中文版 | English
Title

In Pursuit of the Best Detection of Positive Data Under User’s Concern on False Alarm

Author
DOI
Publication Years
2022
ISBN
978-1-6654-7046-9
Source Title
Pages
337-345
Conference Date
15-17 July 2022
Conference Place
Wuhan, China
Keywords
SUSTech Authorship
First
URL[Source Record]
Indexed By
EI Accession Number
20223412604129
EI Keywords
Alarm systems ; Classification (of information) ; Constrained optimization ; Defects ; Errors ; Evolutionary algorithms ; Forecasting ; Just in time production ; Learning algorithms ; Machine learning
ESI Classification Code
Information Theory and Signal Processing:716.1 ; Computer Programming:723.1 ; Artificial Intelligence:723.4 ; Machine Learning:723.4.2 ; Information Sources and Analysis:903.1 ; Materials Science:951 ; Systems Science:961
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9837710
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/401493
DepartmentResearch Institute of Trustworthy Autonomous Systems
工学院_计算机科学与工程系
Affiliation
1.Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, China
2.Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology, China, Shenzhen, China
First Author AffilicationResearch Institute of Trustworthy Autonomous Systems
First Author's First AffilicationResearch Institute of Trustworthy Autonomous Systems
Recommended Citation
GB/T 7714
Cong Teng,Liyan Song. In Pursuit of the Best Detection of Positive Data Under User’s Concern on False Alarm[C],2022:337-345.
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