My publications

2017

Muñoz-Romero, Sergio; Gómez-Verdejo, Vanessa; Parrado-Hernández, Emilio

A novel framework for parsimonious multivariate analysis Journal Article

Pattern Recognition, 2017.

Links | BibTeX | Tags: Canonical Correlation Analysis, Dimensionality Reduction, Feature Selection, Feature selection, Multivariate analysis, Orthonormalized Partial Least Squares

2016

Muñoz-Romero, Sergio; Gómez-Verdejo, Vanessa; García, Jerónimo Arenas

Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection Journal Article

IEEE Computational Intelligence Magazine, 11 (4), pp. 24 - 35, 2016.

Links | BibTeX | Tags: Adaptation models, Feature extraction, Feature selection, L21 regularization, Multivariate analysis, Principal Component Analysis, Sparsity

Garcia-Hinde, Óscar; Gomez-Verdejo, Vanessa; Martinez-Ramón, Manel; Salcedo-Sanz, Sancho; Fernandez, Silvia Jimenez; Casanova-Mateo, Carlos; Sanz-Justo, Julia

Feature Selection in Solar Radiation Prediction using Bootstrapped SVRs Incollection

IEEE World Congress on Computational Intelligence, Vancouver (Canada), 2016.

BibTeX | Tags:

Gómez-Verdejo, Vanessa; Parrado-Hernández, Emilio; Tohka, Jussi

Voxel importance based on sign consistency patterns in classifier ensembles Incollection

The 6th International Workshop on Pattern Recognition in Neuroimaging, Trento (Italy), 2016.

BibTeX | Tags:

2015

Mayhua-López, Efraín; Gómez-Verdejo, Vanessa; Figueiras-Vidal, Aníbal R

A new boosting design of Support Vector Machine classifiers Journal Article

Information Fusion, 25 , pp. 63–71, 2015.

BibTeX | Tags: Ensembles, L1 regularization, Linear programming, Real AdaBoost, Sparsity, Subsampling, Support Vector Machines

Muñoz-Romero, Sergio; Arenas-García, Jerónimo; Gómez-Verdejo, Vanessa

Sparse and kernel OPLS feature extraction based on eigenvalue problem solving Journal Article

Pattern Recognition, 48 (5), pp. 1797–1811, 2015.

BibTeX | Tags: Feature extraction, Kernel, L1 regularization, Orthonormalized Partial Least Squares, Sparsity

2014

Castro, Eduardo; Gómez-Verdejo, Vanessa; Martínez-Ramón, Manel; Kiehl, Kent A; Calhoun, Vince D

A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia Journal Article

NeuroImage, 87 , pp. 1–17, 2014.

BibTeX | Tags: Feature selection, fMRI, Independent Component Analysis, Magnetic Resonance Image, Multiple kernel learning, Schizophrenia, Support Vector Machines

Parrado-Hernández, Emilio; Gómez-Verdejo, Vanessa; Martínez-Ramón, Manel; Shawe-Taylor, John; Alonso, Pino; Pujol, Jesús; Menchón, José M; Cardoner, Narcis; Soriano-Mas, Carles

Discovering brain regions relevant to obsessive--compulsive disorder identification through bagging and transduction Journal Article

Medical Image Analysis, 18 (3), pp. 435–448, 2014.

BibTeX | Tags: Feature selection, Magnetic Resonance Image, Obsessive–Compulsive Disorder, sMRI, Transductive Learning, Voxel selection

Hinde, Oscar García; Parrado-Hernández, Emilio; Gómez-Verdejo, Vanessa; Martínez-Ramón, Manel; Soriano-Mas, Carles

Automatic Design of Neuromarkers for OCD Characterization Incollection

Machine Learning and Knowledge Discovery in Databases, pp. 450–465, Springer Berlin Heidelberg, 2014.

BibTeX | Tags:

2013

Munoz-Romero, Sergio; Arenas-Garcia, Jeronimo; Gomez-Verdejo, Vanessa

Iterative orthonormalized partial least squares with sparsity constraints Inproceedings

Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, pp. 3387–3391, IEEE 2013.

BibTeX | Tags:

2012

Gómez-Verdejo, Vanessa; Martínez-Ramón, Manel; Florensa-Vila, José; Oliviero, Antonio

Analysis of fMRI time series with mutual information Journal Article

Medical Image Analysis, 16 (2), pp. 451–458, 2012.

BibTeX | Tags: Brain Mapping, fMRI, Magnetic Resonance Image, Mutual Information, Statistical Parametric Mapping

Lázaro-Gredilla, Miguel; Gómez-Verdejo, Vanessa; Parrado-Hernández, Emilio

Low-cost model selection for SVMs using local features Journal Article

Engineering Applications of Artificial Intelligence, 25 (6), pp. 1203–1211, 2012.

BibTeX | Tags: Model selection, RBF kernels, Support Vector Machines

Mayhua-Lopez, Efrain; Gomez-Verdejo, Vanessa; Figueiras-Vidal, Anibal R

Real Adaboost with gate controlled fusion Journal Article

Neural Networks and Learning Systems, IEEE Transactions on, 23 (12), pp. 2003–2009, 2012.

BibTeX | Tags: Classification, Ensembles, Mixtures of Experts, Neural Networks, Real AdaBoost

Parrado-Hernández, Emilio; Gómez-Verdejo, Vanessa; Martinez-Ramon, Manel; Alonso, Pino; Pujol, Jesús; Menchón, José M; Cardoner, Narcís; Soriano-Mas, Carles

Identification of OCD-relevant brain areas through multivariate feature selection Incollection

Machine Learning and Interpretation in Neuroimaging, pp. 60–67, Springer Berlin Heidelberg, 2012.

