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2020 – today
- 2024
[j30]Carlos Sevilla-Salcedo
, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández:
Bayesian learning of feature spaces for multitask regression. Neural Networks 179: 106619 (2024)- [j29]Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Manel Martínez-Ramón:
Adaptive Sparse Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16383-16395 (2024) - [i12]Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo:
The Relevance Feature and Vector Machine for health applications. CoRR abs/2402.07079 (2024) - [i11]Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Jussi Tohka, Vanessa Gómez-Verdejo:
Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification. CoRR abs/2411.07043 (2024) - 2023
- [j28]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:
Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra. Eng. Appl. Artif. Intell. 118: 105644 (2023) - [i10]Vanessa Gómez-Verdejo, Manel Martínez-Ramón:
Adaptive Sparse Gaussian Process. CoRR abs/2302.10325 (2023) - 2022
- [j27]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: 107056 (2022) - [j26]Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo:
Bayesian sparse factor analysis with kernelized observations. Neurocomputing 490: 66-78 (2022) - [j25]Oscar García Hinde, Manel Martínez-Ramón, Vanessa Gómez-Verdejo:
A conditional one-output likelihood formulation for multitask Gaussian processes. Neurocomputing 509: 257-270 (2022) - [i9]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 abs/2201.05040 (2022) - [i8]Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. CoRR abs/2207.09185 (2022) - [i7]Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández:
Bayesian learning of feature spaces for multitasks problems. CoRR abs/2209.03028 (2022) - 2021
- [j24]Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Sparse semi-supervised heterogeneous interbattery bayesian analysis. Pattern Recognit. 120: 108141 (2021) - [i6]Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Jerónimo Arenas-García:
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection. CoRR abs/2112.12249 (2021) - [i5]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 abs/2112.12280 (2021) - 2020
- [j23]Óscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón:
Forecast-informed power load profiling: A novel approach. Eng. Appl. Artif. Intell. 96: 103948 (2020) - [j22]Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Jussi Tohka:
Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging. Neuroinformatics 18(4): 641-659 (2020) - [i4]Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis. CoRR abs/2001.08975 (2020) - [i3]Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo:
Bayesian Sparse Factor Analysis with Kernelized Observations. CoRR abs/2006.00968 (2020) - [i2]Vanessa Gómez-Verdejo, Óscar García Hinde, Manel Martínez-Ramón:
A conditional one-output likelihood formulation for multitask Gaussian processes. CoRR abs/2006.03495 (2020)
2010 – 2019
- 2019
- [j21]Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka:
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. Neuroinformatics 17(4): 593-609 (2019) - [j20]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: 193-196 (2019) - [i1]Nestor Pereira, Miguel Ángel Hombrados-Herrera, Vanessa Gómez-Verdejo, Andrea A. Mammoli, Manel Martínez-Ramón:
Data Selection for Short Term load forecasting. CoRR abs/1909.01759 (2019) - 2018
- [j19]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: 157-167 (2018) - [j18]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): 1751-1766 (2018) - 2017
- [j17]Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández:
A novel framework for parsimonious multivariate analysis. Pattern Recognit. 71: 173-186 (2017) - 2016
- [j16]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): 24-35 (2016) - [c19]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: 3638-3645 - [c18]Vanessa Gómez-Verdejo, Jussi Tohka:
Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI. PRNI 2016: 1-4 - 2015
- [j15]Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal:
A new boosting design of Support Vector Machine classifiers. Inf. Fusion 25: 63-71 (2015) - [j14]Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo:
Sparse and kernel OPLS feature extraction based on eigenvalue problem solving. Pattern Recognit. 48(5): 1797-1811 (2015) - 2014
- [j13]Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas:
Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction. Medical Image Anal. 18(3): 435-448 (2014) - [j12]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: 1-17 (2014) - [c17]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: 450-465 - 2013
- [c16]Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo:
Iterative orthonormalized partial least squares with sparsity constraints. ICASSP 2013: 3387-3391 - 2012
- [j11]Miguel Lázaro-Gredilla, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández:
Low-cost model selection for SVMs using local features. Eng. Appl. Artif. Intell. 25(6): 1203-1211 (2012) - [j10]Vanessa Gómez-Verdejo, Manel Martínez-Ramón, José Florensa-Vila, Antonio Oliviero:
Analysis of fMRI time series with mutual information. Medical Image Anal. 16(2): 451-458 (2012) - [j9]Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal:
Real AdaBoost With Gate Controlled Fusion. IEEE Trans. Neural Networks Learn. Syst. 23(12): 2003-2009 (2012) - [c15]Manel Martínez-Ramón, Marilea de Cassia Gomes-Vilela, Vanessa Gómez-Verdejo, Antonio Oliviero:
fMRI brain mapping with kernels. CIP 2012: 1-6 - [c14]Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas:
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. PRNI 2012: 49-52 - 2011
- [j8]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): 1269-1283 (2011) - [j7]Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Ángel Navia-Vázquez:
Adaptive One-Class Support Vector Machine. IEEE Trans. Signal Process. 59(6): 2975-2981 (2011) - [c13]Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas:
Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection. MLINI 2011: 60-67 - 2010
- [j6]Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal:
Committees of Adaboost ensembles with modified emphasis functions. Neurocomputing 73(7-9): 1289-1292 (2010) - [c12]Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal:
Improving boosting performance with a local combination of learners. IJCNN 2010: 1-7 - [c11]Iván González-Díaz, Vanessa Gómez-Verdejo, Fernando Díaz-de-María, Jerónimo Arenas-García:
UC3M AT TRECVID 2010 Semantic Indexing Task. TRECVID 2010
2000 – 2009
- 2009
- [j5]Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury:
Information-theoretic feature selection for functional data classification. Neurocomputing 72(16-18): 3580-3589 (2009) - [c10]Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo:
Real Adaboost Ensembles with Emphasized Subsampling. IWANN (1) 2009: 440-447 - [c9]Iván González-Díaz, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Fernando Díaz-de-María, Jerónimo Arenas-García:
UC3M AT TRECVID 2009. TRECVID 2009 - 2008
- [j4]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): 3-17 (2008) - [c8]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 - 2007
- [j3]Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal:
Fast evaluation of neural networks via confidence rating. Neurocomputing 70(16-18): 2775-2782 (2007) - [c7]Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury:
Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. IWANN 2007: 522-529 - 2006
- [j2]Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal:
Boosting by weighting critical and erroneous samples. Neurocomputing 69(7-9): 679-685 (2006) - [c6]Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal:
Designing neural network committees by combining boosting ensembles. ESANN 2006: 419-424 - 2005
- [j1]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): 2239-2249 (2005) - [c5]Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal:
Boosting by weighting boundary and erroneous samples. ESANN 2005: 85-90 - [c4]Manuel Ortega-Moral, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal:
An On-line Fisher Discriminant. ESANN 2005: 175-180 - [c3]Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Manuel Ortega-Moral, Aníbal R. Figueiras-Vidal:
Designing RBF classifiers for weighted boosting. IJCNN 2005: 1057-1062 - [c2]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: 622-629 - 2003
- [c1]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: 239-248
Coauthor Index
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