
The authors propose ExIFFI, a novel interpretability approach for the Extended Isolation Forest (EIF) algorithm, and introduce EIF+, an enhanced variant of EIF designed to improve generalization capabilities. The work aims to address the need for interpretable and effective anomaly detection models.


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enhancing-anomaly-detection-with-interpretability-and-generalization-exiffi-and-eif-


Enhancing Anomaly Detection with Interpretability and Generalization: ExIFFI and EIF+
