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One-class classifier

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Showing 26–50 of 82 papers

TitleStatusHype
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
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
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
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
Quantum One-class Classification With a Distance-based ClassifierCode0
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural NetworksCode0
Policy Entropy for Out-of-Distribution Classification—0
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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