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Cappozzo, Andrea

Cappozzo, Andrea  

MILANO - Dipartimento di Scienze statistiche  

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Data di pubblicazione Titolo Autore(i) File
1-gen-2025 DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation Caldera, Luca; Cavinato, Lara; Cappozzo, Andrea; Cama, Isabella; Garbarino, Sara; Cirone, Alessio; Lodi, Raffaele; Tagliavini, Fabrizio; Nigri, Anna; De Francesco, Silvia; Ieva, Francesca; Network, RIN-Neuroimaging
1-gen-2025 Stacking Model‐Based Classifiers for Dealing With Multiple Sets of Noisy Labels Montani, Giulia; Cappozzo, Andrea
1-gen-2024 Learning from Multiple Annotators: An Ensemble Model-Based Classification Approach Cappozzo, Andrea
1-gen-2024 Model-Based Clustering of Nested Lifetime Data: Profiling COVID-19 Heart Failure Patients Masci, Chiara; Cappozzo, Andrea; Ieva, Francesca; Leoni, Olivia; Forlani, Marco; Antonelli, Barbara; Paganoni, Anna Maria
1-gen-2024 Scoring probability maps in the basketball court with Indicator Kriging estimation Carlesso, Mirko Luigi; Cappozzo, Andrea; Manisera, Marica; Zuccolotto, Paola
1-gen-2024 Sparse model-based clustering of three-way data via lasso-type penalties Cappozzo, Andrea; Casa, Alessandro; Fop, Michael
1-gen-2023 A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation Cappozzo, Andrea; Ieva, Francesca; Fiorito, Giovanni
1-gen-2023 Graphical and computational tools to guide parameter choice for the cluster weighted robust model Cappozzo, Andrea; García-Escudero, Luis Angel; Greselin, Francesca; Mayo-Iscar, Agustín
1-gen-2023 Monitoring Tools in Robust CWM for the Analysis of Crime Data Cappozzo, Andrea; Garcia-Escudero, La; Greselin, F; Mayo-Iscar, A
1-gen-2023 Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation Casa, A; Cappozzo, Andrea; Fop, M
1-gen-2023 Variational inference for semiparametric Bayesian novelty detection in large datasets Benedetti, Luca; Boniardi, Eric; Chiani, Leonardo; Ghirri, Jacopo; Mastropietro, Marta; Cappozzo, Andrea; Denti, Francesco
1-gen-2022 A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events 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
1-gen-2022 Group-wise penalized estimation schemes in model-based clustering = Strategie di stima penalizzata a livello di gruppo nel clustering basato su modello Casa, A.; Cappozzo, Andrea; Fop, M.
1-gen-2022 Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering Casa, Alessandro; Cappozzo, Andrea; Fop, Michael
1-gen-2022 Mixed-effects high-dimensional multivariate regression via group-lasso regularization = Regressione multivariata con effetti misti per dati ad alta dimensionalit`a: un approccio con regolarizzazione di tipo group-lasso Ieva, Francesca; Cappozzo, Andrea; Fiorito, Giovanni
1-gen-2021 A two-stage Bayesian semiparametric model for novelty detection with robust prior information Denti, Francesco; Cappozzo, Andrea; Greselin, F.
1-gen-2021 Exploring solutions via monitoring for cluster weighted robust models Cappozzo, Andrea; Greselin, Francesca; Angel Garcìa Escudero, Luis; Mayo-Iscar, Agustìn
1-gen-2021 Model-based clustering with sparse matrix mixture models Cappozzo, Andrea; Casa, Alessandro; Fop, Michael
1-gen-2021 Monitoring tools for robust estimation of cluster weighted models = Strumenti di monitoring per la stima robusta del modello Cluster Weighted Cappozzo, Andrea; Greselin, F.
1-gen-2021 Outlier and novelty detection for Functional data: a semiparametric Bayesian approach Denti, Francesco; Cappozzo, Andrea; Greselin, Francesca