Core Concepts
Cross-conformal anomaly detection methods provide reliable uncertainty quantification for anomaly detection systems, enhancing trust and reducing costs related to false discoveries.
Stats
"The split-conformal method reliably controls the FDR at the nominal level α = 0.2."
"CV+AD and J+AD exhibit smaller FDR and smaller FDR at the 90th percentile beyond the marginal case."
"Cross-conformal detectors tend to outperform split-conformal detectors regarding statistical power."
Quotes
"Cross-conformal methods offer a natural and effective addition to the field of conformal anomaly detection."
"Results show that cross-conformal methods exhibit higher statistical power and stability compared to split-conformal methods."