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20232026
most citedAnomaly Detection Based on Isolation Mechanisms: A Survey

23 citations · 23 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

Learning to Unlearn: Machine Unlearning via Learning the Unlearning Behaviors

Hang Zhang, Kaifeng Zhang, Yixiao Ma +3

Various machine unlearning techniques have been developed in response to privacy legislation requirements, enabling individuals to exercise their legal right to have their data $D_…

cs.LG2025

SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection

Yang Xu, Hang Zhang, Yixiao Ma +2

The core problem in multi-view anomaly detection is to represent local neighborhoods of normal instances consistently across all views. Recent approaches consider a representation…

cs.LG2024

An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel

Xinpeng Li, Zile Jiang, Kai Ming Ting +1

Automatic Modulation Classification (AMC), as a crucial technique in modern non-cooperative communication networks, plays a key role in various civil and military applications. How…

cs.LG2024

Distributed Clustering based on Distributional Kernel

Hang Zhang, Yang Xu, Lei Gong +2

This paper introduces a new framework for clustering in a distributed network called Distributed Clustering based on Distributional Kernel (K) or KDC that produces the final cluste…

cs.LG2024★ 23 cited

Anomaly Detection Based on Isolation Mechanisms: A Survey

Yang Cao, Haolong Xiang, Hang Zhang +2

Anomaly detection is a longstanding and active research area that has many applications in domains such as finance, security, and manufacturing. However, the efficiency and perform…