Francesca Greselin | DeepAI

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Featured Co-authors

Thomas Brendan Murphy
18 publications
Ričardas Zitikis
13 publications
Andrea Cappozzo
9 publications
Francesco Denti
9 publications
Vytaras Brazauskas
4 publications
Davide Di Vincenzo
1 publication
Fabio Piacenza
1 publication
Simone Pellegrino
1 publication
Achille Vernizzi
1 publication
Ludovic Duponchel
1 publication

∙ 08/07/2023

Measuring income inequality via percentile relativities

"The rich are getting richer" implies that the population income distrib...

0 Vytaras Brazauskas, et al. ∙

∙ 12/02/2022

A text analysis for Operational Risk loss descriptions

Financial institutions manage operational risk by carrying out the activ...

0 Davide Di Vincenzo, 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. ∙

∙ 06/18/2020

The Social Welfare Implications of the Zenga Index

We introduce the social welfare implications of the Zenga index, a recen...

0 Francesca Greselin, 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. ∙

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