3.8 Proceedings Paper

ELITE: Robust Deep Anomaly Detection with Meta Gradient

Related references

Note: Only part of the references are listed.
Proceedings Paper Computer Science, Artificial Intelligence

Latent Space Autoregression for Novelty Detection

Davide Abati et al.

2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)

Review Computer Science, Interdisciplinary Applications

Relief-based feature selection: Introduction and review

Ryan J. Urbanowicz et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Adversarially Learned One-Class Classifier for Novelty Detection

Mohammad Sabokrou et al.

2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Robust, Deep and Inductive Anomaly Detection

Raghavendra Chalapathy et al.

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT I (2017)

Article Computer Science, Artificial Intelligence

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

Sarah M. Erfani et al.

PATTERN RECOGNITION (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Learning Discriminative Reconstructions for Unsupervised Outlier Removal

Yan Xia et al.

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)