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Found 2 papers, 2 papers with code
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection
Despite the prevalence of reconstruction-based deep learning methods, time series anomaly detection remains challenging.
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Anomaly detection in time series analysis is a pivotal task, yet it poses the challenge of discerning normal and abnormal patterns in label-deficient scenarios.
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