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Target-to-Anomaly Conversion for Hyperspectral Anomaly Detection

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-28

Chang, Chein-I

2022

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Iterative Spectral-Spatial Hyperspectral Anomaly Detection

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-30

2023

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Exploration of Data Scene Characterization and 3D ROC Evaluation for Hyperspectral Anomaly Detection

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (1), p.135

2024

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Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

Feasel, Kevin

1, 2022

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Orthogonal Subspace Projection-Based Go-Decomposition Approach to Finding Low-Rank and Sparsity Matrices for Hyperspectral Anomaly Detection

IEEE transactions on geoscience and remote sensing, 2021-03, Vol.59 (3), p.2403-2429

2021

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Video anomaly detection and localisation based on the sparsity and reconstruction error of auto-encoder

Electronics letters, 2016-06, Vol.52 (13), p.1122-1124

2016

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Orthogonal Subspace Projection Target Detector for Hyperspectral Anomaly Detection

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.4915-4932

2021

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Component Decomposition Analysis for Hyperspectral Anomaly Detection

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-22

2022

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Using Hill Climb Modular Assembler Encoding and Differential Evolution to evolve modular neuro-controllers of an autonomous underwater vehicle acting as a Magnetic Anomaly Detector

Applied soft computing, 2022-09, Vol.127, p.109347, Article 109347

Praczyk, Tomasz

2022

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A sequential deep learning framework for a robust and resilient network intrusion detection system

Computers & security, 2024-09, Vol.144, p.103928, Article 103928

2024

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A Line-by-Line Fast Anomaly Detector for Hyperspectral Imagery

IEEE transactions on geoscience and remote sensing, 2019-11, Vol.57 (11), p.8968-8982

2019

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Residual-Driven Band Selection for Hyperspectral Anomaly Detection

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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Optimal deception attacks on remote state estimators equipped with interval anomaly detectors

Automatica (Oxford), 2023-02, Vol.148, p.110723, Article 110723

2023

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Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.588-600

2020

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Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning

IEEE transactions on pattern analysis and machine intelligence, 2023-06, Vol.45 (6), p.7781-7798

2023

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A hyperspectral anomaly detection framework based on segmentation and convolutional neural network algorithms

International journal of remote sensing, 2020-09, Vol.41 (18), p.6946-6975

2020

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A 36-nW Electrocardiogram Anomaly Detector Based on a 1.5-bit Non-Feedback Delta Quantizer for Always-on Cardiac Monitoring

IEEE transactions on biomedical circuits and systems, 2024-06, Vol.18 (3), p.648-661

2024

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Detection of Small Floating Targets on the Sea Surface Based on Multi-Features and Principal Component Analysis

IEEE geoscience and remote sensing letters, 2020-05, Vol.17 (5), p.1-5

Gu, Tianchang

2020

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Normal or abnormal? Machine learning for the leakage detection in carbon sequestration projects using pressure field data

International journal of greenhouse gas control, 2020-12, Vol.103 (C), p.103189, Article 103189

2020

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Relaxation‐based anomaly detection in cyber‐physical systems using ensemble kalman filter

IET cyber-physical systems, 2020-03, Vol.5 (1), p.49-58

2020

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Efficient anomaly detection through surrogate neural networks

Neural computing & applications, 2022-12, Vol.34 (23), p.20491-20505

2022

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On Detecting Clustered Anomalies Using SCiForest

Machine Learning and Knowledge Discovery in Databases, p.274-290

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Probing the Limits of Anomaly Detectors for Automobiles with a Cyberattack Framework

IEEE intelligent systems, 2018-03, Vol.33 (2), p.54-62

2018

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Deep learning waveform anomaly detector for numerical relativity catalogs

General relativity and gravitation, 2024-02, Vol.56 (2), Article 24

2024

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Automatic detection of basal cell carcinoma by hyperspectral imaging

Journal of biophotonics, 2022-01, Vol.15 (1), p.e202100231-n/a

2022

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Target-to-Anomaly Conversion for Hyperspectral Anomaly Detection

Iterative Spectral-Spatial Hyperspectral Anomaly Detection

Exploration of Data Scene Characterization and 3D ROC Evaluation for Hyperspectral Anomaly Detection

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

Orthogonal Subspace Projection-Based Go-Decomposition Approach to Finding Low-Rank and Sparsity Matrices for Hyperspectral Anomaly Detection

Video anomaly detection and localisation based on the sparsity and reconstruction error of auto-encoder

Orthogonal Subspace Projection Target Detector for Hyperspectral Anomaly Detection

Component Decomposition Analysis for Hyperspectral Anomaly Detection

Using Hill Climb Modular Assembler Encoding and Differential Evolution to evolve modular neuro-controllers of an autonomous underwater vehicle acting as a Magnetic Anomaly Detector

A sequential deep learning framework for a robust and resilient network intrusion detection system

A Line-by-Line Fast Anomaly Detector for Hyperspectral Imagery

Residual-Driven Band Selection for Hyperspectral Anomaly Detection

Optimal deception attacks on remote state estimators equipped with interval anomaly detectors

Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model

Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning

A hyperspectral anomaly detection framework based on segmentation and convolutional neural network algorithms

A 36-nW Electrocardiogram Anomaly Detector Based on a 1.5-bit Non-Feedback Delta Quantizer for Always-on Cardiac Monitoring

Detection of Small Floating Targets on the Sea Surface Based on Multi-Features and Principal Component Analysis

Normal or abnormal? Machine learning for the leakage detection in carbon sequestration projects using pressure field data

Relaxation‐based anomaly detection in cyber‐physical systems using ensemble kalman filter

Efficient anomaly detection through surrogate neural networks

On Detecting Clustered Anomalies Using SCiForest

Probing the Limits of Anomaly Detectors for Automobiles with a Cyberattack Framework

Deep learning waveform anomaly detector for numerical relativity catalogs

Automatic detection of basal cell carcinoma by hyperspectral imaging

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