2 citations · 3 across the 14 of their papers we have counts for
5 papers · 1 filter
Urban Anomalies: A Simulated Human Mobility Dataset with Injected Anomalies
Hossein Amiri, Ruochen Kong, Andreas Zufle
Human mobility anomaly detection based on location is essential in areas such as public health, safety, welfare, and urban planning. Developing models and approaches for location-b…
The Patterns of Life Human Mobility Simulation
Hossein Amiri, Will Kohn, Shiyang Ruan +6
We demonstrate the Patterns of Life Simulation to create realistic simulations of human mobility in a city. This simulation has recently been used to generate massive amounts of tr…
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories
Zheng Zhang, Hossein Amiri, Dazhou Yu +3
Semantic trajectories, which enrich spatial-temporal data with textual information such as trip purposes or location activities, are key for identifying outlier behaviors critical…
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…