On the BowTie manufacturing dataset, 19 unsupervised anomaly detection models show unstable, preprocessing-sensitive performance, and a consensus audit suggests nominal-data contamination affects results.
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From Benchmark Performance to Tool Deployment: Human-in-the-Loop Anomaly Detection
On the BowTie manufacturing dataset, 19 unsupervised anomaly detection models show unstable, preprocessing-sensitive performance, and a consensus audit suggests nominal-data contamination affects results.