Publications

2023

Bayesian learning of feature spaces for multitasks problems

Under review

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space

Under review

Multi-Objective Genetic Algorithm for Multi-View Feature Selection

Under review

Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra

Published

2022

Multi-task longitudinal forecasting with missing values on Alzheimer’s Disease

Published

Bayesian Sparse Factor Analysis with Kernelized Observations

Published

A Novel Bayesian Linear Regression Model for the Analysis of Neuroimaging Data

Published

2021

Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis

Published

2020

Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging

Published