2 citations · 3 across the 6 of their papers we have counts for
6 papers
An Infectious Disease Spread Simulation Based on Large Language Model Decision Making
Yonchanok Khaokaew, Ruochen Kong, Andreas Zufle +6
Modelling individual decision-making during infectious disease outbreaks is crucial for understanding behavioural dynamics and informing effective public health interventions. Prio…
Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories
Yueyang Liu, Lance Kennedy, Hossein Amiri +1
Human trajectory anomaly detection has become increasingly important across a wide range of applications, including security surveillance and public health. However, existing traje…
GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Dataset
Hossein Amiri, Richard Yang, Andreas Zufle
Analyzing individual human trajectory data helps our understanding of human mobility and finds many commercial and academic applications. There are two main approaches to accessing…
Kinematic Detection of Anomalies in Human Trajectory Data
Lance Kennedy, Andreas Züfle
Historically, much of the research in understanding, modeling, and mining human trajectory data has focused on where an individual stays. Thus, the focus of existing research has b…
Source Localization for Cross Network Information Diffusion
Chen Ling, Tanmoy Chowdhury, Jie Ji +3
Source localization aims to locate information diffusion sources only given the diffusion observation, which has attracted extensive attention in the past few years. Existing metho…
Large Language Models for Spatial Trajectory Patterns Mining
Zheng Zhang, Hossein Amiri, Zhenke Liu +2
Identifying anomalous human spatial trajectory patterns can indicate dynamic changes in mobility behavior with applications in domains like infectious disease monitoring and elderl…