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Novelty Detection

Scientific Novelty Detection

Papers

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Showing 101–125 of 249 papers

TitleStatusHype
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy—0
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption—0
RSC-VAE: Recoding Semantic Consistency Based VAE for One-Class Novelty Detection—0
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control—0
Score Combining for Contrastive OOD Detection—0
Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection—0
Multi-class Novelty Detection Using Mix-up Technique—0
Spotting Rumors via Novelty Detection—0
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies—0
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm—0
SuperAD: A Training-free Anomaly Classification and Segmentation Method for CVPR 2025 VAND 3.0 Workshop Challenge Track 1: Adapt & Detect—0
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring—0
Text Classification with Novelty Detection—0
The Cyborg Astrobiologist: Matching of Prior Textures by Image Compression for Geological Mapping and Novelty Detection—0
The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds—0
The empirical Christoffel function with applications in data analysis—0
Time-dependent Hierarchical Dirichlet Model for Timeline Generation—0
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets—0
TransductGAN: a Transductive Adversarial Model for Novelty Detection—0
Uncertainty Quantification in Continual Open-World Learning—0
Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernels—0
Unsupervised Anomaly Detection via Nonlinear Manifold Learning—0
Unsupervised Class-Incremental Learning Through Confusion—0
Unsupervised Patch-GAN with Targeted Patch Ranking for Fine-Grained Novelty Detection in Medical Imaging—0
Utilizing Patch-level Category Activation Patterns for Multiple Class Novelty Detection—0
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