Model-based Density Estimation by Independent Factor Analysis. - Daniela G. Calò; Angela Montanari; Cinzia Viroli (GfKl, 2005)

Gene Selection in Classification Problems via Projections onto a Latent Space. - Marilena Pillati; Cinzia Viroli (GfKl, 2005)

Independent factor discriminant analysis. - Angela Montanari; Daniela G. Calò; Cinzia Viroli (Comput. Stat. Data Anal., 2008)

Penalized factor mixture analysis for variable selection in clustered data. - Giuliano Galimberti; Angela Montanari; Cinzia Viroli (Comput. Stat. Data Anal., 2009)

Bayesian inference in non-Gaussian factor analysis. - Cinzia Viroli (Stat. Comput., 2009)

Dimensionally Reduced Model-Based Clustering Through Mixtures of Factor Mixture Analyzers. - Cinzia Viroli (J. Classif., 2010)

A dimensionally reduced finite mixture model for multilevel data. - Daniela G. Calò; Cinzia Viroli (J. Multivar. Anal., 2010)

Maximum likelihood estimation of mixtures of factor analyzers. - Angela Montanari; Cinzia Viroli (Comput. Stat. Data Anal., 2011)

Finite mixtures of matrix normal distributions for classifying three-way data. - Cinzia Viroli (Stat. Comput., 2011)

On matrix-variate regression analysis. - Cinzia Viroli (J. Multivar. Anal., 2012)

A hierarchical modeling approach for clustering probability density functions. - Daniela G. Calò; Angela Montanari; Cinzia Viroli (Comput. Stat. Data Anal., 2014)

Going deep in clustering high-dimensional data: deep mixtures of unigrams for uncovering topics in textual data. - Laura Anderlucci; Cinzia Viroli (CoRR, 2019)

Classifying textual data: shallow, deep and ensemble methods. - Laura Anderlucci; Lucia Guastadisegni; Cinzia Viroli (CoRR, 2019)

Deep Gaussian mixture models. - Cinzia Viroli; Geoffrey J. McLachlan (Stat. Comput., 2019)

Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data. - Laura Anderlucci; Cinzia Viroli (Adv. Data Anal. Classif., 2020)

Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets. - Robin Fuchs; Denys Pommeret; Cinzia Viroli (CoRR, 2020)

Deep mixtures of unigrams for uncovering topics in textual data. - Cinzia Viroli; Laura Anderlucci (Stat. Comput., 2021)

Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets. - Robin Fuchs; Denys Pommeret; Cinzia Viroli (Adv. Data Anal. Classif., 2022)

Dealing with overdispersion in multivariate count data. - Noemi Corsini; Cinzia Viroli (Comput. Stat. Data Anal., 2022)

Directional Quantile Classifiers. - Alessio Farcomeni; Marco Geraci; Cinzia Viroli (J. Comput. Graph. Stat., 2022)

Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers. - Edoardo Redivo; Cinzia Viroli; Alessio Farcomeni (Stat. Comput., 2023)

Editorial: Journal of Classification Vol. 41-3. - Mark de Rooij; Brian C. Franczak; Cinzia Viroli; Arthur White; Paul D. McNicholas (J. Classif., 2024)

Mean-restricted Matrix-variate Normals with an application to clustering. - Marco Berrettini; Giuliano Galimberti; Cinzia Viroli (Stat. Comput., 2025)