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07/20/2023
Sparse model-based clustering of three-way data via lasso-type penalties
Mixtures of matrix Gaussian distributions provide a probabilistic framew...
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12/04/2022
Variational Inference for Semiparametric Bayesian Novelty Detection in Large Datasets
After being trained on a fully-labeled training set, where the observati...
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12/23/2021
A general framework for penalized mixed-effects multitask learning with application on DNAm biomarkers creation
The creation of non invasive biomarkers from blood DNA methylation profi...
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05/17/2021
Group-wise shrinkage for multiclass Gaussian Graphical Models
Gaussian Graphical Models are widely employed for modelling dependence a...
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10/20/2020
Robust variable selection in the framework of classification with label noise and outliers: applications to spectroscopic data in agri-food
Classification of high-dimensional spectroscopic data is a common task i...
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07/29/2020
Robust variable selection for model-based learning in presence of adulteration
The problem of identifying the most discriminating features when perform...
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06/16/2020
A Two-Stage Bayesian Nonparametric Model for Novelty Detection with Robust Prior Information
Standard novelty detection methods aim at bi-partitioning the test units...
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11/19/2019
Anomaly and Novelty detection for robust semi-supervised learning
Three important issues are often encountered in Supervised and Semi-Supe...
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04/12/2019