A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging Khatami, Amin, Nazari, Asef, Khosravi, Abbas, Lim, Chee Peng and Nahavandi, Saeid 2020, A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging, Expert systems with applications, vol. 149, pp. 1-8, doi: 10.1016/j.eswa.2020.113196. Attached Files Name Description MIMEType Size Downloads Title A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging Author(s) Khatami, Amin Nazari, Asef orcid.org/0000-0003-4955-9684 Khosravi, Abbas orcid.org/0000-0001-6927-0744 Lim, Chee Peng orcid.org/0000-0003-4191-9083 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name Expert systems with applications Volume number 149 Article ID 113196 Start page 1 End page 8 Total pages 8 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2020 ISSN 0957-4174 Keyword(s) Convolutional Neural Network Regularisation Generalisation Weight perturbation Language eng DOI 10.1016/j.eswa.2020.113196 Indigenous content off Field of Research 01 Mathematical Sciences 08 Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Free to Read? No Free to Read Start Date 2022-07-02 Persistent URL http://hdl.handle.net/10536/DRO/DU:30135168 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version (restricted access) 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, 20 Feb 2020, 10:29:00 EST Thu, 20 Feb 2020, 10:47:31 EST Fri, 21 Feb 2020, 04:00:46 EST Fri, 21 Feb 2020, 05:04:37 EST Tue, 03 Mar 2020, 11:54:37 EST Tue, 03 Mar 2020, 11:58:26 EST Tue, 03 Mar 2020, 11:59:01 EST Thu, 05 Mar 2020, 10:47:30 EST Sat, 07 Mar 2020, 01:31:52 EST Sat, 02 May 2020, 02:31:21 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 11 times in Scopus Search Google Scholar Access Statistics: 157 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Thu, 20 Feb 2020, 10:47:31 EST

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