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One-Class Classification

One-class classification (OCC) algorithms serve a crucial role in scenarios where the negative class is either absent, poorly sampled, or not well defined. This unique situation presents a challenge for building effective classifiers, as they must delineate the class boundary solely based on knowledge of the positive class. OCC has found application in various research domains, including outlier/novelty detection and concept learning.

In the context of anomaly detection, OCC models are trained exclusively on "normal" data and are subsequently tasked with identifying anomalous patterns during inference.

A one-class classifier aims at capturing characteristics of training instances, in order to be able to distinguish between them and potential outliers to appear.

— Page 139, Learning from Imbalanced Data Sets, 2018.

Papers

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Showing 51–100 of 227 papers

TitleStatusHype
Applying support vector data description for fraud detection—0
Deep One-Class Classification Using Intra-Class Splitting—0
Deep Visual Anomaly detection with Negative Learning—0
Lp-Norm Constrained One-Class Classifier Combination—0
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields—0
Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders—0
Average Localised Proximity: A new data descriptor with good default one-class classification performance—0
On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios—0
DOC3-Deep One Class Classification using Contradictions—0
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection—0
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification—0
DROCC: Deep Robust One-Class Classification—0
Credit Card Fraud Detection with Subspace Learning-based One-Class Classification—0
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders—0
An Upper Bound for the Distribution Overlap Index and Its Applications—0
Learning The Likelihood Test With One-Class Classifiers for Physical Layer Authentication—0
G2D: Generate to Detect Anomaly—0
Convolutional autoencoder-based multimodal one-class classification—0
Contextual One-Class Classification in Data Streams—0
FROCC: Fast Random projection-based One-Class Classification—0
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images—0
Conical Classification For Efficient One-Class Topic Determination—0
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection—0
Conical Classification For Computationally Efficient One-Class Topic Determination—0
Anomaly detection with semi-supervised classification based on risk estimators—0
Active anomaly detection based on deep one-class classification—0
Federated Learning-based Active Authentication on Mobile Devices—0
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection—0
Conceptron: a probabilistic deep one-class classification method—0
Combining One-Class Classifiers via Meta-Learning—0
FROB: Few-shot ROBust Model for Classification with Out-of-Distribution Detection—0
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection—0
Exploring the Optimization Objective of One-Class Classification for Anomaly Detection—0
From Pixels to Trajectory: Universal Adversarial Example Detection via Temporal Imprints—0
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information—0
Anomaly Detection in Smart Power Grids with Graph-Regularized MS-SVDD: a Multimodal Subspace Learning Approach—0
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats—0
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection—0
Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising—0
Generalizing Fingerprint Spoof Detector: Learning a One-Class Classifier—0
Generative Cooperative Learning for Unsupervised Video Anomaly Detection—0
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)—0
Critical Review for One-class Classification: recent advances and the reality behind them—0
A Perceptron-based Fine Approximation Technique for Linear Separation—0
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification—0
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification—0
Entropic one-class classifiers—0
Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing—0
Deep Inverse Reinforcement Learning via Adversarial One-Class Classification—0
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition—0
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