2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.AP2025
Modelling higher education dropouts using sparse and interpretable post-clustering logistic regression
Andrea Nigri, Massimo Bilancia, Barbara Cafarelli +1
Higher education dropout constitutes a critical challenge for tertiary education systems worldwide. While machine learning techniques can achieve high predictive accuracy on select…
stat.ML2024★ 2 cited
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors
Massimo Bilancia, Samuele Magro
This paper presents a variant of the Multinomial mixture model tailored to the unsupervised classification of short text data. While the Multinomial probability vector is tradition…