Open access
2026
Multi-Model Fusion for Anomaly Detection
This work investigates a multi-model fusion strategy to improve robustness under heterogeneous detector behavior and proposes fusion techniques including majority voting, probability averaging, the ordered weighted averaging operator, the Choquet integral, and the Takagi-Sugeno model.
Łukasz Gałka, Grzegorz Kozieł, Marta Dziuba-Kozieł
· IEEE Access · 0 citations