3 papers
cs.LG2024
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework
Minxuan Duan, Yinlong Qian, Lingyi Zhao +4
Existing methods for anomaly detection often fall short due to their inability to handle the complexity, heterogeneity, and high dimensionality inherent in real-world mobility data…
cs.LG2022
Learning Citywide Patterns of Life from Trajectory Monitoring
Mark Tenzer, Zeeshan Rasheed, Khurram Shafique
The recent proliferation of real-world human mobility datasets has catalyzed geospatial and transportation research in trajectory prediction, demand forecasting, travel time estima…
cs.LG2022
Meta-Learning over Time for Destination Prediction Tasks
Mark Tenzer, Zeeshan Rasheed, Khurram Shafique +1
A need to understand and predict vehicles' behavior underlies both public and private goals in the transportation domain, including urban planning and management, ride-sharing serv…