61 citations · 67 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
High-dimensional clustering via Random Projections
Laura Anderlucci, Francesca Fortunato, Angela Montanari
In this work, we address the unsupervised classification issue by exploiting the general idea of Random Projection Ensemble. Specifically, we propose to generate a set of low dimen…
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…