Andrea Cappozzo | DeepAI

AI Chat

Featured Co-authors

Thomas Brendan Murphy
18 publications
Francesca Ieva
13 publications
Alessandro Casa
11 publications
Francesco Denti
9 publications
Francesca Greselin
8 publications
Michael Fop
7 publications
Marta Mastropietro
2 publications
Luca Benedetti
2 publications
Jacopo Ghirri
2 publications
Giovanni Fiorito
1 publication
Eric Boniardi
1 publication

∙ 07/20/2023

Sparse model-based clustering of three-way data via lasso-type penalties

Mixtures of matrix Gaussian distributions provide a probabilistic framew...

0 Andrea Cappozzo, et al. ∙

∙ 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...

0 Luca Benedetti, et al. ∙

∙ 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...

0 Andrea Cappozzo, et al. ∙

∙ 05/17/2021

Group-wise shrinkage for multiclass Gaussian Graphical Models

Gaussian Graphical Models are widely employed for modelling dependence a...

0 Alessandro Casa, et al. ∙

∙ 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...

0 Andrea Cappozzo, et al. ∙

∙ 07/29/2020

Robust variable selection for model-based learning in presence of adulteration

The problem of identifying the most discriminating features when perform...

0 Andrea Cappozzo, et al. ∙

∙ 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...

0 Francesco Denti, et al. ∙

∙ 11/19/2019

Anomaly and Novelty detection for robust semi-supervised learning

Three important issues are often encountered in Supervised and Semi-Supe...

0 Andrea Cappozzo, et al. ∙

∙ 04/12/2019

A robust approach to model-based classification based on trimming and constraints

In a standard classification framework a set of trustworthy learning dat...

0 Andrea Cappozzo, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world