5 citations · 5 across the 3 of their papers we have counts for
4 papers
Matrix sketching for supervised classification with imbalanced classes
Roberta Falcone, Angela Montanari, Laura Anderlucci
Matrix sketching is a recently developed data compression technique. An input matrix A is efficiently approximated with a smaller matrix B, so that B preserves most of the properti…
One-class classification with application to forensic analysis
Laura Anderlucci, Francesca Fortunato, Angela Montanari
The analysis of broken glass is forensically important to reconstruct the events of a criminal act. In particular, the comparison between the glass fragments found on a suspect (re…
Classifying textual data: shallow, deep and ensemble methods
Laura Anderlucci, Lucia Guastadisegni, Cinzia Viroli
This paper focuses on a comparative evaluation of the most common and modern methods for text classification, including the recent deep learning strategies and ensemble methods. Th…
The Importance of Being Clustered: Uncluttering the Trends of Statistics from 1970 to 2015
Laura Anderlucci, Angela Montanari, Cinzia Viroli
In this paper we retrace the recent history of statistics by analyzing all the papers published in five prestigious statistical journals since 1970, namely: Annals of Statistics, B…