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Less is More: Building Selective Anomaly Ensembles

Less is More: Building Selective Anomaly Ensembles

Shebuti Rayana
Leman Akoglu
ArXiv (abs)PDFHTML

Papers citing "Less is More: Building Selective Anomaly Ensembles"

6 / 6 papers shown
Title
Ensemble Grammar Induction For Detecting Anomalies in Time Series
Ensemble Grammar Induction For Detecting Anomalies in Time Series
Yifeng Gao
Jessica Lin
C. Brif
AI4TS
52
11
0
29 Jan 2020
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
Siddharth Bhatia
Bryan Hooi
Minji Yoon
Kijung Shin
Christos Faloutsos
79
105
0
11 Nov 2019
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection
Hamed Sarvari
C. Domeniconi
Bardh Prenkaj
Giovanni Stilo
UQCV
57
19
0
22 Oct 2019
Graph-based Selective Outlier Ensembles
Graph-based Selective Outlier Ensembles
Hamed Sarvari
C. Domeniconi
Giovanni Stilo
32
3
0
17 Apr 2018
A Bayesian Ensemble for Unsupervised Anomaly Detection
A Bayesian Ensemble for Unsupervised Anomaly Detection
Edward Yu
Parth Parekh
20
7
0
24 Oct 2016
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective
Shebuti Rayana
Wen Zhong
Leman Akoglu
45
65
0
18 Sep 2016