A review of novelty detection

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Novel Class Discovery Without Forgetting

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Measurement investigations in tubular structures health monitoring via ultrasonic guided waves: A case of study

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A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic Routing

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Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors

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Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter

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The familiarity hypothesis: Explaining the behavior of deep open set methods

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Integrated Inspection on PCB Manufacturing in Cyber–Physical–Social Systems

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Meta-survey on outlier and anomaly detection

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Imbalanced dataset-based echo state networks for anomaly detection

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Inverse-Transform AutoEncoder for Anomaly Detection

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Isolation Mondrian Forest for Batch and Online Anomaly Detection

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Extreme value theory for anomaly detection – the GPD classifier

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Improving the accuracy, adaptability, and interpretability of SSD failure prediction models

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Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series

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Advancements and Research Trends in Microgrids Cybersecurity

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Intrusion detection for high-speed railways based on unsupervised anomaly detection models

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Safe operation of online learning data driven model predictive control of building energy systems

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Development and Realization of Changepoint Analysis for the Detection of Emerging Faults on Industrial Systems

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Identifying and Categorizing Anomalies in Retinal Imaging DataPreprint

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Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer OutputPreprint

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A semisupervised autoencoder-based method for anomaly detection in cutting tools

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Data-driven drift detection and diagnosis framework for predictive maintenance of heterogeneous production processes: Application to a multiple tapping process

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Concept drift robust adaptive novelty detection for data streams

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Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data

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A multiple-architecture deep learning approach for nuclear power plants accidents classification including anomaly detection and “don’t know” response

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Anomaly detection of sensor faults and extreme events based on support vector data description

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Anomaly Analysis of Alzheimer’s Disease in PET Images Using an Unsupervised Adversarial Deep Learning Model

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TIB: Detecting Unknown Objects via Two-Stream Information Bottleneck

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Real‐time anomaly detection with Bayesian dynamic linear models

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Deep Learning Models to Study the Early Stages of Parkinson's Disease

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Unsupervised Machine Learning for Robust Bridge Damage Detection: Full-Scale Experimental Validation

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A multi-agent simulator for generating novelty in monopoly

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On Obstructing Obscenity Obfuscation

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CAM-UNET: Class Activation MAP Guided UNET with Feedback Refinement for Defect Segmentation

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Understanding the Trends in Blockchain Domain Through an Unsupervised Systematic Patent Analysis

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Analysis of outlier detection rules based on the ASHRAE global thermal comfort database

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Robust Machine Learning Framework for Modeling the Compressive Strength of SFRC: Database Compilation, Predictive Analysis, and Empirical Verification

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Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks

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Is Your Kettle Smarter Than a Hacker? A Scalable Tool for Assessing Replay Attack Vulnerabilities on Consumer IoT Devices

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Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances

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Semi-supervised subclass support vector data description for image and video classification

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Generative adversarial network based novelty detection usingminimized reconstruction error

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Fault prediction of power electronics modules and systems under complex working conditions

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A residual strain energy based damage localisation method for offshore platforms under environmental variations

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The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning

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Novelty Detection and Online Learning for Chunk Data Streams

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Detecting anomalies in business process event logs using statistical leverage

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1H NMR spectroscopy, one-class classification and outlier diagnosis: A powerful combination for adulteration detection in paprika powder

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Machine Learning for Fraud Detection in E-Commerce: A Research Agenda

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Re-identification of fish individuals of undulate skate via deep learning within a few-shot context

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ARDEA—An MAV with skills for future planetary missions

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Are generative deep models for novelty detection truly better?Preprint

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Machine Learning for Understanding Inland Water Quantity, Quality, and Ecology

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Anomaly Detection for Telemetry Time Series Using a Denoising Diffusion Probabilistic Model

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Digital twin-enabled robust production scheduling for equipment in degraded state

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Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty

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Into the Unknown: Active Monitoring of Neural Networks

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Detecting Anomaly and Its Sources in Activities of Daily Living

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Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data

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A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms

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Anomalous Instance Detection in Deep Learning: A Survey.Preprint

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Pixel-Wise Defect Detection by CNNs without Manually Labeled Training Data

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Unsupervised representation learning and anomaly detection in ECG sequences

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A spatial filtering inspired three-way clustering approach with application to outlier detection

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How to introduce expert feedback in one-class support vector machines for anomaly detection?

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Towards a Unifying Framework for Formal Theories of Novelty

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Stochastic Earned Duration Analysis for Project Schedule Management

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Gapless Power-Quality Disturbance Recorder

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Application of pattern recognition in detection of buried archaeological sites based on analysing environmental variables, Khorramabad Plain, West Iran

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Novelty detection in passive SONAR systems using support vector machines

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Sec2graph: Network Attack Detection Based on Novelty Detection on Graph Structured Data

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Chemoinformatic regression methods and their applicability domain

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Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification

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Deep unsupervised multi-view detection of video game stream highlights

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Detection of Hazardous Road Events From Audio Streams: An Ensemble Outlier Detection Approach

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Novelty Detection Through Model-Based Characterization of Neural Networks

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Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis

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Robust Sonar ATR Through Bayesian Pose-Corrected Sparse Classification

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A scenario optimization approach to reliability-based design

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Adversarially Learned Anomaly DetectionPreprint

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