SOTAVerified

One-class classifier

Papers

Showing 150 of 82 papers

TitleStatusHype
Generative Semi-supervised Graph Anomaly DetectionCode2
Learning and Evaluating Representations for Deep One-class ClassificationCode1
One-Class Risk Estimation for One-Class Hyperspectral Image ClassificationCode1
CutPaste: Self-Supervised Learning for Anomaly Detection and LocalizationCode1
Calibrated One-class Classification for Unsupervised Time Series Anomaly DetectionCode1
FedMSE: Federated learning for IoT network intrusion detectionCode1
Few-Shot One-Class Classification via Meta-LearningCode1
Near out-of-distribution detection for low-resolution radar micro-Doppler signaturesCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training ParadigmCode1
ARCADe: A Rapid Continual Anomaly DetectorCode1
Shell Theory: A Statistical Model of RealityCode0
SIFT and SURF based feature extraction for the anomaly detectionCode0
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class ClassifiersCode0
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring SignalsCode0
OCGEC: One-class Graph Embedding Classification for DNN Backdoor DetectionCode0
UNTAG: LEARNING GENERIC FEATURES FOR UNSUPERVISED TYPE-AGNOSTIC DEEPFAKE DETECTIONCode0
Adversarially Learned One-Class Classifier for Novelty DetectionCode0
Generative Probabilistic Novelty Detection with Adversarial AutoencodersCode0
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer OutputCode0
Automatic support vector data descriptionCode0
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural NetworksCode0
Localized Multiple Kernel Learning for Anomaly Detection: One-class ClassificationCode0
Quantum One-class Classification With a Distance-based ClassifierCode0
Satellite Image Forgery Detection and Localization Using GAN and One-Class ClassifierCode0
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled DataCode0
Active Authentication using an Autoencoder regularized CNN-based One-Class ClassifierCode0
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders0
Locally Adaptive One-Class Classifier Fusion with Dynamic p-Norm Constraints for Robust Anomaly Detection0
Lp-Norm Constrained One-Class Classifier Combination0
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Learning and One-Class Classification0
Morse Neural Networks for Uncertainty Quantification0
Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis0
Multi-layer Kernel Ridge Regression for One-class Classification0
OCFormer: One-Class Transformer Network for Image Classification0
One-class anomaly detection through color-to-thermal AI for building envelope inspection0
One-class Classification Robust to Geometric Transformation0
One-class classifiers based on entropic spanning graphs0
One-Class Kernel Spectral Regression0
One-Class Slab Support Vector Machine0
Online Learning with Regularized Kernel for One-class Classification0
Online Signature Verification using Deep Representation: A new Descriptor0
Outlier Detection by Consistent Data Selection Method0
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor0
Policy Entropy for Out-of-Distribution Classification0
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation0
Quality assurance of organs-at-risk delineation in radiotherapy0
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information)0
Semi-supervised Outlier Detection using Generative And Adversary Framework0
Strictly Proper Kernel Scoring Rules and Divergences with an Application to Kernel Two-Sample Hypothesis Testing0
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