Vanessa Gómez Verdejo
TítuloCitado porAño
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
1192005
Information-theoretic feature selection for functional data classification
V Gómez-Verdejo, M Verleysen, J Fleury
Neurocomputing 72 (16-18), 3580-3589, 2009
672009
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
492014
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
492006
Adaptive one-class support vector machine
V Gómez-Verdejo, J Arenas-García, M Lázaro-Gredilla, Á Navia-Vázquez
IEEE Transactions on Signal Processing 59 (6), 2975-2981, 2011
352011
A dynamically adjusted mixed emphasis method for building boosting ensembles
V Gómez-Verdejo, J Arenas-García, AR Figueiras-Vidal
IEEE transactions on neural networks 19 (1), 3-17, 2008
342008
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
302003
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
252003
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
212014
A new boosting design of Support Vector Machine classifiers
E Mayhua-López, V Gómez-Verdejo, AR Figueiras-Vidal
Information Fusion 25, 63-71, 2015
142015
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
142011
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
132012
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
132012
Committees of Adaboost ensembles with modified emphasis functions
V Gómez-Verdejo, J Arenas-García, AR Figueiras-Vidal
Neurocomputing 73 (7-9), 1289-1292, 2010
102010
Information-theoretic feature selection for the classification of hysteresis curves
V Gómez-Verdejo, M Verleysen, J Fleury
International work-conference on artificial neural networks, 522-529, 2007
102007
Comparison of feature representations in MRI-based MCI-to-AD conversion prediction
M Gómez-Sancho, J Tohka, V Gomez-Verdejo, ...
Magnetic resonance imaging 50, 84-95, 2018
92018
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
92015
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
82016
Low-cost model selection for SVMs using local features
M LáZaro-Gredilla, V GóMez-Verdejo, E Parrado-HernáNdez
Engineering Applications of Artificial Intelligence 25 (6), 1203-1211, 2012
82012
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
52016
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Artículos 1–20