Co-author Network
Co-researcher Network
sample of publications
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articles
- Forecast-informed power load profiling: A novel approach. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 96:1-12. 2020
- Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging. NEUROINFORMATICS. 18. 2020
- Sign-consistency based variable importance for machine learning in brain imaging. NEUROINFORMATICS. 17:593-609. 2019
- Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction. IEEE TRANSACTIONS ON MULTIMEDIA. 20:1751-1766. 2018
- Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 69:157-167. 2018
- Comparison of feature representations in MRI-based MCI-to-AD conversion prediction. MAGNETIC RESONANCE IMAGING. 2018
- A novel framework for parsimonious multivariate analysis. PATTERN RECOGNITION. 71. 2017
- Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection. IEEE Computational Intelligence Magazine. 11:24-35. 2016
- A new boosting design of Support Vector Machine classifiers. Information Fusion. 25:63-71. 2015
- Sparse and kernel OPLS feature extraction based on eigenvalue problem solving. PATTERN RECOGNITION. 48:1797-1811. 2015
- Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction. MEDICAL IMAGE ANALYSIS. 18:435-448. 2014
- A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia. NEUROIMAGE. 87:1-17. 2014
- Real AdaBoost With Gate Controlled Fusion. IEEE Transactions on Neural Networks and Learning Systems. 23:2003-2009. 2012
- Low-cost model selection for SVMs using local features. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 25:1203-1211. 2012
- Analysis of fMRI time series with mutual information. MEDICAL IMAGE ANALYSIS. 16:451-458. 2012
- Support Vector Machines with Constraints for Sparsity in the Primal Parameters. IEEE TRANSACTIONS ON NEURAL NETWORKS. 22:1269-1283. 2011
- Adaptive one-class support vector machine. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 59:2975-2981. 2011
- Committees of Adaboost Ensembles with Modified Emphasis Functions. NEUROCOMPUTING. 73:1289-1292. 2010
- Information-Theoretic Feature Selection for Functional Data Classification. NEUROCOMPUTING. 72:3580-3589. 2009
- A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles. IEEE Transactions on Neural Networks and Learning Systems. 19:3-17. 2008
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conference contributions
- Feature selection in solar radiation prediction using bootstrapped SVRs 2016
- Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI 2016
- Iterative orthonormalized partial least squares with sparsity constraints. 3387-3391. 2013
- Voxel Selection in MRI Through Bagging and Conformal Analysis: Application to Detection of Obsessive Complusive Disorder 2012
- UC3M High Level Feature Extraction at TRECVID 2008 2008