80 citations · 104 across the 4 of their papers we have counts for
4 papers
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective
Shebuti Rayana, Wen Zhong, Leman Akoglu
Ensemble methods for classification and clustering have been effectively used for decades, while ensemble learning for outlier detection has only been studied recently. In this wor…
Where Graph Topology Matters: The Robust Subgraph Problem
Hau Chan, Shuchu Han, Leman Akoglu
Robustness is a critical measure of the resilience of large networked systems, such as transportation and communication networks. Most prior works focus on the global robustness of…
Less is More: Building Selective Anomaly Ensembles
Shebuti Rayana, Leman Akoglu
Ensemble techniques for classification and clustering have long proven effective, yet anomaly ensembles have been barely studied. In this work, we tap into this gap and propose a n…
Graph-based Anomaly Detection and Description: A Survey
Leman Akoglu, Hanghang Tong, Danai Koutra
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas such as security, finance, health care, and law enforcement. While numerous techniques…