Separate-variable adaptive combination of LMS adaptive filters for plant identification. - Jerónimo Arenas-García; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Aníbal R. Figueiras-Vidal (NNSP, 2003)

Boosting by weighting boundary and erroneous samples. - Vanessa Gómez-Verdejo; Manuel Ortega-Moral; Jerónimo Arenas-García; Aníbal R. Figueiras-Vidal (ESANN, 2005)

An On-line Fisher Discriminant. - Manuel Ortega-Moral; Vanessa Gómez-Verdejo; Jerónimo Arenas-García; Aníbal R. Figueiras-Vidal (ESANN, 2005)

Designing RBF classifiers for weighted boosting. - Vanessa Gómez-Verdejo; Jerónimo Arenas-García; Manuel Ortega-Moral; Aníbal R. Figueiras-Vidal (IJCNN, 2005)

Fast Classification with Neural Networks via Confidence Rating. - Jerónimo Arenas-García; Vanessa Gómez-Verdejo; Sergio Muñoz-Romero; Manuel Ortega-Moral; Aníbal R. Figueiras-Vidal (IWANN, 2005)

New algorithms for improved adaptive convex combination of LMS transversal filters. - Jerónimo Arenas-García; Vanessa Gómez-Verdejo; Aníbal R. Figueiras-Vidal (IEEE Trans. Instrum. Meas., 2005)

Designing neural network committees by combining boosting ensembles. - Vanessa Gómez-Verdejo; Aníbal R. Figueiras-Vidal (ESANN, 2006)

Boosting by weighting critical and erroneous samples. - Vanessa Gómez-Verdejo; Manuel Ortega-Moral; Jerónimo Arenas-García; Aníbal R. Figueiras-Vidal (Neurocomputing, 2006)

Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. - Vanessa Gómez-Verdejo; Michel Verleysen; Jérôme Fleury (IWANN, 2007)

Fast evaluation of neural networks via confidence rating. - Jerónimo Arenas-García; Vanessa Gómez-Verdejo; Aníbal R. Figueiras-Vidal (Neurocomputing, 2007)

UC3M High Level Feature Extraction at TRECVID 2008. - Iván González-Díaz 001; Dario García-García; Rubén Solera-Ureña; Jaisiel Madrid-Sánchez; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Fernando Díaz-de-María; Jerónimo Arenas-García (TRECVID, 2008)

A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles. - Vanessa Gómez-Verdejo; Jerónimo Arenas-García; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2008)

Real Adaboost Ensembles with Emphasized Subsampling. - Sergio Muñoz-Romero; Jerónimo Arenas-García; Vanessa Gómez-Verdejo (IWANN (1), 2009)

UC3M AT TRECVID 2009. - Iván González-Díaz 001; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Fernando Díaz-de-María; Jerónimo Arenas-García (TRECVID, 2009)

Information-theoretic feature selection for functional data classification. - Vanessa Gómez-Verdejo; Michel Verleysen; Jérôme Fleury (Neurocomputing, 2009)

Improving boosting performance with a local combination of learners. - Efraín Mayhua-López; Vanessa Gómez-Verdejo; Aníbal R. Figueiras-Vidal (IJCNN, 2010)

UC3M AT TRECVID 2010 Semantic Indexing Task. - Iván González-Díaz 001; Vanessa Gómez-Verdejo; Fernando Díaz-de-María; Jerónimo Arenas-García (TRECVID, 2010)

Committees of Adaboost ensembles with modified emphasis functions. - Vanessa Gómez-Verdejo; Jerónimo Arenas-García; Aníbal R. Figueiras-Vidal (Neurocomputing, 2010)

Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection. - Emilio Parrado-Hernández; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Pino Alonso; Jesús Pujol; José Manuel Menchón; Narcís Cardoner; Carles Soriano-Mas (MLINI, 2011)

Support Vector Machines With Constraints for Sparsity in the Primal Parameters. - Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Jerónimo Arenas-García; Miguel Lázaro-Gredilla; Harold Y. Molina-Bulla (IEEE Trans. Neural Networks, 2011)

Adaptive One-Class Support Vector Machine. - Vanessa Gómez-Verdejo; Jerónimo Arenas-García; Miguel Lázaro-Gredilla; Ángel Navia-Vázquez (IEEE Trans. Signal Process., 2011)

fMRI brain mapping with kernels. - Manel Martínez-Ramón; Marilea de Cassia Gomes-Vilela; Vanessa Gómez-Verdejo; Antonio Oliviero (CIP, 2012)

Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. - Emilio Parrado-Hernández; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; John Shawe-Taylor; Pino Alonso; Jesús Pujol; José Manuel Menchón; Narcís Cardoner; Carles Soriano-Mas (PRNI, 2012)

Low-cost model selection for SVMs using local features. - Miguel Lázaro-Gredilla; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (Eng. Appl. Artif. Intell., 2012)

Analysis of fMRI time series with mutual information. - Vanessa Gómez-Verdejo; Manel Martínez-Ramón; José Florensa-Vila; Antonio Oliviero (Medical Image Anal., 2012)

Real AdaBoost With Gate Controlled Fusion. - Efraín Mayhua-López; Vanessa Gómez-Verdejo; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks Learn. Syst., 2012)

