1 citations · 1 across the 5 of their papers we have counts for
5 papers
Secrets Everywhere: Auditing Memorization in Mobility Prediction Models
Anne Josiane Kouam, Hristo Boyadzhiev, Konrad Rieck
Human mobility prediction models, which forecast the next location in a user's trajectory, are increasingly deployed in urban analytics, navigation, and personalized services. Yet,…
The NetMob25 Dataset: A High-resolution Multi-layered View of Individual Mobility in Greater Paris Region
Alexandre Chasse, Anne J. Kouam, Aline C. Viana +7
High-quality mobility data remains scarce despite growing interest from researchers and urban stakeholders in understanding individual-level movement patterns. The Netmob25 Data Ch…
SigN: SIMBox Activity Detection Through Latency Anomalies at the Cellular Edge
Anne Josiane Kouam, Aline Carneiro Viana, Philippe Martins +2
Despite their widespread adoption, cellular networks face growing vulnerabilities due to their inherent complexity and the integration of advanced technologies. One of the major th…
Characterizing User Behavior: The Interplay Between Mobility Patterns and Mobile Traffic
Anne Josiane Kouam, Aline Carneiro Viana, Mariano G. Beiró +2
Mobile devices have become essential for capturing human activity, and eXtended Data Records (XDRs) offer rich opportunities for detailed user behavior modeling, which is useful fo…
Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions
Anne Josiane Kouam, Aline Carneiro Viana, Alain Tchana
Domain-wide recognized by their high value in human presence and activity studies, cellular network datasets (i.e., Charging Data Records, named CdRs), however, present accessibili…