Co-author Network
Co-researcher Network
sample of publications
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articles
- Bayesian learning of feature spaces for multitask regression. Neural Networks. 179:1-16. 2024
- Adaptive Sparse Gaussian Process. IEEE Transactions on Neural Networks and Learning Systems. 1-14. 2023
- Multidimensional analysis of immune cells from COVID-19 patients identified cell subsets associated with the severity at hospital admission. PLoS Pathogens. 19:1-23. 2023
- Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra. Engineering Applications of Artificial Intelligence. 118. 2023
- Multi-task longitudinal forecasting with missing values on Alzheimer's Disease. Computer Methods and Programs in Biomedicine. 226:1-11. 2022
- A conditional one-output likelihood formulation for multitask Gaussian processes. Neurocomputing. 509:257-270. 2022
- Bayesian sparse factor analysis with kernelized observations. Neurocomputing. 490:66-78. 2022
- A Novel Bayesian Linear Regression Model for the Analysis of Neuroimaging Data. Applied Sciences. 12:2571-2588. 2022
- Sparse semi-supervised heterogeneous interbattery bayesian analysis. Pattern Recognition. 120:1-13. 2021
- 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. 18:641-659. 2020
- Sign-consistency based variable importance for machine learning in brain imaging. Neuroinformatics. 17:593-609. 2019
- Comparison of feature representations in MRI-based MCI-to-AD conversion prediction. Magnetic Resonance Imaging. 50:84-95. 2018
- 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
- A novel framework for parsimonious multivariate analysis. Pattern Recognition. 71:173-186. 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
- Corpus Viewer: NLP and ML-based Platform for Public Policy Making and Implementation. 193-196. 2019
- 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