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 | 147 | 2005 |
Information-theoretic feature selection for functional data classification V Gómez-Verdejo, M Verleysen, J Fleury Neurocomputing 72 (16-18), 3580-3589, 2009 | 80 | 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 | 72 | 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 | 59 | 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 | 53 | 2011 |
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 | 43 | 2018 |
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 | 42 | 2008 |
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 | 41 | 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 | 37 | 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 | 37 | 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 | 31 | 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 | 27 | 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 | 24 | 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 | 24 | 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 | 22 | 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 | 17 | 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 | 15 | 2011 |
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 | 13 | 2012 |
Sparse semi-supervised heterogeneous interbattery bayesian analysis C Sevilla-Salcedo, V Gomez-Verdejo, PM Olmos Pattern Recognition 120, 108141, 2021 | 12 | 2021 |
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 | 12 | 2016 |