Cinzia Viroli

Orcid: 0000-0002-3278-5266

According to our database1, Cinzia Viroli authored at least 21 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2023
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers.
Stat. Comput., April, 2023

2022
Directional Quantile Classifiers.
J. Comput. Graph. Stat., July, 2022

Dealing with overdispersion in multivariate count data.
Comput. Stat. Data Anal., 2022

Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets.
Adv. Data Anal. Classif., 2022

2021
Deep mixtures of unigrams for uncovering topics in textual data.
Stat. Comput., 2021

2020
Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets.
CoRR, 2020

Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data.
Adv. Data Anal. Classif., 2020

2019
Deep Gaussian mixture models.
Stat. Comput., 2019

Classifying textual data: shallow, deep and ensemble methods.
CoRR, 2019

Going deep in clustering high-dimensional data: deep mixtures of unigrams for uncovering topics in textual data.
CoRR, 2019

2014
A hierarchical modeling approach for clustering probability density functions.
Comput. Stat. Data Anal., 2014

2012
On matrix-variate regression analysis.
J. Multivar. Anal., 2012

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

Maximum likelihood estimation of mixtures of factor analyzers.
Comput. Stat. Data Anal., 2011

2010
A dimensionally reduced finite mixture model for multilevel data.
J. Multivar. Anal., 2010

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

2009
Bayesian inference in non-Gaussian factor analysis.
Stat. Comput., 2009

Penalized factor mixture analysis for variable selection in clustered data.
Comput. Stat. Data Anal., 2009

2008
Independent factor discriminant analysis.
Comput. Stat. Data Anal., 2008

2005
Gene Selection in Classification Problems via Projections onto a Latent Space.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Model-based Density Estimation by Independent Factor Analysis.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005


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