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One-class classifier

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Showing 26–50 of 82 papers

TitleStatusHype
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 Autoencoders—0
Locally Adaptive One-Class Classifier Fusion with Dynamic p-Norm Constraints for Robust Anomaly Detection—0
Lp-Norm Constrained One-Class Classifier Combination—0
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Learning and One-Class Classification—0
Morse Neural Networks for Uncertainty Quantification—0
Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis—0
Multi-layer Kernel Ridge Regression for One-class Classification—0
OCFormer: One-Class Transformer Network for Image Classification—0
One-class anomaly detection through color-to-thermal AI for building envelope inspection—0
One-class Classification Robust to Geometric Transformation—0
One-class classifiers based on entropic spanning graphs—0
One-Class Kernel Spectral Regression—0
One-Class Slab Support Vector Machine—0
Online Learning with Regularized Kernel for One-class Classification—0
Online Signature Verification using Deep Representation: A new Descriptor—0
Outlier Detection by Consistent Data Selection Method—0
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor—0
Policy Entropy for Out-of-Distribution Classification—0
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation—0
Quality assurance of organs-at-risk delineation in radiotherapy—0
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 Framework—0
Strictly Proper Kernel Scoring Rules and Divergences with an Application to Kernel Two-Sample Hypothesis Testing—0
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