3 papers
cs.LG2026
Privacy Evaluation of Generative Models for Trajectory Generation
Stavros Bouras, Ioannis Kontopoulos, Chiara Pugliese +5
Trajectory data is fundamental to modern urban intelligence, yet its sensitivity raises significant privacy concerns. Generative models such as Generative Adversarial Networks, Var…
cs.DC2025
Decentralized and Self-adaptive Core Maintenance on Temporal Graphs
Davide Rucci, Emanuele Carlini, Patrizio Dazzi +2
Key graph-based problems play a central role in understanding network topology and uncovering patterns of similarity in homogeneous and temporal data. Such patterns can be revealed…
cs.LG2025
ImPORTance: Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency
Emanuele Carlini, Domenico Di Gangi, Vinicius Monteiro de Lira +3
Seaports play a crucial role in the global economy, and researchers have sought to understand their significance through various studies. In this paper, we aim to explore the commo…