Vanessa Gómez-Verdejo

CoRR, 2024

2023

Automatic antibiotic resistance prediction in <i>Klebsiella pneumoniae</i> based on MALDI-TOF mass spectra.

[BibT_eX]

[DOI]

Alejandro Guerrero-López

Ana Candela

Marta Hernández-García

Rosa del Campo

Belén Rodríguez-Sánchez

Eng. Appl. Artif. Intell., 2023

Adaptive Sparse Gaussian Process.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Bayesian sparse factor analysis with kernelized observations.

[BibT_eX]

[DOI]

Alejandro Guerrero-López

Neurocomputing, 2022

A conditional one-output likelihood formulation for multitask Gaussian processes.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Bayesian learning of feature spaces for multitasks problems.

[BibT_eX]

[DOI]

Ascensión Gallardo-Antolín

CoRR, 2022

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space.

[BibT_eX]

[DOI]

Alejandro Guerrero-López

CoRR, 2022

Multi-task longitudinal forecasting with missing values on Alzheimer's disease.

[BibT_eX]

[DOI]

Vandad Imani

Comput. Methods Programs Biomed., 2022

2021

Sparse semi-supervised heterogeneous interbattery bayesian analysis.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

2020

Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging.

[BibT_eX]

[DOI]

Neuroinformatics, 2020

Forecast-informed power load profiling: A novel approach.

[BibT_eX]

[DOI]

Óscar García Hinde

Eng. Appl. Artif. Intell., 2020

2019

Corpus Viewer: NLP and ML-based Platform for Public Policy Making and Implementation.

[BibT_eX]

[DOI]

David Pérez-Fernández

Doaa Samy

Antonio Padilla-Soler

Proces. del Leng. Natural, 2019

Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging.

[BibT_eX]

[DOI]

Miguel Ángel Hombrados-Herrera

Neuroinformatics, 2019

Data Selection for Short Term load forecasting.

[BibT_eX]

[DOI]

Nestor Pereira

Andrea A. Mammoli

CoRR, 2019

2018

Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2018

Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting.

[BibT_eX]

[DOI]

Guillermo Terrén-Serrano

M. Á. Hombrados-Herrera

Silvia Jiménez-Fernández

Carlos Casanova-Mateo

Julia Sanz-Justo

Sancho Salcedo-Sanz

Eng. Appl. Artif. Intell., 2018

2017

A novel framework for parsimonious multivariate analysis.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

2016

Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection.

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2016

Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Feature selection in solar radiation prediction using bootstrapped SVRs.

[BibT_eX]

[DOI]

Carlos Casanova-Mateo

Julia Sanz-Justo

Silvia Jiménez-Fernández

Sancho Salcedo-Sanz

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Sparse and kernel OPLS feature extraction based on eigenvalue problem solving.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

A new boosting design of Support Vector Machine classifiers.

[BibT_eX]

[DOI]

Efraín Mayhua-López

Inf. Fusion, 2015

2014

A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia.

[BibT_eX]

[DOI]

Eduardo Castro

Kent A. Kiehl

Vince D. Calhoun

NeuroImage, 2014

Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction.

[BibT_eX]

[DOI]

Medical Image Anal., 2014

Automatic Design of Neuromarkers for OCD Characterization.

[BibT_eX]

[DOI]

Carles Soriano-Mas

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Iterative orthonormalized partial least squares with sparsity constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Real AdaBoost With Gate Controlled Fusion.

[BibT_eX]

[DOI]

Efraín Mayhua-López

IEEE Trans. Neural Networks Learn. Syst., 2012

Analysis of fMRI time series with mutual information.

[BibT_eX]

[DOI]

José Florensa-Vila

Antonio Oliviero

Medical Image Anal., 2012

Low-cost model selection for SVMs using local features.

[BibT_eX]

[DOI]

Miguel Lázaro-Gredilla

Eng. Appl. Artif. Intell., 2012

Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

fMRI brain mapping with kernels.

[BibT_eX]

[DOI]

Marilea de Cassia Gomes-Vilela

Antonio Oliviero

Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011

Adaptive One-Class Support Vector Machine.

[BibT_eX]

[DOI]

Miguel Lázaro-Gredilla

Ángel Navia-Vázquez

IEEE Trans. Signal Process., 2011

Support Vector Machines With Constraints for Sparsity in the Primal Parameters.

[BibT_eX]

[DOI]

Miguel Lázaro-Gredilla

Harold Y. Molina-Bulla

IEEE Trans. Neural Networks, 2011

Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

2010

Committees of Adaboost ensembles with modified emphasis functions.

[BibT_eX]

[DOI]

Neurocomputing, 2010

UC3M AT TRECVID 2010 Semantic Indexing Task.

[BibT_eX]

[DOI]

Iván González-Díaz

Fernando Díaz-de-María

Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Improving boosting performance with a local combination of learners.

[BibT_eX]

[DOI]

Efraín Mayhua-López

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Information-theoretic feature selection for functional data classification.

[BibT_eX]

[DOI]

Michel Verleysen

Jérôme Fleury

Neurocomputing, 2009

UC3M AT TRECVID 2009.

[BibT_eX]

[DOI]

Iván González-Díaz

Fernando Díaz-de-María

Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Real Adaboost Ensembles with Emphasized Subsampling.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008

A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

UC3M High Level Feature Extraction at TRECVID 2008.

[BibT_eX]

[DOI]

Iván González-Díaz

Dario García-García

Rubén Solera-Ureña

Jaisiel Madrid-Sánchez

Fernando Díaz-de-María

Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

2007

Fast evaluation of neural networks via confidence rating.

[BibT_eX]

[DOI]

Neurocomputing, 2007

Information-Theoretic Feature Selection for the Classification of Hysteresis Curves.

[BibT_eX]

[DOI]

Michel Verleysen

Jérôme Fleury

Proceedings of the Computational and Ambient Intelligence, 2007

2006

Boosting by weighting critical and erroneous samples.

[BibT_eX]

[DOI]

Neurocomputing, 2006

Designing neural network committees by combining boosting ensembles.

[BibT_eX]

[DOI]

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

New algorithms for improved adaptive convex combination of LMS transversal filters.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2005

Fast Classification with Neural Networks via Confidence Rating.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

An On-line Fisher Discriminant.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Boosting by weighting boundary and erroneous samples.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2003

Separate-variable adaptive combination of LMS adaptive filters for plant identification.

[BibT_eX]

[DOI]