A shallow patch-based broad learning system with a random-perturbation contrastive branch and multi-scale patch ensembling reports state-of-the-art unsupervised time series anomaly detection on five benchmarks.
Simad: A simple dissimilarity-based approach for time series anomaly detection,
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A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System
A shallow patch-based broad learning system with a random-perturbation contrastive branch and multi-scale patch ensembling reports state-of-the-art unsupervised time series anomaly detection on five benchmarks.