DELR: A double-level ensemble learning method for unsupervised anomaly detection

Knowledge-Based Systems ◽

10.1016/j.knosys.2019.05.026 ◽

2019 ◽

Vol 181 ◽

pp. 104783 ◽

Author(s):

Jia Zhang ◽

Zhiyong Li ◽

Ke Nai ◽

Yu Gu ◽

Ahmed Sallam

Keyword(s):

Anomaly Detection ◽

Ensemble Learning ◽

Learning Method ◽

Unsupervised Anomaly Detection

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An Ensemble Learning Method with Feature Fusion for Industrial Control System Anomaly Detection

10.1109/ccdc52312.2021.9602724 ◽

2021 ◽

Author(s):

Jianyou Xu ◽

Wei Shi ◽

Shuo Zhang

Keyword(s):

Control System ◽

Anomaly Detection ◽

Ensemble Learning ◽

Feature Fusion ◽

Learning Method ◽

Industrial Control System ◽

Industrial Control

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Large-Scale Data Learning Method for Anomaly Detection using Machine Learning for Monitoring Vibration in Vehicle Equipment

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.140.480 ◽

2020 ◽

Vol 140 (6) ◽

pp. 480-487

Author(s):

Minoru Kondo

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Large Scale ◽

Learning Method ◽

Large Scale Data ◽

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Protein Remote Homology Detection by Combining Pseudo Dimer Composition with an Ensemble Learning Method

Current Proteomics ◽

10.2174/157016461302160514002939 ◽

2016 ◽

Vol 13 (2) ◽

pp. 86-91 ◽

Author(s):

Bin Liu ◽

Junjie Chen ◽

Shanyi Wang

Keyword(s):

Ensemble Learning ◽

Learning Method ◽

Homology Detection ◽

Remote Homology ◽

Remote Homology Detection

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Fast Unsupervised Anomaly Detection in Traffic Videos

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ◽

10.1109/cvprw50498.2020.00320 ◽

2020 ◽

Author(s):

Keval Doshi ◽

Yasin Yilmaz

Keyword(s):

Anomaly Detection ◽

Unsupervised Anomaly Detection

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Evaluation of unsupervised anomaly detection approaches on photovoltaic monitoring data

2020 47th IEEE Photovoltaic Specialists Conference (PVSC) ◽

10.1109/pvsc45281.2020.9300481 ◽

2020 ◽

Author(s):

Sebastian Hempelmann ◽

Li Feng ◽

Cem Basoglu ◽

Grit Behrens ◽

Matthias Diehl ◽

...

Keyword(s):

Anomaly Detection ◽

Monitoring Data ◽

Unsupervised Anomaly Detection

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Automatic Object Classification with Active Sonar using Unsupervised Anomaly Detection

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287737 ◽

2021 ◽

Author(s):

Pietro Stinco ◽

Giovanni De Magistris ◽

Alessandra Tesei ◽

Kevin D. LePage

Keyword(s):

Anomaly Detection ◽

Object Classification ◽

Active Sonar ◽

Unsupervised Anomaly Detection

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A Deep Learning based Ensemble Learning Method for Epileptic Seizure Prediction

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2021.104710 ◽

2021 ◽

pp. 104710

Author(s):

Syed Muhammad Usman ◽

Shehzad Khalid ◽

Sadaf Bashir

Keyword(s):

Deep Learning ◽

Ensemble Learning ◽

Epileptic Seizure ◽

Learning Method ◽

Seizure Prediction ◽

Epileptic Seizure Prediction

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Selection Biased Positive and Unlabeled Learning Method for Anomaly Detection in Surveillance Videos

2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD) ◽

10.1109/cscwd49262.2021.9437826 ◽

2021 ◽

Author(s):

Feiyu Shang ◽

Huiyu Mu ◽

Shanshan Qi ◽

Ruizhi Sun

Keyword(s):

Anomaly Detection ◽

Learning Method ◽

Surveillance Videos ◽

Positive And Unlabeled Learning

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Unsupervised Anomaly detection of LM Guide Using Variational Autoencoder

2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE) ◽

10.1109/atee.2019.8724998 ◽

2019 ◽

Author(s):

Min Su Kim ◽

Jong Pil Yun ◽

Suwoong Lee ◽

PooGyeon Park

Keyword(s):

Anomaly Detection ◽

Variational Autoencoder ◽

Unsupervised Anomaly Detection

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Unsupervised anomaly detection in railway catenary condition monitoring using autoencoders

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon43393.2020.9254633 ◽

2020 ◽

Author(s):

Hongrui Wang

Keyword(s):

Anomaly Detection ◽

Condition Monitoring ◽

Unsupervised Anomaly Detection

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