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20242026
most citedBeSTAD: Behavior-Aware Spatio-Temporal Anomaly Detection for Human Mobility Data

2 citations · 2 across the 7 of their papers we have counts for

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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.LG2024

NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks

Chris Stanford, Suman Adari, Xishun Liao +10

Collecting real-world mobility data is challenging. It is often fraught with privacy concerns, logistical difficulties, and inherent biases. Moreover, accurately annotating anomali…