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Novelty Detection

Scientific Novelty Detection

Papers

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Showing 151–200 of 249 papers

TitleStatusHype
In-flight Novelty Detection with Convolutional Neural Networks—0
Information bottleneck through variational glasses—0
Information Processing by Neuron Populations in the Central Nervous System: Mathematical Structure of Data and Operations—0
Informed Democracy: Voting-based Novelty Detection for Action Recognition—0
Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis—0
Interpretable Discovery in Large Image Data Sets—0
Open-set learning with augmented categories by exploiting unlabelled data—0
Isolation Forest in Novelty Detection Scenario—0
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning—0
Kernel Null Space Methods for Novelty Detection—0
KNN-Contrastive Learning for Out-of-Domain Intent Classification—0
Language Models for Novelty Detection in System Call Traces—0
Latent Space Exploration Using Generative Kernel PCA—0
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection—0
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids—0
On the link between generative semi-supervised learning and generative open-set recognition—0
Managing the unknown: a survey on Open Set Recognition and tangential areas—0
Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier Factor Algorithm—0
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments—0
Model-based Classification and Novelty Detection For Point Pattern Data—0
Model-Based Multiple Instance Learning—0
Monitoring Time Series With Missing Values: a Deep Probabilistic Approach—0
Multiple Class Novelty Detection Under Data Distribution Shift—0
Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric—0
Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection—0
Neural Neighborhood Encoding for Classification—0
New Perspective on Progressive GANs Distillation for One-class Novelty Detection—0
NN-EVCLUS: Neural Network-based Evidential Clustering—0
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection—0
Normalizing flows for novelty detection in industrial time series data—0
Normative Modeling of Neuroimaging Data using Scalable Multi-Task Gaussian Processes—0
NovAScore: A New Automated Metric for Evaluating Document Level Novelty—0
Novelty Detection and Learning from Extremely Weak Supervision—0
Novelty Detection: A Perspective from Natural Language Processing—0
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
Self-supervised network distillation: an effective approach to exploration in sparse reward environmentsCode0
EX2: Exploration with Exemplar Models for Deep Reinforcement LearningCode0
Unsupervised Novelty Detection Methods Benchmarking with Wavelet DecompositionCode0
Multivariate Triangular Quantile Maps for Novelty DetectionCode0
Derandomized Novelty Detection with FDR Control via Conformal E-valuesCode0
Enhancing Multiple Reliability Measures via Nuisance-extended Information BottleneckCode0
TAP-DLND 1.0 : A Corpus for Document Level Novelty DetectionCode0
Generative Probabilistic Novelty Detection with Adversarial AutoencodersCode0
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging DataCode0
AquaSignal: An Integrated Framework for Robust Underwater Acoustic AnalysisCode0
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