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自动化研究所 [4]
计算技术研究所 [2]
沈阳自动化研究所 [2]
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期刊论文 [10]
会议论文 [1]
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2021 [11]
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Semi-supervised anomaly detection in dynamic communication networks
期刊论文
INFORMATION SCIENCES, 2021, 卷号: 571, 页码: 527-542
作者:
Meng, Xuying
;
Wang, Suhang
;
Liang, Zhimin
;
Yao, Di
;
Zhou, Jihua
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  |  
浏览/下载:51/0
  |  
提交时间:2021/12/01
Anomaly detection
Semi-supervised learning
Generative adversarial networks
Self-learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Liu, Yixin
;
Li, Zhao
;
Pan, Shirui
;
Gong, Chen
;
Zhou, Chuan
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  |  
浏览/下载:4/0
  |  
提交时间:2022/04/02
Anomaly detection
Task analysis
Graph neural networks
Unsupervised learning
Predictive models
Pattern matching
Training
Anomaly detection
attributed networks
contrastive self-supervised learning
graph neural networks (GNNs)
unsupervised learning
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection
期刊论文
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2021, 卷号: 115, 页码: 236-250
作者:
Feng, Wenjie
;
Liu, Shenghua
;
Faloutsos, Christos
;
Hooi, Bryan
;
Shen, Huawei
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  |  
浏览/下载:13/0
  |  
提交时间:2021/12/01
Pattern recognition
Large graph mining
Micro-clusters
Anomaly detection
Histogram
A Cognitive Memory-Augmented Network for Visual Anomaly Detection
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1296-1307
作者:
Tian Wang
;
Xing Xu
;
Fumin Shen
;
Yang Yang
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  |  
浏览/下载:12/0
  |  
提交时间:2021/06/11
Cognitive computing
density estimation
memory
visual analysis systems
visual anomaly detection
A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 64-76
作者:
Cosimo Ieracitano
;
Annunziata Paviglianiti
;
Maurizio Campolo
;
Amir Hussain
;
Eros Pasero
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  |  
浏览/下载:71/0
  |  
提交时间:2021/04/09
Anomaly detection
autoencoder (AE)
electrospinning
machine learning
material informatics
nanomaterials
Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 55-72
作者:
Abhijit Guha
;
Debabrata Samanta
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  |  
浏览/下载:33/0
  |  
提交时间:2021/02/23
Anomaly detection
title insurance
autoencoder
one-class support vector machine (OSVM)
term frequency – inverse document frequency (TF-IDF)
robotic process automation
dimensionality reduction
Background Purification Framework With Extended Morphological Attribute Profile for Hyperspectral Anomaly Detection
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 8113-8124
作者:
Huang, Ju
;
Liu, Kang
;
Xu, Mingliang
;
Perc, Matjaz
;
Li, Xuelong
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  |  
浏览/下载:95/0
  |  
提交时间:2021/09/09
Anomaly detection
background purification
extended attribute profile (EAP)
hyperspectral image (HSI)
sparse representation (SR)
stacked autoencoder (SAE)
A Novel Pixel-Wise Defect Inspection Method Based on Stable Background Reconstruction
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:
Lv, Chengkan
;
Shen, Fei
;
Zhang, Zhengtao
;
Xu, De
;
He, Yonghao
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  |  
浏览/下载:28/0
  |  
提交时间:2021/11/03
Anomaly detection
autoencoder
background reconstruction
defect inspection
Background purification framework with extended morphological attribute profile for hyperspectral anomaly detection
期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 卷号: 14, 页码: 8113-8124
作者:
Huang, Ju
;
Liu, Kang
;
Xu, Mingliang
;
Perc, Matja
;
Li, Xuelong
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/02/07
Anomaly detection
background purification
extended attribute profile (EAP)
hyperspectral image (HSI)
sparse representation (SR)
stacked autoencoder (SAE)
Deep Learning Anomaly Detection Based on Hierarchical Status-Connection Features in Networked Control Systems
期刊论文
INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2021, 卷号: 30, 期号: 1, 页码: 337-350
作者:
Zhao JM(赵剑明)
;
Zeng P(曾鹏)
;
Chen CY(陈春雨)
;
Dong, Zhiwei
;
Han, Jongho
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  |  
浏览/下载:12/0
  |  
提交时间:2021/08/12
Deep learning anomaly detection
networked control system
CNN
LSTM
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