111 citations · 129 across the 11 of their papers we have counts for
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cs.LG2019
Transfer Learning from an Auxiliary Discriminative Task for Unsupervised Anomaly Detection
Urwa Muaz, Stanislav Sobolevsky
Unsupervised anomaly detection from high dimensional data like mobility networks is a challenging task. Study of different approaches of feature engineering from such high dimensio…
physics.soc-ph2019★ 6 cited
Pattern and Anomaly Detection in Urban Temporal Networks
Mingyi He, Shivam Pathak, Urwa Muaz +4
Broad spectrum of urban activities including mobility can be modeled as temporal networks evolving over time. Abrupt changes in urban dynamics caused by events such as disruption o…