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Novelty Detection

Scientific Novelty Detection

Papers

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Showing 101–150 of 249 papers

TitleStatusHype
Novelty Detection for Election Fraud: A Case Study with Agent-Based Simulation Data—0
Novelty Detection in MultiClass Scenarios with Incomplete Set of Class Labels—0
Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification—0
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach—0
Novelty Detection Meets Collider Physics—0
Novelty Detection Through Model-Based Characterization of Neural Networks—0
Novelty Detection Under Multi-Instance Multi-Label Framework—0
Novelty Detection Via Blurring—0
Novelty Detection via Contrastive Learning with Negative Data Augmentation—0
Novelty Detection via Network Saliency in Visual-based Deep Learning—0
Novelty Detection via Non-Adversarial Generative Network—0
Novelty Detection with GAN—0
Novelty Detection with Rotated Contrastive Predictive Coding—0
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space—0
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations—0
On Design Choices in Similarity-Preserving Sparse Randomized Embeddings—0
One-Class Classification: Taxonomy of Study and Review of Techniques—0
OpenPatch: a 3D patchwork for Out-Of-Distribution detection—0
Open Set Action Recognition via Multi-Label Evidential Learning—0
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning—0
Out-of-Distribution Detection using BiGAN and MDL—0
Out-of-Distribution Detection Without Class Labels—0
Parameterizing Kterm Hashing—0
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection—0
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor—0
Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification—0
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models—0
Psychophysical vs. learnt texture representations in novelty detection—0
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles—0
Recurrent Neural Radio Anomaly Detection—0
Reducing Overconfident Errors outside the Known Distribution—0
Remembering Transformer for Continual Learning—0
Representational learning for an anomalous sound detection system with source separation model—0
Robot in the mirror: toward an embodied computational model of mirror self-recognition—0
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
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