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 41–50 of 155 papers

Title	Date	Tasks	Status	Score
A One-Class Classification method based on Expanded Non-Convex Hulls	Aug 1, 2022	Anomaly DetectionOne-Class Classification	CodeCode Available	5
Deep Semi-Supervised Anomaly Detection	Jun 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available	5
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks	Feb 3, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	5
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection	May 10, 2024	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	5
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection	Aug 21, 2023	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	5
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data	May 29, 2024	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	5
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos	Jan 9, 2018	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	5
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores	Apr 9, 2020	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	5
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study	Apr 30, 2024	Anomaly DetectionAnomaly Segmentation	CodeCode Available	5
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?	Jul 5, 2016	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	5

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