Iterative orthonormalized partial least squares with sparsity constraints. - Sergio Muñoz-Romero; Jerónimo Arenas-García; Vanessa Gómez-Verdejo (ICASSP, 2013)

Automatic Design of Neuromarkers for OCD Characterization. - Oscar García Hinde; Emilio Parrado-Hernández; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Carles Soriano-Mas (ECML/PKDD (1), 2014)

Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction. - Emilio Parrado-Hernández; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; John Shawe-Taylor; Pino Alonso; Jesús Pujol; José Manuel Menchón; Narcís Cardoner; Carles Soriano-Mas (Medical Image Anal., 2014)

A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia. - Eduardo Castro; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Kent A. Kiehl; Vince D. Calhoun (NeuroImage, 2014)

A new boosting design of Support Vector Machine classifiers. - Efraín Mayhua-López; Vanessa Gómez-Verdejo; Aníbal R. Figueiras-Vidal (Inf. Fusion, 2015)

Sparse and kernel OPLS feature extraction based on eigenvalue problem solving. - Sergio Muñoz-Romero; Jerónimo Arenas-García; Vanessa Gómez-Verdejo (Pattern Recognit., 2015)

Feature selection in solar radiation prediction using bootstrapped SVRs. - Oscar García Hinde; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Carlos Casanova-Mateo; Julia Sanz-Justo; Silvia Jiménez-Fernández; Sancho Salcedo-Sanz (CEC, 2016)

Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI. - Vanessa Gómez-Verdejo; Jussi Tohka (PRNI, 2016)

Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection. - Sergio Muñoz-Romero; Vanessa Gómez-Verdejo; Jerónimo Arenas-García (IEEE Comput. Intell. Mag., 2016)

A novel framework for parsimonious multivariate analysis. - Sergio Muñoz-Romero; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (Pattern Recognit., 2017)

Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting. - 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 (Eng. Appl. Artif. Intell., 2018)

Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction. - Sergio Muñoz-Romero; Jerónimo Arenas-García; Vanessa Gómez-Verdejo (IEEE Trans. Multim., 2018)

Data Selection for Short Term load forecasting. - Nestor Pereira; Miguel Ángel Hombrados-Herrera; Vanessa Gómez-Verdejo; Andrea A. Mammoli; Manel Martínez-Ramón (CoRR, 2019)

Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. - Vanessa Gómez-Verdejo; Emilio Parrado-Hernández; Jussi Tohka (Neuroinformatics, 2019)

Corpus Viewer: NLP and ML-based Platform for Public Policy Making and Implementation. - David Pérez-Fernández; Jerónimo Arenas-García; Doaa Samy; Antonio Padilla-Soler; Vanessa Gómez-Verdejo (Proces. del Leng. Natural, 2019)

Forecast-informed power load profiling: A novel approach. - Óscar García Hinde; Vanessa Gómez-Verdejo; Manel Martínez-Ramón (Eng. Appl. Artif. Intell., 2020)

Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging. - Carlos Sevilla-Salcedo; Vanessa Gómez-Verdejo; Jussi Tohka (Neuroinformatics, 2020)

Sparse semi-supervised heterogeneous interbattery bayesian analysis. - Carlos Sevilla-Salcedo; Vanessa Gómez-Verdejo; Pablo M. Olmos (Pattern Recognit., 2021)

Multi-task longitudinal forecasting with missing values on Alzheimer's disease. - Carlos Sevilla-Salcedo; Vandad Imani; Pablo M. Olmos; Vanessa Gómez-Verdejo; Jussi Tohka (Comput. Methods Programs Biomed., 2022)

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. - Alejandro Guerrero-López; Carlos Sevilla-Salcedo; Vanessa Gómez-Verdejo; Pablo M. Olmos (CoRR, 2022)

Bayesian learning of feature spaces for multitasks problems. - Carlos Sevilla-Salcedo; Ascensión Gallardo-Antolín; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (CoRR, 2022)

A conditional one-output likelihood formulation for multitask Gaussian processes. - Oscar García Hinde; Manel Martínez-Ramón; Vanessa Gómez-Verdejo (Neurocomputing, 2022)

Bayesian sparse factor analysis with kernelized observations. - Carlos Sevilla-Salcedo; Alejandro Guerrero-López; Pablo M. Olmos; Vanessa Gómez-Verdejo (Neurocomputing, 2022)

Adaptive Sparse Gaussian Process. - Vanessa Gómez-Verdejo; Manel Martínez-Ramón (CoRR, 2023)

Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra. - 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 (Eng. Appl. Artif. Intell., 2023)

The Relevance Feature and Vector Machine for health applications. - Albert Belenguer-Llorens; Carlos Sevilla-Salcedo; Emilio Parrado-Hernández; Vanessa Gómez-Verdejo (CoRR, 2024)

Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification. - Albert Belenguer-Llorens; Carlos Sevilla-Salcedo; Jussi Tohka; Vanessa Gómez-Verdejo (CoRR, 2024)

Bayesian learning of feature spaces for multitask regression. - Carlos Sevilla-Salcedo; Ascensión Gallardo-Antolín; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (Neural Networks, 2024)

Adaptive Sparse Gaussian Process. - Vanessa Gómez-Verdejo; Emilio Parrado-Hernández; Manel Martínez-Ramón (IEEE Trans. Neural Networks Learn. Syst., 2024)

Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS. - 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; et al. (BMC Bioinform., 2025)