Vanessa Gómez-Verdejo

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 26

Top Topics

Feature Selection

Multiple Kernel

Gaussian Process

Factor Analysis

Top Venues

Pattern Recognit.

Eng. Appl. Artif. Intell.

Neuroinformatics

Publications

Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo
The Relevance Feature and Vector Machine for health applications. CoRR (2024)
Vanessa Gómez-Verdejo, Manel Martínez-Ramón
Adaptive Sparse Gaussian Process. CoRR (2023)
Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Ana Candela, Marta Hernández-García, Emilia Cercenado, Pablo M. Olmos, Rafael Cantón, Patricia Muñoz, Vanessa Gómez-Verdejo, Rosa del Campo, Belén Rodríguez-Sánchez
based on MALDI-TOF mass spectra. Eng. Appl. Artif. Intell. 118 (2023)
Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo
Bayesian sparse factor analysis with kernelized observations. Neurocomputing 490 (2022)
Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease. CoRR (2022)
Oscar García Hinde, Manel Martínez-Ramón, Vanessa Gómez-Verdejo
A conditional one-output likelihood formulation for multitask Gaussian processes. Neurocomputing 509 (2022)
Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
Multi-task longitudinal forecasting with missing values on Alzheimer's disease. Comput. Methods Programs Biomed. 226 (2022)
Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. CoRR (2022)
Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
Bayesian learning of feature spaces for multitasks problems. CoRR (2022)
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction. CoRR (2021)
Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Jerónimo Arenas-García
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection. CoRR (2021)
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
Sparse semi-supervised heterogeneous interbattery bayesian analysis. Pattern Recognit. 120 (2021)
Vanessa Gómez-Verdejo, Óscar García Hinde, Manel Martínez-Ramón
A conditional one-output likelihood formulation for multitask Gaussian processes. CoRR (2020)
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis. CoRR (2020)
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Jussi Tohka
Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging. Neuroinformatics 18 (4) (2020)
Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo
Bayesian Sparse Factor Analysis with Kernelized Observations. CoRR (2020)
Óscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón
Forecast-informed power load profiling: A novel approach. Eng. Appl. Artif. Intell. 96 (2020)
David Pérez-Fernández, Jerónimo Arenas-García, Doaa Samy, Antonio Padilla-Soler, Vanessa Gómez-Verdejo
Corpus Viewer: NLP and ML-based Platform for Public Policy Making and Implementation. Proces. del Leng. Natural 63 (2019)
Nestor Pereira, Miguel Ángel Hombrados-Herrera, Vanessa Gómez-Verdejo, Andrea A. Mammoli, Manel Martínez-Ramón
Data Selection for Short Term load forecasting. CoRR (2019)
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. Neuroinformatics 17 (4) (2019)
Oscar García Hinde, Guillermo Terrén-Serrano, M. Á. Hombrados-Herrera, Vanessa Gómez-Verdejo, Silvia Jiménez-Fernández, Carlos Casanova-Mateo, Julia Sanz-Justo, Manel Martínez-Ramón, Sancho Salcedo-Sanz
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting. Eng. Appl. Artif. Intell. 69 (2018)
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction. IEEE Trans. Multim. 20 (7) (2018)
Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
A novel framework for parsimonious multivariate analysis. Pattern Recognit. 71 (2017)
Vanessa Gómez-Verdejo, Jussi Tohka
Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI. PRNI (2016)
Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Jerónimo Arenas-García
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection. IEEE Comput. Intell. Mag. 11 (4) (2016)
Oscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carlos Casanova-Mateo, Julia Sanz-Justo, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz
Feature selection in solar radiation prediction using bootstrapped SVRs. CEC (2016)
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
Sparse and kernel OPLS feature extraction based on eigenvalue problem solving. Pattern Recognit. 48 (5) (2015)
Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
A new boosting design of Support Vector Machine classifiers. Inf. Fusion 25 (2015)
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José M. Menchón, Narcís Cardoner, Carles Soriano-Mas
Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction. Medical Image Anal. 18 (3) (2014)
Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas
Automatic Design of Neuromarkers for OCD Characterization. ECML/PKDD (1) (2014)
Eduardo Castro, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Kent A. Kiehl, Vince D. Calhoun
A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia. NeuroImage 87 (2014)
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
Iterative orthonormalized partial least squares with sparsity constraints. ICASSP (2013)
Miguel Lázaro-Gredilla, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
Low-cost model selection for SVMs using local features. Eng. Appl. Artif. Intell. 25 (6) (2012)
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José M. Menchón, Narcís Cardoner, Carles Soriano-Mas
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. PRNI (2012)
Vanessa Gómez-Verdejo, Manel Martínez-Ramón, José Florensa-Vila, Antonio Oliviero
Analysis of fMRI time series with mutual information. Medical Image Anal. 16 (2) (2012)
Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
Real AdaBoost With Gate Controlled Fusion. IEEE Trans. Neural Networks Learn. Syst. 23 (12) (2012)
Manel Martínez-Ramón, Marilea de Cassia Gomes-Vilela, Vanessa Gómez-Verdejo, Antonio Oliviero
fMRI brain mapping with kernels. CIP (2012)
Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Harold Y. Molina-Bulla
Support Vector Machines With Constraints for Sparsity in the Primal Parameters. IEEE Trans. Neural Networks 22 (8) (2011)
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Pino Alonso, Jesús Pujol, José M. Menchón, Narcís Cardoner, Carles Soriano-Mas
Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection. MLINI (2011)
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Ángel Navia-Vázquez
Adaptive One-Class Support Vector Machine. IEEE Trans. Signal Process. 59 (6) (2011)
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
Committees of Adaboost ensembles with modified emphasis functions. Neurocomputing 73 (7-9) (2010)
Iván González-Díaz, Vanessa Gómez-Verdejo, Fernando Díaz-de-María, Jerónimo Arenas-García
UC3M AT TRECVID 2010 Semantic Indexing Task. TRECVID (2010)
Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
Improving boosting performance with a local combination of learners. IJCNN (2010)
Iván González-Díaz, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Fernando Díaz-de-María, Jerónimo Arenas-García
UC3M AT TRECVID 2009. TRECVID (2009)
Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury
Information-theoretic feature selection for functional data classification. Neurocomputing 72 (16-18) (2009)
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
Real Adaboost Ensembles with Emphasized Subsampling. IWANN (1) (2009)
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles. IEEE Trans. Neural Networks 19 (1) (2008)
Iván González-Díaz, Dario García-García, Rubén Solera-Ureña, Jaisiel Madrid-Sánchez, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Fernando Díaz-de-María, Jerónimo Arenas-García
UC3M High Level Feature Extraction at TRECVID 2008. TRECVID (2008)
Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury
Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. IWANN (2007)
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
Fast evaluation of neural networks via confidence rating. Neurocomputing 70 (16-18) (2007)
Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
Designing neural network committees by combining boosting ensembles. ESANN (2006)
Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
Boosting by weighting critical and erroneous samples. Neurocomputing 69 (7-9) (2006)
Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
Boosting by weighting boundary and erroneous samples. ESANN (2005)
Manuel Ortega-Moral, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
An On-line Fisher Discriminant. ESANN (2005)
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
New algorithms for improved adaptive convex combination of LMS transversal filters. IEEE Trans. Instrum. Meas. 54 (6) (2005)
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Sergio Muñoz-Romero, Manuel Ortega-Moral, Aníbal R. Figueiras-Vidal
Fast Classification with Neural Networks via Confidence Rating. IWANN (2005)
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal
Separate-variable adaptive combination of LMS adaptive filters for plant identification. NNSP (2003)