3 papers
stat.ME2026
Hierarchical excitatory processes for modelling event-time data in the presence of exogenous stimuli
Francesco Sanna Passino, Nicholas A. Heard, Jeffrey W. Brown +2
We introduce the Hierarchical Excitatory Process (HEP), a flexible point process model for event-time data observed under repeated external stimuli. The proposed framework models t…
cs.LG2026
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Raphaël Romero, Tijl De Bie, Nick Heard +1
Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within eac…
cs.CR2024
Nested Dirichlet models for unsupervised attack pattern detection in honeypot data
Francesco Sanna Passino, Anastasia Mantziou, Daniyar Ghani +3
Cyber-systems are under near-constant threat from intrusion attempts. Attacks types vary, but each attempt typically has a specific underlying intent, and the perpetrators are typi…