Gabriele Soffritti

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Parsimonious Seemingly Unrelated Contaminated Normal Cluster-Weighted Models.
J. Classif.
Gabriele Perrone, Gabriele Soffritti
2022 J jnl
Multivariate cluster-weighted models based on seemingly unrelated linear regression.
Comput. Stat. Data Anal.
Cecilia Diani, Giuliano Galimberti, Gabriele Soffritti
2021 J jnl
Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models.
J. Classif.
Gabriele Soffritti
2020 J jnl
Seemingly unrelated clusterwise linear regression.
Adv. Data Anal. Classif.
Giuliano Galimberti, Gabriele Soffritti
2018 J jnl
Modelling the role of variables in model-based cluster analysis.
Stat. Comput.
Giuliano Galimberti, Annamaria Manisi, Gabriele Soffritti
2016 J jnl
Using mixtures in seemingly unrelated linear regression models with non-normal errors.
Stat. Comput.
Giuliano Galimberti, Elena Scardovi, Gabriele Soffritti
2014 J jnl
A multivariate linear regression analysis using finite mixtures of t distributions.
Comput. Stat. Data Anal.
Giuliano Galimberti, Gabriele Soffritti
2013 J jnl
Using conditional independence for parsimonious model-based Gaussian clustering.
Stat. Comput.
Giuliano Galimberti, Gabriele Soffritti
2011 J jnl
Multivariate linear regression with non-normal errors: a solution based on mixture models.
Stat. Comput.
Gabriele Soffritti, Giuliano Galimberti
2007 J jnl
Model-based methods to identify multiple cluster structures in a data set.
Comput. Stat. Data Anal.
Giuliano Galimberti, Gabriele Soffritti
2005 — conf
Identifying Multiple Cluster Structures Through Latent Class Models.
GfKl
Giuliano Galimberti, Gabriele Soffritti
2004 J jnl
The comparison between classification trees through proximity measures.
Comput. Stat. Data Anal.
Rossella Miglio, Gabriele Soffritti
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski