A review of novelty detection

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Data-Driven Method for Detecting Flight Trajectory Deviation Anomaly

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Novelty Detection of a Rolling Bearing using Long Short-Term Memory Autoencoder

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One-Class Adversarial Fraud Detection Nets with Class Specific Representations

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Anomaly Detection in Gas Turbines Using Outlet Energy Analysis with Cluster-Based Matrix Profile

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Application of Machine Learning to Engine Air System Failure Prediction

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Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis

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BiCAE – A Bimodal Convolutional Autoencoder for Seed Purity Testing

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Anomaly Detection Using Complete Cycle Consistent Generative Adversarial Network

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A real-time implementation of an acoustic novelty detector on the BeagleBoard-xM

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Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities

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The concept of novelty detection applied to Power Quality

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Infinite Langevin Mixture Modeling and Feature Selection

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A group-based signal filtering approach for trajectory abstraction and restoration

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A one-class Clustering technique for Novelty Detection and Isolation in sensor networks

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Outlier Detection via Deep Learning Architecture

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Comparison of Outlier Detection Methods on Astronomical Image Data

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An Improved K Nearest Neighbor Classifier for High-Dimensional and Mixture Data

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Human-in-the-loop handling of knowledge drift

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Examining Response to Negative Life Events Through Fitness Tracker Data

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A Hierarchical Ensemble of LSTM-based Autoencoders for Novelty Detection in Passive Sonar Systems

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Characterizing Prosthesis Control Fault During Human-Prosthesis Interactive Walking Using Intrinsic Sensors

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Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition

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Finding Outliers in Gaussian Model-based Clustering

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Point process models for novelty detection on spatial point patterns and their extremes

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Exploring Online Novelty Detection Using First Story Detection Models

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On Real-Time Monitoring on Data Stream for Traffic Flow Anomalies

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Spatial Temporal Balanced Generative Adversarial AutoEncoder for Anomaly Detection

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Novelty Discovery with Kernel Minimum Enclosing Balls

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Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates

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Ligand Based Virtual Screening Using Self-organizing Maps

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A Comprehensive Survey of Federated Open-World Learning

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Recognizing unknowns: a survey on visual open-set recognition

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Sensitivity Analysis of Neural Network Ensembles to Data Quality Issues

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Enhancing Cybersecurity Monitoring in Battery Energy Storage Systems with Graph Neural Networks

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Towards self-adaptive learning: A comprehensive survey on continual learning under harsh conditions

Razavi‐Far, R., Hallaji, E., Fathalizadeh, A., Wu, M., & Rostami, M. G. (2026) · Neurocomputing · doi:10.1016/j.neucom.2026.134136 · Cited by 4

Anomaly Detection Based on Frequent Pattern Mining in Smart Home Devices

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Wykrywanie anomalii bazujące na wskazanych przykładach

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Which principal components are most sensitive in the change detection problem?

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Autonome Entdeckung in den chemischen Wissenschaften, Teil II: Ausblick

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Study on identifying GMAW process deviations by means of optical and electrical process data using ANN

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Variational Autoencoder based Novelty Detection for Real-World Time Series

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One-Class Classification by Ensembles of Random Planes (OCCERPs)

Ahmad, A. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/4264393 · Cited by 4

The Effect of Network Environment on Traffic Classification

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Using EBGAN for Anomaly Intrusion Detection

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Calibrated reconstruction based adversarial autoencoder model for novelty detection

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Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data

Janetzky, P., Schaller, M. C., Krause, A., & Andreas Hotho, A. (2023) · International Conference on Systems, Signals and Image Processing · doi:10.1109/iwssip58668.2023.10180253 · Cited by 4

MS-DRT: A Multilevel and Multiscale Branch Learning Scheme for Fault Diagnosis of Rotating Machinery

Xu, X., Wang, R., Fan, Z., Ma, X., Zhao, Z., & Wang, H. (2023) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3295426 · Cited by 4

Unknown cell class distinction via neural network based scattering snapshot recognition

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Fast Detection of Fabric Defects based on Neural Networks

Chen, C.-C., Wei, C. H., & Lin, C.-S. (2023) · International Symposium on Computer, Consumer and Control · doi:10.1109/is3c57901.2023.00093 · Cited by 4

Out-of-distribution Object Detection through Bayesian Uncertainty Estimation

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On the link between generative semi-supervised learning and generative open-set recognition

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Understanding the Behavior of Ransomware: An I/O Request Packet (IRP) Driven Study on Ransomware Detection against Execution Time

Ayub, M. A., & Siraj, A. (2023) · IEEE International Conference on Collaboration and Internet Computing (CIC) · doi:10.1109/cic58953.2023.00018 · Cited by 4

Usage-aware representation learning for critical information identification in transportation networks

Sun, R., & Fan, Y. (2024) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2024.104538 · Cited by 5

A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance

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A proposal for fall-risk detection of hospitalized patients from wireless channel state information using Internet of Things devices

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Out-of-Distribution Node Detection Based on Graph Heat Kernel Diffusion

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Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care

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Scalable and accurate online multivariate anomaly detection

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APBIO: bioactive profiling of air pollutants through inferred bioactivity signatures and prediction of novel target interactions

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Statistical monitoring for continual quality control of railway ballast

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An online changepoint detection algorithm for highly correlated data

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One-Class Classifiers Based on Entropic Spanning Graphs

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