Applying support vector machines to imbalanced datasets, Proc. ECML, pp.39-50, 2004. ,
Ganomaly : Semi-supervised anomaly detection via adversarial training, 2018. ,
Deep learning for anomaly detection : A survey, 2019. ,
Anomaly detection : A survey, ACM Comput. Surv, vol.41, issue.3, 2009. ,
Inverting the generator of A generative adversarial network ,
, , 2018.
Image anomaly detection with generative adversarial networks, Proc. ECML 2018, pp.3-17, 2018. ,
A study on NSL-KDD dataset for intrusion detection system based on classification algorithms, 2015. ,
Deep anomaly detection using geometric transformations, Proc. NIPS 2018, pp.9781-9791, 2018. ,
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos, J. Imaging, vol.4, issue.2, p.36, 2018. ,
The MNIST database of handwritten digits, 1998. ,
ALICE : towards understanding adversarial learning for joint distribution matching, Proc. NIPS 2017, pp.5501-5509, 2017. ,
UCI machine learning repository, 2013. ,
Adversarially learned one-class classifier for novelty detection, Proc. CVPR 2018, pp.3379-3388, 2018. ,
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery, 2017. ,
Support vector method for novelty detection, Advances in neural information processing systems, vol.12, issue.3, pp.582-588, 2000. ,
Controlling the sensitivity of support vector machines, Proc. IJCAI, 1999. ,
Adaptive featurespace conformal transformation for imbalanceddata learning, Proc. ICML 2003, pp.816-823, 2003. ,
Learning discriminative reconstructions for unsupervised outlier removal, Proc. 2015 IEEE International Conference on Computer Vision (ICCV'15), pp.1511-1519, 2015. ,
Unsupervised anomaly detection via variational auto-encoder for seasonal KPIs in web applications, 2018. ,
Efficient GAN-based anomaly detection, 2018. ,
Adversarially learned anomaly detection, Proc. ICDM 2018, pp.727-736, 2018. ,