Pedro Gómez Vilda
Diagnosis of Vocal and Voice Disorders by the Speech Signal. IJCNN (4) (2000)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
A Comparison among Weight Initialization Methods for Multilayer Feedforward Networks. IJCNN (4) (2000)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
Influence of weight-decay training in input selection methods. ESANN (2000)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
Input selection by multilayer feedforward trained networks. IJCNN (1999)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
How to Select the Inputs for a Multilayer Feedforward Network by Using the Training Set. IWANN (2) (1999)
Juan Ignacio Godino-Llorente, Santiago Aguilera-Navarro, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Pedro Gómez Vilda
On the selection of meaningful speech parameters used by a pathologic/non pathologic voice register classifier. EUROSPEECH (1999)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
Generalization capability of one and two hidden layers. IJCNN (1999)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
Optimal Use of a Trained Neural Network for Input Selection. IWANN (2) (1999)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
Neural networks input selection by using the training set. IJCNN (1999)
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
A comparison between two interval arithmetic learning algorithms. IJCNN (1999)
Mercedes Fernández, Carlos Hernández-Espinosa
On the error function of interval arithmetic backpropagation. ESANN (1998)
Mercedes Fernández, Carlos Hernández-Espinosa
One or two hidden layers perceptrons. ESANN (1998)