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, 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 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 15 Oct 2020, 07:21:45 EST Thu, 15 Oct 2020, 08:46:08 EST Thu, 15 Oct 2020, 08:47:31 EST Thu, 15 Oct 2020, 11:06:25 EST Thu, 15 Oct 2020, 11:14:15 EST Tue, 20 Oct 2020, 07:55:23 EST Tue, 20 Oct 2020, 07:58:22 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 34 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Thu, 15 Oct 2020, 08:47:31 EST

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