AeroTSBoost reports the highest AUPRC on UAV-SEAD (0.7516) and ALFA datasets by combining deterministic distributional, quantile, drift, dynamics and lag features with LightGBM.
GCAD: Anomaly detection in multivariate time series from the perspective of granger causality,
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AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining
AeroTSBoost reports the highest AUPRC on UAV-SEAD (0.7516) and ALFA datasets by combining deterministic distributional, quantile, drift, dynamics and lag features with LightGBM.