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20182023
most citedA Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions

209 citations · 374 across the 12 of their papers we have counts for

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cs.LG2023★ 209 cited

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions

Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley +4

Automating the monitoring of industrial processes has the potential to enhance efficiency and optimize quality by promptly detecting abnormal events and thus facilitating timely in…