CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer Abdar, Moloud and Makarenkov, Vladimir 2019, CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer, Measurement: Journal of the International Measurement Confederation, vol. 146, pp. 557-570, doi: 10.1016/j.measurement.2019.05.022. Attached Files Name Description MIMEType Size Downloads Title CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer Author(s) Abdar, Moloud orcid.org/0000-0002-3059-6357 Makarenkov, Vladimir Journal name Measurement: Journal of the International Measurement Confederation Volume number 146 Start page 557 End page 570 Total pages 14 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2019-11 ISSN 0263-2241 1873-412X Keyword(s) Science & Technology Technology Engineering, Multidisciplinary Instruments & Instrumentation Engineering Data mining Machine learning Ensemble technique Breast cancer Support vector machine Artificial neural network SUPPORT VECTOR MACHINES FEATURE-SELECTION RULES ALGORITHMS PREDICTION SYSTEM MODEL Language eng DOI 10.1016/j.measurement.2019.05.022 Indigenous content off Field of Research 0102 Applied Mathematics 0801 Artificial Intelligence and Image Processing 0913 Mechanical Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30134229 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment Institute for Intelligent Systems Research and Innovation (IISRI) 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, 30 Jan 2020, 14:34:12 EST Fri, 31 Jan 2020, 04:00:34 EST Fri, 31 Jan 2020, 07:09:40 EST Sat, 03 Oct 2020, 06:02:18 EST Mon, 05 Oct 2020, 13:13:13 EST Mon, 05 Oct 2020, 13:14:53 EST Filtered Full Citation counts:   Cited 19 times in TR Web of Science Cited 21 times in Scopus Search Google Scholar Access Statistics: 23 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 30 Jan 2020, 14:34:11 EST

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