Vanessa Gómez-Verdejo

68 papers B 6Misc 3Journal 49Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian Integration of Nonlinear Incomplete Clinical Data.
CoRR
Lucía González-Zamorano, Nuria Balbás-Esteban, Vanessa Gómez-Verdejo, Albert Belenguer-Llorens, Carlos Sevilla-Salcedo
2026 J jnl
Interpretable generative and discriminative learning for multimodal and incomplete clinical data.
Inf. Fusion
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Janaina Mourão Miranda, Vanessa Gómez-Verdejo
2025 J jnl
AI-driven Generation of MALDI-TOF MS for Microbial Characterization.
CoRR
Lucía Schmidt-Santiago, David Rodríguez-Temporal, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo
2025 J jnl
Addressing wide-data studies of gene expression microarrays with the Relevance Feature and Vector Machine.
Comput. Biol. Medicine
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo
2025 J jnl
Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS.
BMC Bioinform.
Mario Blázquez-Sánchez, Alejandro Guerrero-López, Ana Candela, Albert Belenguer-Llorens, José Miguel Moreno, Carlos Sevilla-Salcedo, María Sánchez-Cueto, Manuel J. Arroyo, Mark Gutiérrez-Pareja, Vanessa Gómez-Verdejo, Pablo M. Olmos, Luis Mancera, Patricia Muñoz, Mercedes Marín, Luis Alcalá, David Rodríguez-Temporal, Belén Rodríguez-Sánchez
2025 J jnl
Interpretable Generative and Discriminative Learning for Multimodal and Incomplete Clinical Data.
CoRR
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Janaina Mourão Miranda, Vanessa Gómez-Verdejo
2025 J jnl
Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification.
Eng. Appl. Artif. Intell.
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Jussi Tohka, Vanessa Gómez-Verdejo
2024 J jnl
Adaptive Sparse Gaussian Process.
IEEE Trans. Neural Networks Learn. Syst.
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Manel Martínez-Ramón
2024 J jnl
Bayesian learning of feature spaces for multitask regression.
Neural Networks
Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
2024 J jnl
The Relevance Feature and Vector Machine for health applications.
CoRR
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo
2024 J jnl
Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification.
CoRR
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Jussi Tohka, Vanessa Gómez-Verdejo
2023 J jnl
Adaptive Sparse Gaussian Process.
CoRR
Vanessa Gómez-Verdejo, Manel Martínez-Ramón
2023 J jnl
Automatic antibiotic resistance prediction in
Eng. Appl. Artif. Intell.
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
2022 J jnl
A conditional one-output likelihood formulation for multitask Gaussian processes.
Neurocomputing
Oscar García Hinde, Manel Martínez-Ramón, Vanessa Gómez-Verdejo
2022 J jnl
Bayesian learning of feature spaces for multitasks problems.
CoRR
Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
2022 J jnl
Bayesian sparse factor analysis with kernelized observations.
Neurocomputing
Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo
2022 J jnl
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease.
CoRR
Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
2022 J jnl
Multi-task longitudinal forecasting with missing values on Alzheimer's disease.
Comput. Methods Programs Biomed.
Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
2022 J jnl
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space.
CoRR
Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
2021 J jnl
Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction.
CoRR
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
2021 J jnl
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection.
CoRR
Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Jerónimo Arenas-García
2021 J jnl
Sparse semi-supervised heterogeneous interbattery bayesian analysis.
Pattern Recognit.
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
2020 J jnl
A conditional one-output likelihood formulation for multitask Gaussian processes.
CoRR
Vanessa Gómez-Verdejo, Óscar García Hinde, Manel Martínez-Ramón
2020 J jnl
Bayesian Sparse Factor Analysis with Kernelized Observations.
CoRR
Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo
2020 J jnl
Forecast-informed power load profiling: A novel approach.
Eng. Appl. Artif. Intell.
Óscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón
2020 J jnl
Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging.
Neuroinformatics
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Jussi Tohka
2020 J jnl
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis.
CoRR
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
2019 J jnl
Corpus Viewer: NLP and ML-based Platform for Public Policy Making and Implementation.
Proces. del Leng. Natural
David Pérez-Fernández, Jerónimo Arenas-García, Doaa Samy, Antonio Padilla-Soler, Vanessa Gómez-Verdejo
2019 J jnl
Data Selection for Short Term load forecasting.
CoRR
Nestor Pereira, Miguel Ángel Hombrados-Herrera, Vanessa Gómez-Verdejo, Andrea A. Mammoli, Manel Martínez-Ramón
2019 J jnl
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging.
