My publications

2020

Vanessa Gómez-Verdejo Óscar García-Hinde, Manel Martínez-Ramón

Forecast-informed power load profiling: A novel approach Journal Article

In: Engineering Applications of Artificial Intelligence, 96 , 2020.

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Vanessa Gómez-Verdejo Carlos Sevilla-Salcedo, Jussi Tohka

Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging Journal Article

In: Neuroinformatics, 18 , pp. 641–659, 2020.

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2019

Emilio Parrado-Hernandez Vanessa Gomez-Verdejo, Jussi Tohka

Sign-Consistency Based Variable Importance For Machine Learning In Brain Imaging Journal Article

In: Neuroinformatics , 17 (4), pp. 593-609, 2019.

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2018

García-Hinde, Óscar; Terrén-Serrano, Guillermo; Hombrados-Herrera, Miguel Ángel; Gómez-Verdejo, Vanessa; Jiménez-Fernández, Silvia; Casanova-Mateo, Carlos; Sanz-Justo, Julia; Martínez-Ramón, Manel; Salcedo-Sanz, Sancho

Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting Journal Article

In: Engineering Applications of Artificial Intelligence, 69 , pp. 157-167, 2018.

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Gomez-Sancho, Marta; Tohka, Jussi; Gomez-Verdejo, Vanessa

Comparison of feature representations in MRI-based MCI-to-AD conversion prediction Journal Article

In: Magnetic Resonance Imaging, 10 (50), pp. 84-95, 2018.

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2017

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

Non-Negative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction Journal Article

In: IEEE Transactions on Multimedia, pp. 1-1, 2017.

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

A novel framework for parsimonious multivariate analysis Journal Article

In: Pattern Recognition, 71 , pp. 173-186, 2017.

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2016

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

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

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

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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

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

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

Voxel importance based on sign consistency patterns in classifier ensembles Incollection

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

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2015

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

A new boosting design of Support Vector Machine classifiers Journal Article

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

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

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

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

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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

In: NeuroImage, 87 , pp. 1–17, 2014.

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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

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

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

Automatic Design of Neuromarkers for OCD Characterization Incollection

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

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2013

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

Iterative orthonormalized partial least squares with sparsity constraints Inproceedings

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

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2012

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

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

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

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

Analysis of fMRI time series with mutual information Journal Article

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

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

Real Adaboost with gate controlled fusion Journal Article

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

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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

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

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

fMRI brain mapping with kernels Inproceedings

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

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Parrado-Hernandez, Emilio; Gomez-Verdejo, Vanessa; Martinez-Ramon, Manel; Shawe-Taylor, John; Alonso, Pino; Pujol, Jesús; Menchón, José M; Cardoner, Narcis; Soriano-Mas, Carles

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

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

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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

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

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

Adaptive one-class support vector machine Journal Article

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

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2010

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

Improving boosting performance with a local combination of learners. Inproceedings

In: IJCNN, pp. 1–7, 2010.

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

Committees of Adaboost ensembles with modified emphasis functions Journal Article

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

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2009

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

Real Adaboost Ensembles with Emphasized Subsampling Incollection

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

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

Information-theoretic feature selection for functional data classification Journal Article

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

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2008

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

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

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

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2007

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

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

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

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

Fast evaluation of neural networks via confidence rating Journal Article

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

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2006

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

Boosting by weighting critical and erroneous samples Journal Article

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

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2005

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

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

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

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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

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

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