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2020 – today
- 2024
[j17]Mark de Rooij, Brian C. Franczak, Cinzia Viroli, Arthur White, Paul D. McNicholas:
Editorial: Journal of Classification Vol. 41-3. J. Classif. 41(3): 427-428 (2024)- 2023
- [j16]Edoardo Redivo
, Cinzia Viroli, Alessio Farcomeni:
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers. Stat. Comput. 33(2): 55 (2023) - 2022
- [j15]Robin Fuchs, Denys Pommeret, Cinzia Viroli:
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets. Adv. Data Anal. Classif. 16(1): 31-53 (2022) - [j14]Noemi Corsini, Cinzia Viroli:
Dealing with overdispersion in multivariate count data. Comput. Stat. Data Anal. 170: 107447 (2022) - [j13]Alessio Farcomeni, Marco Geraci, Cinzia Viroli:
Directional Quantile Classifiers. J. Comput. Graph. Stat. 31(3): 907-916 (2022) - 2021
- [j12]Cinzia Viroli, Laura Anderlucci:
Deep mixtures of unigrams for uncovering topics in textual data. Stat. Comput. 31(3): 22 (2021) - 2020
- [j11]Laura Anderlucci, Cinzia Viroli:
Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data. Adv. Data Anal. Classif. 14(4): 759-770 (2020) - [i4]Robin Fuchs, Denys Pommeret, Cinzia Viroli:
Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets. CoRR abs/2010.06661 (2020)
2010 – 2019
- 2019
- [j10]Cinzia Viroli, Geoffrey J. McLachlan:
Deep Gaussian mixture models. Stat. Comput. 29(1): 43-51 (2019) - [i3]Laura Anderlucci, Cinzia Viroli:
Going deep in clustering high-dimensional data: deep mixtures of unigrams for uncovering topics in textual data. CoRR abs/1902.06615 (2019) - [i2]Laura Anderlucci, Lucia Guastadisegni, Cinzia Viroli:
Classifying textual data: shallow, deep and ensemble methods. CoRR abs/1902.07068 (2019) - 2017
- [i1]Cinzia Viroli, Geoffrey J. McLachlan:
Deep Gaussian Mixture Models. CoRR abs/1711.06929 (2017) - 2014
- [j9]Daniela G. Calò, Angela Montanari, Cinzia Viroli:
A hierarchical modeling approach for clustering probability density functions. Comput. Stat. Data Anal. 71: 79-91 (2014) - 2012
- [j8]Cinzia Viroli:
On matrix-variate regression analysis. J. Multivar. Anal. 111: 296-309 (2012) - 2011
- [j7]Angela Montanari, Cinzia Viroli:
Maximum likelihood estimation of mixtures of factor analyzers. Comput. Stat. Data Anal. 55(9): 2712-2723 (2011) - [j6]Cinzia Viroli:
Finite mixtures of matrix normal distributions for classifying three-way data. Stat. Comput. 21(4): 511-522 (2011) - 2010
- [j5]Cinzia Viroli:
Dimensionally Reduced Model-Based Clustering Through Mixtures of Factor Mixture Analyzers. J. Classif. 27(3): 363-388 (2010) - [j4]Daniela G. Calò, Cinzia Viroli:
A dimensionally reduced finite mixture model for multilevel data. J. Multivar. Anal. 101(10): 2543-2553 (2010)
2000 – 2009
- 2009
- [j3]Giuliano Galimberti, Angela Montanari, Cinzia Viroli:
Penalized factor mixture analysis for variable selection in clustered data. Comput. Stat. Data Anal. 53(12): 4301-4310 (2009) - [j2]Cinzia Viroli:
Bayesian inference in non-Gaussian factor analysis. Stat. Comput. 19(4): 451-463 (2009) - 2008
- [j1]Angela Montanari, Daniela G. Calò, Cinzia Viroli:
Independent factor discriminant analysis. Comput. Stat. Data Anal. 52(6): 3246-3254 (2008) - 2005
- [c2]Daniela G. Calò, Angela Montanari, Cinzia Viroli:
Model-based Density Estimation by Independent Factor Analysis. GfKl 2005: 166-173 - [c1]Marilena Pillati, Cinzia Viroli:
Gene Selection in Classification Problems via Projections onto a Latent Space. GfKl 2005: 182-189
Coauthor Index
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