BibTeX | Tags:

Martínez-Ramón, Manel; Gomes-Vilela, Mariléa De Cassia; Gómez-Verdejo, Vanessa; Oliviero, Antonio

fMRI brain mapping with kernels Inproceedings

Cognitive Information Processing (CIP), 2012 3rd International Workshop on, pp. 1–6, IEEE 2012.

BibTeX | Tags:

Parrado-Hernandez, Emilio; Gomez-Verdejo, Vanessa; Martinez-Ramon, Manel; Shawe-Taylor, John; Alonso, P; Pujol, J; Menchón, JM; Cardoner, N; Soriano-Mas, Carles

Voxel selection in MRI through bagging and conformal analysis: application to detection of obsessive compulsive disorder Inproceedings

Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on, pp. 49–52, IEEE 2012.

BibTeX | Tags:

2011

Gómez-Verdejo, Vanessa; Martínez-Ramón, Manel; Arenas-García, Jerónimo; Lázaro-Gredilla, Miguel; Molina-Bulla, Harold

Support vector machines with constraints for sparsity in the primal parameters Journal Article

Neural Networks, IEEE Transactions on, 22 (8), pp. 1269–1283, 2011.

BibTeX | Tags: Feature group selection, Feature selection, margin maximization, multiclass classification, Support Vector Machines

Gómez-Verdejo, Vanessa; Arenas-García, Jerónimo; Lázaro-Gredilla, Miguel; Navia-Vázquez, Ángel

Adaptive one-class support vector machine Journal Article

Signal Processing, IEEE Transactions on, 59 (6), pp. 2975–2981, 2011.

BibTeX | Tags: Adaptive methods, Novelty Detection, one-class SVM, online learning

2010

Gómez-Verdejo, Vanessa; Arenas-García, Jerónimo; Figueiras-Vidal, Aníbal R

Committees of Adaboost ensembles with modified emphasis functions Journal Article

Neurocomputing, 73 (7), pp. 1289–1292, 2010.

BibTeX | Tags: Boosting, Ensembles, Neural Networks, Real AdaBoost, Voting schemes

Mayhua-Lopez, Efrain; Gómez-Verdejo, Vanessa; Figueiras-Vidal, Aníbal R

Improving boosting performance with a local combination of learners. Inproceedings

IJCNN, pp. 1–7, 2010.

BibTeX | Tags:

2009

Gómez-Verdejo, Vanessa; Verleysen, Michel; Fleury, Jérôme

Information-theoretic feature selection for functional data classification Journal Article

Neurocomputing, 72 (16), pp. 3580–3589, 2009.

BibTeX | Tags: Classification, Feature selection, Mutual Information

Muñoz-Romero, Sergio; Arenas-García, Jerónimo; Gómez-Verdejo, Vanessa

Real Adaboost Ensembles with Emphasized Subsampling Incollection

Bio-Inspired Systems: Computational and Ambient Intelligence, pp. 440–447, Springer Berlin Heidelberg, 2009.

BibTeX | Tags:

2008

Gómez-Verdejo, Vanessa; Arenas-García, Jerónimo; Figueiras-Vidal, Aníbal R

A dynamically adjusted mixed emphasis method for building boosting ensembles Journal Article

Neural Networks, IEEE Transactions on, 19 (1), pp. 3–17, 2008.

BibTeX | Tags: Boosting, dynamic parameter selection, emphasis function, Real AdaBoost

2007

Arenas-García, Jerónimo; Gómez-Verdejo, Vanessa; Figueiras-Vidal, Aníbal R

Fast evaluation of neural networks via confidence rating Journal Article

Neurocomputing, 70 (16), pp. 2775–2782, 2007.

BibTeX | Tags: Ensembles, Fast classification, Neural Networks, Real AdaBoost

Gómez-Verdejo, Vanessa; Verleysen, Michel; Fleury, Jérôme

Information-theoretic feature selection for the classification of hysteresis curves Incollection

Computational and Ambient Intelligence, pp. 522–529, Springer Berlin Heidelberg, 2007.

BibTeX | Tags:

2006

Gómez-Verdejo, Vanessa; Ortega-Moral, Manuel; Arenas-García, Jerónimo; Figueiras-Vidal, Aníbal R

Boosting by weighting critical and erroneous samples Journal Article

Neurocomputing, 69 (7), pp. 679–685, 2006.

BibTeX | Tags: Boosting, emphasis function, Real AdaBoost

2005

Arenas-García, Jerónimo; Gómez-Verdejo, Vanessa; Figueiras-Vidal, Aníbal R

New algorithms for improved adaptive convex combination of LMS transversal filters Journal Article

Instrumentation and Measurement, IEEE Transactions on, 54 (6), pp. 2239–2249, 2005.

BibTeX | Tags: Adaptive filters, Adaptive methods, Convergence, Filtering algorithms, Least Squares, Noise cancellation, Robustness, Signal Processing, Transversal filters

Arenas-García, Jerónimo; Gómez-Verdejo, Vanessa; Muñoz-Romero, Sergio; Ortega-Moral, Manuel; Figueiras-Vidal, Aníbal R

Fast classification with neural networks via confidence rating Incollection

Computational Intelligence and Bioinspired Systems, pp. 622–629, Springer Berlin Heidelberg, 2005.

BibTeX | Tags: