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One-class classifier
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Locally Adaptive One-Class Classifier Fusion with Dynamic $\ell$p-Norm Constraints for Robust Anomaly Detection
FedMSE: Federated learning for IoT network intrusion detection
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor
Quality assurance of organs-at-risk delineation in radiotherapy
Beyond the Known: Adversarial Autoencoders in Novelty Detection
Generative Semi-supervised Graph Anomaly Detection
One-class anomaly detection through color-to-thermal AI for building envelope inspection
Lp-Norm Constrained One-Class Classifier Combination
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
Two-Factor Authentication Approach Based on Behavior Patterns for Defeating Puppet Attacks
An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
Morse Neural Networks for Uncertainty Quantification
UNTAG: LEARNING GENERIC FEATURES FOR UNSUPERVISED TYPE-AGNOSTIC DEEPFAKE DETECTION
A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images
Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity
An Upper Bound for the Distribution Overlap Index and Its Applications
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection
Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection
One-Class Risk Estimation for One-Class Hyperspectral Image Classification
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures
OCFormer: One-Class Transformer Network for Image Classification
SIFT and SURF based feature extraction for the anomaly detection
Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Flow-based SVDD for anomaly detection
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection
Shell Theory: A Statistical Model of Reality
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection
Learning and Evaluating Representations for Deep One-class Classification
OneFlow: One-class flow for anomaly detection based on a minimal volume region
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.