Generative Adversarial Active Learning for Unsupervised Outlier Detection

Keywords

Outlier, Discriminator, Anomaly detection, Generator (circuit theory), Computer science

References

• A decomposition of the outlier detection problem into a set of supervised learning problemsHeiko Paulheim, Robert Meusel — 2015
• Novelty Detection using One-class Parzen Density Estimator. An Application to Surveillance of Nosocomial InfectionsGilles Cohen, Hugo Sax, Antoine Geissbühler — 2008
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• One class random forestsChesner Désir, Simon Bernard, Caroline Petitjean — 2013
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• Outlier detection by active learningNaoki Abe, Bianca Zadrozny, John Langford — 2006
• Outlier Detection for Temporal Data: A SurveyManish Gupta, Jing Gao, Charų C. Aggarwal — 2014
• Direct Robust Matrix Factorizatoin for Anomaly DetectionLiang Xiong, Xi Chen, Jeff Schneider — 2011
• A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional dataNinh Pham, Rasmus Pagh — 2012
• Adaptive Anomaly Detection with Kernel Eigenspace Splitting and MergingColin O’Reilly, Alexander Gluhak, Muhammad Ali Imran — 2015
• FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call DetectionVincent S. Tseng, Josh Jia-Ching Ying, Che-Wei Huang — 2015
• Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier DetectionMiloš Radovanović, Αλέξανδρος Νανόπουλος, Mirjana Ivanović — 2015
• Efficient algorithms for mining outliers from large data setsSridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim — 2000
• Estimating the Support of a High-Dimensional DistributionBernhard Schölkopf, John Platt, John Shawe‐Taylor — 2001
• LOF: identifying density-based local outliersMarkus Breunig, Hans‐Peter Kriegel, Raymond T. Ng — 2000
• Using artificial anomalies to detect unknown and known network intrusionsW. Fan, Matthew L. Miller, Sal Stolfo — 2001
• A Classification Framework for Anomaly DetectionIngo Steinwart, Don Hush, Clint Scovel — 2005
• Locally Adaptive Density Ratio for Detecting Novelty in Twitter StreamsYun-Qian Miao, Ahmed Farahat, Mohamed S. Kamel — 2015
• ATD: Anomalous Topic Discovery in High Dimensional Discrete DataHossein Soleimani, David J. Miller — 2015
• On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical studyGuilherme O. Campos, Arthur Zimek, Jörg Sander — 2016

Cited by

• PyOD: A Python Toolbox for Scalable Outlier DetectionYue Zhao, Zain Nasrullah, Zheng Li — 2019
• Graph Adversarial Training: Dynamically Regularizing Based on Graph StructureFuli Feng, Xiangnan He, Jie Tang — 2019
• Progress in Outlier Detection Techniques: A SurveyHongzhi Wang, Mohamed Jaward Bah, Mohamed Hammad — 2019
• Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative NetworkSiqi Wang, Yijie Zeng, Xinwang Liu — 2019
• Robust deep auto-encoding Gaussian process regression for unsupervised anomaly detectionJinan Fan, Qianru Zhang, Jialei Zhu — 2020
• Active learning for event detection in support of disaster analysis applicationsNaina Said, Kashif Ahmad, Nicola Conci — 2019
• Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty DetectionPhilippe Burlina, Neil Joshi, I-Jeng Wang — 2019
• adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detectionXuhong Wang, Ying Du, Shijie Lin — 2019
• Multi-Dimensional Processing for Big Data with NoiseYong Shi — 2019
• A Review on Generative Adversarial Networks: Algorithms, Theory, and ApplicationsJie Gui, Zhenan Sun, Yonggang Wen — 2020
• Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral Anomaly DetectionTao Jiang, Yunsong Li, Weiying Xie — 2020
• SUOD: Toward Scalable Unsupervised Outlier DetectionYue Zhao, Xueying Ding, Jianing Yang — 2020
• Outlier Guided Optimization of Abdominal SegmentationYuchen Xu, Olivia Tang, Yucheng Tang — 2020
• A flexible outlier detector based on a topology given by graph communitiesOriol Ramos Terrades, Albert Berenguel, Débora Gil — 2020
• RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified AnomaliesZhe Li, Chunhua Sun, Chunli Liu — 2020
• SUOD: A Scalable Unsupervised Outlier Detection FrameworkYue Zhao, Xiyang Hu, Cheng Cheng — 2020
• MIM-Based Generative Adversarial Networks and Its Application on Anomaly DetectionRui She, Pingyi Fan — 2020
• Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient DescentDong Wang, Xiaoqian Qin, Fengyi Song — 2020
• Systematic Ensemble Model Selection Approach for Educational Data MiningMohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif — 2020
• Transformation Based Deep Anomaly Detection in Astronomical ImagesEsteban Reyes, P. A. Estévez — 2020

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