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One-class classifier

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Showing 1–50 of 82 papers

TitleStatusHype
Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection—0
Locally Adaptive One-Class Classifier Fusion with Dynamic p-Norm Constraints for Robust Anomaly Detection—0
FedMSE: Federated learning for IoT network intrusion detectionCode1
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor—0
Quality assurance of organs-at-risk delineation in radiotherapy—0
Beyond the Known: Adversarial Autoencoders in Novelty Detection—0
Generative Semi-supervised Graph Anomaly DetectionCode2
One-class anomaly detection through color-to-thermal AI for building envelope inspection—0
Lp-Norm Constrained One-Class Classifier Combination—0
OCGEC: One-class Graph Embedding Classification for DNN Backdoor DetectionCode0
Two-Factor Authentication Approach Based on Behavior Patterns for Defeating Puppet Attacks—0
An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators—0
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation—0
Morse Neural Networks for Uncertainty Quantification—0
UNTAG: LEARNING GENERIC FEATURES FOR UNSUPERVISED TYPE-AGNOSTIC DEEPFAKE DETECTIONCode0
A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images—0
Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity—0
An Upper Bound for the Distribution Overlap Index and Its Applications—0
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection—0
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection—0
Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection—0
One-Class Risk Estimation for One-Class Hyperspectral Image ClassificationCode1
Calibrated One-class Classification for Unsupervised Time Series Anomaly DetectionCode1
Near out-of-distribution detection for low-resolution radar micro-Doppler signaturesCode1
OCFormer: One-Class Transformer Network for Image Classification—0
SIFT and SURF based feature extraction for the anomaly detectionCode0
Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis—0
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection—0
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class ClassifiersCode0
Flow-based SVDD for anomaly detection—0
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection—0
Shell Theory: A Statistical Model of RealityCode0
CutPaste: Self-Supervised Learning for Anomaly Detection and LocalizationCode1
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection—0
One-class Classification Robust to Geometric Transformation—0
Learning and Evaluating Representations for Deep One-class ClassificationCode1
OneFlow: One-class flow for anomaly detection based on a minimal volume region—0
An ensemble of Density based Geometric One-Class Classifier and Genetic Algorithm—0
ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing—0
ARCADe: A Rapid Continual Anomaly DetectorCode1
Quantum One-class Classification With a Distance-based ClassifierCode0
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural NetworksCode0
Few-Shot One-Class Classification via Meta-LearningCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
Policy Entropy for Out-of-Distribution Classification—0
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training ParadigmCode1
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled DataCode0
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders—0
Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data—0
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer OutputCode0
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