2020
Forecast-informed power load profiling: A novel approach Journal Article
In: Engineering Applications of Artificial Intelligence, vol. 96, 2020.
Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging Journal Article
In: Neuroinformatics, vol. 18, pp. 641–659, 2020.
2019
Sign-Consistency Based Variable Importance For Machine Learning In Brain Imaging Journal Article
In: Neuroinformatics , vol. 17, no. 4, pp. 593-609, 2019.
2018
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting Journal Article
In: Engineering Applications of Artificial Intelligence, vol. 69, pp. 157-167, 2018.
Comparison of feature representations in MRI-based MCI-to-AD conversion prediction Journal Article
In: Magnetic Resonance Imaging, vol. 10, no. 50, pp. 84-95, 2018.
2017
Non-Negative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction Journal Article
In: IEEE Transactions on Multimedia, pp. 1-1, 2017.
A novel framework for parsimonious multivariate analysis Journal Article
In: Pattern Recognition, vol. 71, pp. 173-186, 2017.
2016
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection Journal Article
In: IEEE Computational Intelligence Magazine, vol. 11 , no. 4, pp. 24 - 35, 2016.
Feature Selection in Solar Radiation Prediction using Bootstrapped SVRs Incollection
In: IEEE World Congress on Computational Intelligence, Vancouver (Canada), 2016.
Voxel importance based on sign consistency patterns in classifier ensembles Incollection
In: The 6th International Workshop on Pattern Recognition in Neuroimaging, Trento (Italy), 2016.
2015
A new boosting design of Support Vector Machine classifiers Journal Article
In: Information Fusion, vol. 25, pp. 63–71, 2015.
Sparse and kernel OPLS feature extraction based on eigenvalue problem solving Journal Article
In: Pattern Recognition, vol. 48, no. 5, pp. 1797–1811, 2015.
2014
A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia Journal Article
In: NeuroImage, vol. 87, pp. 1–17, 2014.
Discovering brain regions relevant to obsessive--compulsive disorder identification through bagging and transduction Journal Article
In: Medical Image Analysis, vol. 18, no. 3, pp. 435–448, 2014.
Automatic Design of Neuromarkers for OCD Characterization Incollection
In: ECML PKDD 2014: Machine Learning and Knowledge Discovery in Databases, pp. 450–465, Springer Berlin Heidelberg, 2014.
2013
Iterative orthonormalized partial least squares with sparsity constraints Inproceedings
In: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, pp. 3387–3391, IEEE 2013.
2012
Low-cost model selection for SVMs using local features Journal Article
In: Engineering Applications of Artificial Intelligence, vol. 25, no. 6, pp. 1203–1211, 2012.
Analysis of fMRI time series with mutual information Journal Article
In: Medical Image Analysis, vol. 16, no. 2, pp. 451–458, 2012.
Real Adaboost with gate controlled fusion Journal Article
In: Neural Networks and Learning Systems, IEEE Transactions on, vol. 23, no. 12, pp. 2003–2009, 2012.
Identification of OCD-relevant brain areas through multivariate feature selection Incollection
In: Machine Learning and Interpretation in Neuroimaging, pp. 60–67, Springer Berlin Heidelberg, 2012.
fMRI brain mapping with kernels Inproceedings
In: Cognitive Information Processing (CIP), 2012 3rd International Workshop on, pp. 1–6, IEEE 2012.
Voxel selection in MRI through bagging and conformal analysis: application to detection of obsessive compulsive disorder Inproceedings
In: Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on, pp. 49–52, IEEE 2012.
2011
Support vector machines with constraints for sparsity in the primal parameters Journal Article
In: Neural Networks, IEEE Transactions on, vol. 22, no. 8, pp. 1269–1283, 2011.
Adaptive one-class support vector machine Journal Article
In: Signal Processing, IEEE Transactions on, vol. 59, no. 6, pp. 2975–2981, 2011.
2010
Improving boosting performance with a local combination of learners. Inproceedings
In: IJCNN, pp. 1–7, 2010.
Committees of Adaboost ensembles with modified emphasis functions Journal Article
In: Neurocomputing, vol. 73, no. 7, pp. 1289–1292, 2010.
2009
Real Adaboost Ensembles with Emphasized Subsampling Incollection
In: Bio-Inspired Systems: Computational and Ambient Intelligence, pp. 440–447, Springer Berlin Heidelberg, 2009.
Information-theoretic feature selection for functional data classification Journal Article
In: Neurocomputing, vol. 72, no. 16, pp. 3580–3589, 2009.
2008
A dynamically adjusted mixed emphasis method for building boosting ensembles Journal Article
In: Neural Networks, IEEE Transactions on, vol. 19, no. 1, pp. 3–17, 2008.
2007
Information-theoretic feature selection for the classification of hysteresis curves Incollection
In: Computational and Ambient Intelligence, pp. 522–529, Springer Berlin Heidelberg, 2007.
Fast evaluation of neural networks via confidence rating Journal Article
In: Neurocomputing, vol. 70, no. 16, pp. 2775–2782, 2007.
2006
Boosting by weighting critical and erroneous samples Journal Article
In: Neurocomputing, vol. 69, no. 7, pp. 679–685, 2006.
2005
New algorithms for improved adaptive convex combination of LMS transversal filters Journal Article
In: Instrumentation and Measurement, IEEE Transactions on, vol. 54, no. 6, pp. 2239–2249, 2005.
Fast classification with neural networks via confidence rating Incollection
In: Computational Intelligence and Bioinspired Systems, pp. 622–629, Springer Berlin Heidelberg, 2005.