sample of publications
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articles
- Multi-objective genetic algorithm for multi-view feature selection. Applied Soft Computing Journal. 167, Part B. 2024
- Bayesian learning of feature spaces for multitask regression. Neural Networks. 179:1-16. 2024
- 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
- 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
- Regularized bagged canonical component analysis for multiclass learning in brain imaging. Neuroinformatics. 18:641-659. 2020
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theses