Andrea Cappozzo

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
DISARM++: Beyond scanner-free harmonization.
CoRR
Luca Caldera, Lara Cavinato, Alessio Cirone, Isabella Cama, Sara Garbarino, Raffaele Lodi, Fabrizio Tagliavini, Anna Nigri, Silvia De Francesco, Andrea Cappozzo, Michele Piana, Francesca Ieva
2025 J jnl
Model-based clustering for covariance matrices via penalized Wishart mixture models.
Comput. Stat. Data Anal.
Andrea Cappozzo, Alessandro Casa
2025 J jnl
Scoring probability maps in the basketball court with Indicator Kriging estimation.
Comput. Stat.
Mirko Luigi Carlesso, Andrea Cappozzo, Marica Manisera, Paola Zuccolotto
2025 J jnl
Sparse Model-Based Clustering of Three-Way Data via Lasso-Type Penalties.
J. Comput. Graph. Stat.
Andrea Cappozzo, Alessandro Casa, Michael Fop
2024 — conf
DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation.
MLCN@MICCAI
Luca Caldera, Lara Cavinato, Andrea Cappozzo, Isabella Cama, Sara Garbarino, Alessio Cirone, Raffaele Lodi, Fabrizio Tagliavini, Anna Nigri, Silvia De Francesco, Francesca Ieva, RIN-Neuroimaging Network
2024 J jnl
Variational inference for semiparametric Bayesian novelty detection in large datasets.
Adv. Data Anal. Classif.
Luca Benedetti, Eric Boniardi, Leonardo Chiani, Jacopo Ghirri, Marta Mastropietro, Andrea Cappozzo, Francesco Denti
2023 J jnl
Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model.
J. Comput. Graph. Stat.
Andrea Cappozzo, Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Íscar
2022 J jnl
Correction to: A two-stage Bayesian semiparametricmodel for novelty detection with robust prior information.
Stat. Comput.
Francesco Denti, Andrea Cappozzo, Francesca Greselin
2022 J jnl
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering.
J. Classif.
Alessandro Casa, Andrea Cappozzo, Michael Fop
2021 J jnl
A two-stage Bayesian semiparametric model for novelty detection with robust prior information.
Stat. Comput.
Francesco Denti, Andrea Cappozzo, Francesca Greselin
2021 J jnl
Robust variable selection for model-based learning in presence of adulteration.
Comput. Stat. Data Anal.
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
2020 J jnl
A robust approach to model-based classification based on trimming and constraints.
Adv. Data Anal. Classif.
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
2020 J jnl
Anomaly and Novelty detection for robust semi-supervised learning.
Stat. Comput.
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy