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Supervised Anomaly Detection

In the training set, the amount of abnormal samples is limited and significant fewer than normal samples, producing data distributions that lead to a naturally imbalanced learning problem.

Papers

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Showing 126–150 of 155 papers

TitleStatusHype
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly DetectionCode0
Weakly-Supervised Video Anomaly Detection with Snippet Anomalous AttentionCode0
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance VideosCode0
Weakly Supervised Anomaly Detection for Chest X-Ray ImageCode0
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?Code0
Semi-supervised Anomaly Detection on Attributed GraphsCode0
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled DataCode0
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly ScoresCode0
Hop-Count Based Self-Supervised Anomaly Detection on Attributed NetworksCode0
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor SignalsCode0
Understanding Bias in Anomaly Detection: A Semi-Supervised View with PAC GuaranteesCode0
Unseen Anomaly Detection on Networks via Multi-Hypersphere LearningCode0
Graph Fairing Convolutional Networks for Anomaly DetectionCode0
Deep Weakly-supervised Anomaly DetectionCode0
Confidence-Aware and Self-Supervised Image Anomaly LocalisationCode0
R2-AD2: Detecting Anomalies by Analysing the Raw GradientCode0
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time SeriesCode0
A One-Class Classification method based on Expanded Non-Convex HullsCode0
Multi-Normal Prototypes Learning for Weakly Supervised Anomaly DetectionCode0
Weakly-Supervised Anomaly Detection in the Milky WayCode0
Revisiting Non-separable Binary Classification and its Applications in Anomaly DetectionCode0
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videosCode0
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly DetectionCode0
SADDE: Semi-supervised Anomaly Detection with Dependable ExplanationsCode0
GANomaly: Semi-Supervised Anomaly Detection via Adversarial TrainingCode0
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