Neuroinformatics
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka
2018 J jnl
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting.
Eng. Appl. Artif. Intell.
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
2018 J jnl
Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction.
IEEE Trans. Multim.
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
2017 J jnl
A novel framework for parsimonious multivariate analysis.
Pattern Recognit.
Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
2016 B conf
Feature selection in solar radiation prediction using bootstrapped SVRs.
CEC
Oscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carlos Casanova-Mateo, Julia Sanz-Justo, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz
2016 J jnl
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection.
IEEE Comput. Intell. Mag.
Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Jerónimo Arenas-García
2016 — conf
Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI.
PRNI
Vanessa Gómez-Verdejo, Jussi Tohka
2015 J jnl
A new boosting design of Support Vector Machine classifiers.
Inf. Fusion
Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2015 J jnl
Sparse and kernel OPLS feature extraction based on eigenvalue problem solving.
Pattern Recognit.
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
2014 J jnl
A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia.
NeuroImage
Eduardo Castro, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Kent A. Kiehl, Vince D. Calhoun
2014 — conf
Automatic Design of Neuromarkers for OCD Characterization.
ECML/PKDD (1)
Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas
2014 J jnl
Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction.
Medical Image Anal.
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas
2013 Misc conf
Iterative orthonormalized partial least squares with sparsity constraints.
ICASSP
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
2012 J jnl
Analysis of fMRI time series with mutual information.
Medical Image Anal.
Vanessa Gómez-Verdejo, Manel Martínez-Ramón, José Florensa-Vila, Antonio Oliviero
2012 J jnl
Low-cost model selection for SVMs using local features.
Eng. Appl. Artif. Intell.
Miguel Lázaro-Gredilla, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
2012 J jnl
Real AdaBoost With Gate Controlled Fusion.
IEEE Trans. Neural Networks Learn. Syst.
Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2012 — conf
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder.
PRNI
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas
2012 — conf
fMRI brain mapping with kernels.
CIP
Manel Martínez-Ramón, Marilea de Cassia Gomes-Vilela, Vanessa Gómez-Verdejo, Antonio Oliviero
2011 J jnl
Adaptive One-Class Support Vector Machine.
IEEE Trans. Signal Process.
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Ángel Navia-Vázquez
2011 — conf
Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection.
MLINI
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas
2011 J jnl
Support Vector Machines With Constraints for Sparsity in the Primal Parameters.
IEEE Trans. Neural Networks
Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Harold Y. Molina-Bulla
2010 J jnl
Committees of Adaboost ensembles with modified emphasis functions.
Neurocomputing
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2010 B conf
Improving boosting performance with a local combination of learners.
IJCNN
Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2010 — conf
UC3M AT TRECVID 2010 Semantic Indexing Task.
TRECVID
Iván González-Díaz, Vanessa Gómez-Verdejo, Fernando Díaz-de-María, Jerónimo Arenas-García
2009 J jnl
Information-theoretic feature selection for functional data classification.
Neurocomputing
Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury
2009 — conf
Real Adaboost Ensembles with Emphasized Subsampling.
IWANN (1)
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo
2009 — conf
UC3M AT TRECVID 2009.
TRECVID
Iván González-Díaz, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Fernando Díaz-de-María, Jerónimo Arenas-García
2008 J jnl
A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles.
IEEE Trans. Neural Networks
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2008 — conf
UC3M High Level Feature Extraction at TRECVID 2008.
TRECVID
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
2007 J jnl
Fast evaluation of neural networks via confidence rating.
Neurocomputing
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2007 Misc conf
Information-Theoretic Feature Selection for the Classification of Hysteresis Curves.
IWANN
Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury
2006 J jnl
Boosting by weighting critical and erroneous samples.
Neurocomputing
Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2006 B conf
Designing neural network committees by combining boosting ensembles.
ESANN
Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2005 B conf
An On-line Fisher Discriminant.
ESANN
Manuel Ortega-Moral, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2005 B conf
Boosting by weighting boundary and erroneous samples.
ESANN
Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2005 B conf
Designing RBF classifiers for weighted boosting.
IJCNN
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Manuel Ortega-Moral, Aníbal R. Figueiras-Vidal
2005 Misc conf
Fast Classification with Neural Networks via Confidence Rating.
IWANN
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Sergio Muñoz-Romero, Manuel Ortega-Moral, Aníbal R. Figueiras-Vidal
2005 J jnl
New algorithms for improved adaptive convex combination of LMS transversal filters.
IEEE Trans. Instrum. Meas.
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2003 — conf
Separate-variable adaptive combination of LMS adaptive filters for plant identification.
NNSP
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal