CAPPOZZO, ANDREA
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
2022-01-01 Cappozzo, Andrea; Mccrory, Cathal; Robinson, Oliver; Freni Sterrantino, Anna; Sacerdote, Carlotta; Krogh, Vittorio; Panico, Salvatore; Tumino, Rosario; Iacoviello, Licia; Ricceri, Fulvio; Sieri, Sabina; Chiodini, Paolo; Mckay, Gareth J.; Mcknight, Amy Jayne; Kee, Frank; Young, Ian S.; Mcguinness, Bernadette; Crimmins, Eileen M.; Arpawong, Thalida Em; Kenny, Rose Anne; O’Halloran, Aisling; Polidoro, Silvia; Solinas, Giuliana; Vineis, Paolo; Ieva, Francesca; Fiorito, Giovanni
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
2023-01-01 Cappozzo, Andrea; Ieva, Francesca; Fiorito, Giovanni
A robust approach to model-based classification based on trimming and constraints: Semi-supervised learning in presence of outliers and label noise
2020-01-01 Cappozzo, A.; Greselin, F.; Murphy, T. B.
A two-stage Bayesian semiparametric model for novelty detection with robust prior information
2021-01-01 Denti, F.; Cappozzo, A.; Greselin, F.
An Object Oriented Approach to Multimodal Imaging Data in Neuroscience
2018-01-01 Cappozzo, A.; Ferraccioli, Federico; Stefanucci, M.; Secchi, P.
Anomaly and Novelty detection for robust semi-supervised learning
2020-01-01 Cappozzo, A.; Greselin, F.; Murphy, T. B.
Bayesian nonparametric adaptive classification with robust prior information
2020-01-01 Denti, Francesco; Cappozzo, Andrea; Greselin, Francesca
Detecting wine adulterations employing robust mixture of factor analyzers
2019-01-01 Cappozzo, A.; Greselin, F.
Exploring solutions via monitoring for cluster weighted robust models
2021-01-01 Cappozzo, Andrea; Greselin, Francesca; Angel Garcìa Escudero, Luis; Mayo-Iscar, Agustìn
Graphical and computational tools to guide parameter choice for the cluster weighted robust model
2023-01-01 Cappozzo, Andrea; García-Escudero, Luis Angel; Greselin, Francesca; Mayo-Iscar, Agustín
Group-wise penalized estimation schemes in model-based clustering
2022-01-01 Cappozzo, A.; Casa, A.; Fop, M.
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering
2022-01-01 Casa, Alessandro; Cappozzo, Andrea; Fop, Michael
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.
Monitoring Tools in Robust CWM for the Analysis of Crime Data
2023-01-01 Cappozzo, A; Garcia-Escudero, La; Greselin, F; Mayo-Iscar, A
Outlier and novelty detection for Functional data: a semiparametric Bayesian approach
2021-01-01 Denti, Francesco; Cappozzo, Andrea; Greselin, Francesca
Parameter Choice, Stability and Validity for Robust Cluster Weighted Modeling
2021-01-01 Cappozzo, Andrea; Angel Garcìa Escudero, Luis; Greselin, Francesca; Mayo-Iscar, Agustìn
Penalized model-based clustering for three-way data structures
2021-01-01 Cappozzo, Andrea; Casa, Alessandro; Fop, Michael
Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation
2023-01-01 Casa, A; Cappozzo, A; Fop, M