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Supervised Anomaly Detection
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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.
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Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications
Enhanced semi-supervised stamping process monitoring with physically-informed feature extraction
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
A Radon-Nikodým Perspective on Anomaly Detection: Theory and Implications
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection
Deep evolving semi-supervised anomaly detection
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series
SADDE: Semi-supervised Anomaly Detection with Dependable Explanations
Take Package as Language: Anomaly Detection Using Transformer
Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network
Directional anomaly detection
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods
Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis
Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detection
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
Weakly-supervised anomaly detection for multimodal data distributions
Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models
Anomaly Detection by Context Contrasting
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
Supervised Anomaly Detection for Complex Industrial Images
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study
Machine learning-based identification of Gaia astrometric exoplanet orbits
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning
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