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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 201–225 of 227 papers

TitleStatusHype
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial TranscriptomicsCode0
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class ClassificationCode0
Graph-Embedded Subspace Support Vector Data DescriptionCode0
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant NetworkCode0
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated DataCode0
Detecting Adversarial Examples for Speech Recognition via Uncertainty QuantificationCode0
Metre as a stylometric feature in Latin hexameter poetryCode0
Adversarial Subspace Generation for Outlier Detection in High-Dimensional DataCode0
Advancing Image Retrieval with Few-Shot Learning and Relevance FeedbackCode0
Generalized Reference Kernel for One-class ClassificationCode0
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring SignalsCode0
One Class Restricted Kernel MachinesCode0
Adversarially Learned One-Class Classifier for Novelty DetectionCode0
One Class Splitting Criteria for Random ForestsCode0
Quantum One-class Classification With a Distance-based ClassifierCode0
Ellipsoidal Subspace Support Vector Data DescriptionCode0
Multimodal Subspace Support Vector Data DescriptionCode0
Query by example in remote sensing image archive using enhanced deep support vector data descriptionCode0
Multi-view Deep One-class Classification: A Systematic ExplorationCode0
Image Outlier Detection Without Training using RANSACCode0
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on TextCode0
NFAD: Fixing anomaly detection using normalizing flowsCode0
One-Class Classification by Ensembles of Regression models -- a detailed studyCode0
Binary Classification from Positive-Confidence DataCode0
OCGEC: One-class Graph Embedding Classification for DNN Backdoor DetectionCode0
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