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Deep Support Vector Data Description with Outlier Exposure for Anomaly Detection

https://doi.org/10.2139/ssrn.4790485
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inferredcites →https://doi.org/10.1007/3-540-48219-9_30openalex-extracted
Combining One-Class Classifiers
inferredcites →https://doi.org/10.1007/978-3-319-59050-9_12openalex-extracted
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
inferredcites →https://doi.org/10.1016/j.ins.2014.12.014openalex-extracted
Probability density function estimation with the frequency polygon transform
inferredcites →https://doi.org/10.1016/j.media.2019.01.010openalex-extracted
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
inferredcites →https://doi.org/10.1016/j.neucom.2021.02.007openalex-extracted
Outlier exposure with confidence control for out-of-distribution detection
inferredcites →https://doi.org/10.1016/j.neucom.2021.04.089openalex-extracted
VAE-based Deep SVDD for anomaly detection
inferredcites →https://doi.org/10.1016/j.neucom.2021.12.093openalex-extracted
GAN-based anomaly detection: A review
inferredcites →https://doi.org/10.1016/j.patcog.2023.109385openalex-extracted
From anomaly detection to open set recognition: Bridging the gap
inferredcites →https://doi.org/10.1016/j.patrec.2021.04.020openalex-extracted
Anomaly detection using improved deep SVDD model with data structure preservation
inferredcites →https://doi.org/10.1023/b:mach.0000008084.60811.49openalex-extracted
Support Vector Data Description
inferredcites →https://doi.org/10.1038/nature14539openalex-extracted
Deep learning
inferredcites →https://doi.org/10.1049/cp:19950597openalex-extracted
Novelty detection for the identification of masses in mammograms
inferredcites →https://doi.org/10.1109/5.726791openalex-extracted
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cac57257.2022.10055459openalex-extracted
Self-Supervised Surface Defect Detection Methods for Industrial Products
inferredcites →https://doi.org/10.1109/cvpr.2019.00057openalex-extracted
Latent Space Autoregression for Novelty Detection
inferredcites →https://doi.org/10.1109/icdm.2008.17openalex-extracted
Isolation Forest
inferredcites →https://doi.org/10.1109/jproc.2021.3052449openalex-extracted
A Unifying Review of Deep and Shallow Anomaly Detection
inferredcites →https://doi.org/10.1109/jproc.2021.3060483openalex-extracted
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
inferredcites →https://doi.org/10.1109/tnnls.2019.2933554openalex-extracted
A Deep One-Class Neural Network for Anomalous Event Detection in Complex Scenes
inferredcites →https://doi.org/10.1109/wts.2018.8363930openalex-extracted
Autoencoder-based network anomaly detection
inferredcites →https://doi.org/10.1137/1.9781611976236.13openalex-extracted
Deep Multi-sphere Support Vector Data Description
inferredcites →https://doi.org/10.1137/1.9781611977653.ch78openalex-extracted
Deep Contrastive One-Class Time Series Anomaly Detection
inferredcites →https://doi.org/10.1145/3422622openalex-extracted
Generative adversarial networks
inferredcites →https://doi.org/10.1145/3439950openalex-extracted
Deep Learning for Anomaly Detection
inferredcites →https://doi.org/10.1145/3468791.3468793openalex-extracted
UNSUPERVISED ANOMALY DETECTION FOR TIME SERIES WITH OUTLIER EXPOSURE
inferredcites →https://doi.org/10.1214/aoms/1177704472openalex-extracted
On Estimation of a Probability Density Function and Mode
inferredcites →https://doi.org/10.23919/eusipco47968.2020.9287325openalex-extracted
Incorporating User Feedback Into One-Class Support Vector Machines for Anomaly Detection
inferredcites →https://doi.org/10.3233/ica-200635openalex-extracted
Deep support vector neural networks
inferredcites →https://doi.org/10.48550/arxiv.1708.07747openalex-extracted
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
inferredcites →https://doi.org/10.48550/arxiv.1802.06222openalex-extracted
Efficient GAN-Based Anomaly Detection
inferredcites →https://doi.org/10.48550/arxiv.1812.04606openalex-extracted
Deep Anomaly Detection with Outlier Exposure
inferredcites →https://doi.org/10.48550/arxiv.2002.12718openalex-extracted
DROCC: Deep Robust One-Class Classification
inferredcites →https://doi.org/10.48550/arxiv.2006.00339openalex-extracted
Rethinking Assumptions in Deep Anomaly Detection
inferredcites →https://doi.org/10.48550/arxiv.2007.01760openalex-extracted
Explainable Deep One-Class Classification
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-extracted
Learning Multiple Layers of Features from Tiny Images
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