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Novelty Detection

Scientific Novelty Detection

Papers

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Showing 126–150 of 249 papers

TitleStatusHype
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty DetectionCode0
Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis—0
CreativeGAN: Editing Generative Adversarial Networks for Creative Design SynthesisCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
Novelty Detection in Sequential Data by Informed Clustering and ModelingCode0
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring—0
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space—0
Novelty Detection with Rotated Contrastive Predictive Coding—0
Constraints on Hebbian and STDP learned weights of a spiking neuron—0
Semi-supervised novelty detection using ensembles with regularized disagreementCode0
A Review of Open-World Learning and Steps Toward Open-World Learning Without LabelsCode0
Variational Beam Search for Novelty Detection—0
Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text ClassifierCode0
Adaptive Matching of Kernel Means—0
Robot in the mirror: toward an embodied computational model of mirror self-recognition—0
Latent World Models For Intrinsically Motivated ExplorationCode1
Efficient SVDD Sampling with Approximation Guarantees for the Decision BoundaryCode0
A Nonparametric Unsupervised Learning Approach for Structural Damage Detection—0
NN-EVCLUS: Neural Network-based Evidential Clustering—0
Text Classification with Novelty Detection—0
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning—0
Puzzle-AE: Novelty Detection in Images through Solving PuzzlesCode0
Image quality assessment for closed-loop computer-assisted lung ultrasound—0
Neural Neighborhood Encoding for Classification—0
Novelty Detection Through Model-Based Characterization of Neural Networks—0
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