Exploring novel features and decision rules to identify cardiovascular autonomic neuropathy using a hybrid of wrapper-filter based feature selection Huda, MD Shamsul, Jelinek, H, Ray, B, Stranieri, A and Yearwood, John Leighton 2010, Exploring novel features and decision rules to identify cardiovascular autonomic neuropathy using a hybrid of wrapper-filter based feature selection, in Proceedings of the 2010 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2010, IEEE, Piscataway, N.J., pp. 297-302, doi: 10.1109/ISSNIP.2010.5706769. Attached Files Name Description MIMEType Size Downloads Title Exploring novel features and decision rules to identify cardiovascular autonomic neuropathy using a hybrid of wrapper-filter based feature selection Author(s) Huda, MD Shamsul orcid.org/0000-0001-7848-0508 Jelinek, H Ray, B Stranieri, A Yearwood, John Leighton orcid.org/0000-0002-7562-6767 Conference location Brisbane, Qld. Conference dates 2010/12/07 - 2010/12/10 Title of proceedings Proceedings of the 2010 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2010 Publication date 2010 Start page 297 End page 302 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. ISBN 9781424471768 DOI 10.1109/ISSNIP.2010.5706769 HERDC Research category EN.1 Other conference paper Persistent URL http://hdl.handle.net/10536/DRO/DU:30101449 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) 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, 03 Aug 2017, 12:08:21 EST Fri, 04 Aug 2017, 05:06:26 EST Sat, 23 Sep 2017, 06:19:24 EST Wed, 23 May 2018, 12:50:14 EST Wed, 23 May 2018, 12:51:54 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 13 times in Scopus Search Google Scholar Access Statistics: 54 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 03 Aug 2017, 12:08:21 EST

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