Vlad1808 / anomaly_detection_bootstrappingView external linksLinks
“Anomaly Detection with Bootstrapping” is a software system that applies a bootstrapped statistical workflow to pinpoint and quantify data abnormalities—such as measurement errors, rounding artifacts, mis-recorded values, mislabeled records, and out-of-distribution samples—within large-scale datasets.
☆41May 11, 2025Updated 9 months ago
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