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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 101–150 of 155 papers

TitleStatusHype
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection—0
Deep Anomaly Detection and Search via Reinforcement Learning—0
Semi-Supervised Anomaly Detection Based on Quadratic Multiform Separation—0
Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection—0
A One-Class Classification method based on Expanded Non-Convex HullsCode0
R2-AD2: Detecting Anomalies by Analysing the Raw GradientCode0
Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook—0
Unseen Anomaly Detection on Networks via Multi-Hypersphere LearningCode0
Semi-supervised anomaly detection algorithm based on KL divergence (SAD-KL)—0
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos—0
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection—0
LesionPaste: One-Shot Anomaly Detection for Medical Images—0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
Anomaly Detection in File Fragment Classification of Image File Formats—0
Adaptive Graph Convolutional Networks for Weakly Supervised Anomaly Detection in Videos—0
Self-Supervised Anomaly Detection by Self-Distillation and Negative SamplingCode0
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods—0
No Shifted Augmentations (NSA): strong baselines for self-supervised Anomaly Detection—0
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in ImagesCode0
From Unsupervised to Semi-supervised Anomaly Detection Methods for HRRP Targets—0
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection—0
Hop-Count Based Self-Supervised Anomaly Detection on Attributed NetworksCode0
Elsa: Energy-based learning for semi-supervised anomaly detection—0
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection—0
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-raysCode0
Understanding Bias in Anomaly Detection: A Semi-Supervised View with PAC GuaranteesCode0
ESAD: End-to-end Deep Semi-supervised Anomaly Detection—0
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection—0
Using Channel State Information for Physical Tamper Attack Detection in OFDM Systems: A Deep Learning Approach—0
Graph Fairing Convolutional Networks for Anomaly DetectionCode0
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels—0
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection—0
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network—0
Anomaly Detection with Domain Adaptation—0
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly ScoresCode0
Semi-supervised Anomaly Detection on Attributed GraphsCode0
AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces—0
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery—0
Deep Weakly-supervised Anomaly DetectionCode0
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods—0
Anomaly Detection with Inexact Labels—0
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices—0
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data—0
Deep Semi-Supervised Anomaly DetectionCode0
Anomaly Detection in Images—0
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators—0
Autoencoding Binary Classifiers for Supervised Anomaly Detection—0
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly DetectionCode0
Anomaly Detection for an E-commerce Pricing System—0
GANomaly: Semi-Supervised Anomaly Detection via Adversarial TrainingCode0
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