CIDetector: Semi-supervised method for multi-topic confidential information detection

Jiang, Jianguo, Lu, Yue, Yu, Min, Li, Gang, Jia, Yantao, Guo, Jiafeng, Liu, Chao and Huang, Weiqing 2020, CIDetector: Semi-supervised method for multi-topic confidential information detection, in ECAI 2020 : Proceedings of the 24th European Conference on Artificial Intelligence, IOS Press, Amsterdam, The Netherlands, pp. 1834-1841, doi: 10.3233/FAIA200299.

Attached Files
Name Description MIMEType Size Downloads

Title CIDetector: Semi-supervised method for multi-topic confidential information detection
Author(s) Jiang, Jianguo
Lu, Yue
Yu, Min
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Jia, Yantao
Guo, Jiafeng
Liu, Chao
Huang, Weiqing
Conference name European Association for Artificial Intelligence. Conference (24th : 2020 : Online from Santiago de Compostela, Spain)
Conference location Online from Santiago de Compostela, Spain
Conference dates 2020/08/29 - 2020/09/08
Title of proceedings ECAI 2020 : Proceedings of the 24th European Conference on Artificial Intelligence
Editor(s) De Giacomo, Giuseppe
Catala, Alejandro
Dilkina, Bistra
Milano, Michela
Barro, Senén
Bugarín, Alberto
Lang, Jérôme
Publication date 2020
Series European Association for Artificial Intelligence Conference
Start page 1834
End page 1841
Total pages 8
Publisher IOS Press
Place of publication Amsterdam, The Netherlands
Notes This conference was originally scheduled to be held in Santiago de Compostela, Spain, however due to the 2020 COVID Pandemic, the event was held online.
ISBN 9781643681009
ISSN 0922-6389
Language eng
DOI 10.3233/FAIA200299
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30144045

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 13 Abstract Views, 4 File Downloads  -  Detailed Statistics
Created: Thu, 15 Oct 2020, 08:47:31 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.