COPOD: Copula-Based Outlier Detection

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Earlier work this paper cites.

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Earlier work this paper cites.

R. B. Nelsen, An Introduction to Copulas . Springer Science, 2007

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G. O. Campos, A. Zimek, J. Sander, R. J. G. B. Campello, B. Micenková, E. Schubert, I. Assent, and M. E. Houle, “On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study,” DMKD , vol. 30, no. 9-10, pp. 891–927, 2016

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Cited alongside, same era.

Y. Zhao, Z. Nasrullah, and Z. Li, “PyOD: A python toolbox for scalable outlier detection,” Journal of Machine Learning Research , 2019

2019

Cited alongside, same era.

Y. Zhao, Z. Nasrullah, M. K. Hryniewicki, and Z. Li, “LSCP: locally selective combination in parallel outlier ensembles,” in SDM , 2019

2019

Cited alongside, same era.

Y. Liu, Z. Li, C. Zhou, Y. Jiang, J. Sun, M. Wang, and X. He, “Generative adversarial active learning for unsupervised outlier detection,” TKDE , 2019

2019

Cited alongside, same era.

Y. Zhao and M. K. Hryniewicki, “XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning,” IJCNN

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2019

Later among the works it cites.

C. Wan, Z. Li, A. Guo, and Y. Zhao, “SynC: A unified framework for generating synthetic population with gaussian copula,” Workshops at the Thirty-Fourth AAAI Conference on Artificial Intelligence , 2020

2020

Closest in time.

Y. Li, Z. Chen, D. Zha, K. Zhou, H. Jin, H. Chen, and X. Hu, “Autood: Automated outlier detection via curiosity-guided search and self-imitation learning,” arXiv preprint arXiv:2006.11321 , 2020

Original

2020

Closest in time.

Y. Zhao, X. Hu, C. Cheng, C. Wang, C. Xiao, Y. Wang, J. Sun, and L. Akoglu, “Suod: A scalable unsupervised outlier detection framework,” arXiv preprint arXiv:2003.05731 , 2020

Original

2020

Closest in time.