Vanessa Gómez Verdejo
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New algorithms for improved adaptive convex combination of LMS transversal filters
J Arenas-Garcia, V Gomez-Verdejo, AR Figueiras-Vidal
IEEE Transactions on Instrumentation and measurement 54 (6), 2239-2249, 2005
Information-theoretic feature selection for functional data classification
V Gómez-Verdejo, M Verleysen, J Fleury
Neurocomputing 72 (16-18), 3580-3589, 2009
A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: application to schizophrenia
E Castro, V Gómez-Verdejo, M Martínez-Ramón, KA Kiehl, VD Calhoun
NeuroImage 87, 1-17, 2014
Boosting by weighting critical and erroneous samples
V Gómez-Verdejo, M Ortega-Moral, J Arenas-García, AR Figueiras-Vidal
Neurocomputing 69 (7-9), 679-685, 2006
Adaptive one-class support vector machine
V Gómez-Verdejo, J Arenas-García, M Lazaro-Gredilla, Á Navia-Vazquez
IEEE Transactions on Signal Processing 59 (6), 2975-2981, 2011
A dynamically adjusted mixed emphasis method for building boosting ensembles
V Gomez-Verdejo, J Arenas-García, AR Figueiras-Vidal
IEEE Transactions on Neural Networks 19 (1), 3-17, 2008
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting
O García-Hinde, G Terrén-Serrano, MÁ Hombrados-Herrera, ...
Engineering Applications of Artificial Intelligence 69, 157-167, 2018
Comparison of feature representations in MRI-based MCI-to-AD conversion prediction
M Gomez-Sancho, J Tohka, V Gomez-Verdejo, ...
Magnetic resonance imaging 50, 84-95, 2018
Discovering brain regions relevant to obsessive–compulsive disorder identification through bagging and transduction
E Parrado-Hernández, V Gómez-Verdejo, M Martínez-Ramón, ...
Medical image analysis 18 (3), 435-448, 2014
Separate-variable adaptive combination of LMS adaptive filters for plant identification
J Arenas-García, V Gomez-Verdejo, M Martínez-Ramón, ...
2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat …, 2003
Multiple plant identifier via adaptive LMS convex combination
J Arenas-García, M Martinez-Ramon, V Gómez-Verdejo, ...
IEEE International Symposium on Intelligent Signal Processing, 2003, 137-142, 2003
Sign-consistency based variable importance for machine learning in brain imaging
V Gómez-Verdejo, E Parrado-Hernández, J Tohka, ...
Neuroinformatics 17 (4), 593-609, 2019
Feature selection in solar radiation prediction using bootstrapped SVRs
O Garcia-Hinde, V Gómez-Verdejo, M Martínez-Ramón, ...
2016 IEEE Congress on Evolutionary Computation (CEC), 3638-3645, 2016
A new boosting design of Support Vector Machine classifiers
E Mayhua-López, V Gómez-Verdejo, AR Figueiras-Vidal
Information Fusion 25, 63-71, 2015
Analysis of fMRI time series with mutual information
V Gómez-Verdejo, M Martínez-Ramón, J Florensa-Vila, A Oliviero
Medical image analysis 16 (2), 451-458, 2012
Sparse and kernel OPLS feature extraction based on eigenvalue problem solving
S Muñoz-Romero, J Arenas-García, V Gómez-Verdejo
Pattern Recognition 48 (5), 1797-1811, 2015
Support vector machines with constraints for sparsity in the primal parameters
V Gómez-Verdejo, M Martínez-Ramón, J Arenas-García, ...
IEEE transactions on neural networks 22 (8), 1269-1283, 2011
Sparse semi-supervised heterogeneous interbattery bayesian analysis
C Sevilla-Salcedo, V Gomez-Verdejo, PM Olmos
Pattern Recognition 120, 108141, 2021
Real Adaboost with gate controlled fusion
E Mayhua-Lopez, V Gomez-Verdejo, AR Figueiras-Vidal
IEEE transactions on neural networks and learning systems 23 (12), 2003-2009, 2012
Regularized multivariate analysis framework for interpretable high-dimensional variable selection
S Munoz-Romero, V Gomez-Verdejo, J Arenas-Garcia
IEEE Computational Intelligence Magazine 11 (4), 24-35, 2016
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