ملف الباحث
Adam Ulrich
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Depth estimation in half-space trees and feature range formulation for novelty detection
2026 · Information Sciences
Tree-based methods such as Isolation Forest (iForest) and Half-Space Trees (HS-Trees) are widely used for unsupervised anomaly detection due to their efficiency and scalability. However, the classical depth estimator $c(n)$, originally derived for iForest under …