Anomaly Detection on MIT-BIH benchmark leaderboard · SOTA2 Research

Anomaly Detection on MIT-BIH

97.59AUCChronosAD

Evaluation Results

Method	Links
ChronosAD2026.05		97.59	96.95
KalmanAE2026.05		95.06	91.48
BeatGAN2026.05		92.99	89.87
USAD2026.05		88.91	76
Deep-SVDD2026.05		85.76	66.64
NSIBF2026.05		84.53	72.88
ECOD2026.05		80.44	70.39
TLKF2026.05		80.34	72.85
AnoGAN2026.05		75.33	58.75
GTA2026.05		72.96	62.78
GOAD2026.05		72.7	87.61
ALAD2026.05		71.66	62.07