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20182022
most citedRobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

87 citations · 117 across the 5 of their papers we have counts for

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Showing 2019Show all

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cs.LG2019★ 3 cited

RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering

Qingsong Wen, Jingkun Gao, Xiaomin Song +2

Extracting the underlying trend signal is a crucial step to facilitate time series analysis like forecasting and anomaly detection. Besides noise signal, time series can contain no…