CAPPOZZO, ANDREA
Bayesian nonparametric adaptive classification with robust prior information
2020-01-01 Denti, Francesco; Cappozzo, Andrea; Greselin, Francesca
Exploring solutions via monitoring for cluster weighted robust models
2021-01-01 Cappozzo, Andrea; Greselin, Francesca; Angel Garcìa Escudero, Luis; Mayo-Iscar, Agustìn
Group-wise penalized estimation schemes in model-based clustering
2022-01-01 Cappozzo, A.; Casa, A.; Fop, M.
Mixed-effects high-dimensional multivariate regression via group-lasso regularization
2022-01-01 Cappozzo, A.; Ieva, F.; Fiorito, G.
Model-based clustering with sparse matrix mixture models
2021-01-01 Cappozzo, Andrea; Casa, Alessandro; Fop, Michael
Monitoring tools for robust estimation of cluster weighted models
2021-01-01 Cappozzo, A.; Greselin, F.
Outlier and novelty detection for Functional data: a semiparametric Bayesian approach
2021-01-01 Denti, Francesco; Cappozzo, Andrea; Greselin, Francesca
Penalized model-based clustering for three-way data structures
2021-01-01 Cappozzo, Andrea; Casa, Alessandro; Fop, Michael
Predicting and improving smart mobility: a robust model-based approach to the BikeMi BSS
2019-01-01 Cappozzo, Andrea; Greselin, Francesca; Manzi, Giancarlo
Robust classification of spectroscopic data in agri-food: First analysis on the stability of results
2021-01-01 Cappozzo, Andrea; Duponchel, Ludovic; Greselin, Francesca; Murphy, Brendan
Robust Updating Classification Rule with applications in Food Authenticity Studies
2018-01-01 Cappozzo, Andrea; Greselin, Francesca; Murphy, Brendan
Supervised learning in presence of outliers, label noise and unobserved classes
2019-01-01 Cappozzo, Andrea; Greselin, Francesca; Murphy, Brendan
Variable selection for robust model-based learning from contaminated data
2020-01-01 Cappozzo, Andrea; Greselin, Francesca; Murphy, Brendan
Wine authenticity assessed via trimming
2017-01-01 Cappozzo, A.; Greselin, F.