2 papers
cs.SE2026
HD-GEN: A High-Performance Software System for Human Mobility Data Generation Based on Patterns of Life
Hossein Amiri, Joon-Seok Kim, Hamdi Kavak +4
Understanding individual-level human mobility is critical for a wide range of applications. Real-world trajectory datasets provide valuable insights into movement behaviors and pat…
cs.LG2025
Training Machine Learning Models on Human Spatio-temporal Mobility Data: An Experimental Study [Experiment Paper]
Yueyang Liu, Lance Kennedy, Ruochen Kong +2
Individual-level human mobility prediction has emerged as a significant topic of research with applications in infectious disease monitoring, child, and elderly care. Existing stud…