CAPPOZZO, ANDREA

CAPPOZZO, ANDREA  

DIPARTIMENTO DI STATISTICA E METODI QUANTITATIVI  

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Titolo Tipologia Data di pubblicazione Autori File
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation 01 - Articolo su rivista 2023 Cappozzo A.Ieva F. +
Graphical and computational tools to guide parameter choice for the cluster weighted robust model 01 - Articolo su rivista 2023 Cappozzo, AndreaGreselin, Francesca +
Variational inference for semiparametric Bayesian novelty detection in large datasets 01 - Articolo su rivista 2023 Cappozzo A.Denti F. +
Correction to: A two-stage Bayesian semiparametricmodel for novelty detection with robust prior information (Statistics and Computing, (2021), 31, 4, (42), 10.1007/s11222-021-10017-7) 99 - Altro 2022 Denti, FCappozzo, AGreselin, F
Monitoring Hyperparameter Choice for Robust Cluster Weighted Model 03 - Contributo in libro 2022 Andrea CappozzoFrancesca Greselin +
Outlier and Novelty Detection for Functional Data: a Semiparametric BayesianApproach 03 - Contributo in libro 2022 Francesco DentiAndrea CappozzoFrancesca Greselin
A two-stage Bayesian semiparametric model for novelty detection with robust prior information 01 - Articolo su rivista 2021 Denti, FCappozzo, AGreselin, F
Exploring solutions via monitoring for cluster weighted robust models 03 - Contributo in libro 2021 Cappozzo, AGreselin, F. +
Monitoring tools for Cluster Weighted Robust Models 03 - Contributo in libro 2021 Cappozzo AndreaGRESELIN Francesca
Robust classification of spectroscopic data in agri-food: first analysis on the stability of results 03 - Contributo in libro 2021 Cappozzo AndreaGreselin Francesca +
Robust Model-Based Learning to Discover New Wheat Varieties and Discriminate Adulterated Kernels in X-Ray Images 03 - Contributo in libro 2021 Cappozzo A.Greselin F. +
Robust variable selection for model-based learning in presence of adulteration 01 - Articolo su rivista 2021 Cappozzo, AndreaGreselin, Francesca +
Robust variable selection in the framework of classification with label noise and outliers: Applications to spectroscopic data in agri-food 01 - Articolo su rivista 2021 Cappozzo A.Greselin F. +
A robust approach to model-based classification based on trimming and constraints: Semi-supervised learning in presence of outliers and label noise 01 - Articolo su rivista 2020 Cappozzo, AndreaGreselin, Francesca +
Anomaly and Novelty detection for robust semi-supervised learning 01 - Articolo su rivista 2020 Cappozzo, AGreselin, F +
Bayesian nonparametric adaptive classification with robust prior information 03 - Contributo in libro 2020 Denti, FCappozzo, AGreselin F
Robust model-based classification and clustering: advances in learning from contaminated datasets 07 - Tesi di dottorato Bicocca post 2009 2020 CAPPOZZO, ANDREA
Variable selection for robust model-based learning from contaminated data 03 - Contributo in libro 2020 Cappozzo, AGreselin, F +
Detecting wine adulterations employing robust mixture of factor analyzers 03 - Contributo in libro 2019 Cappozzo, AGreselin, F
Predicting and improving smart mobility: a robust model-based approach to the BikeMi BSS 03 - Contributo in libro 2019 Cappozzo A.Greselin F. +