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Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification

  • Jinyan Li1,
  • Simon Fong1,
  • Yunsick Sung2,
  • Kyungeun Cho3,
  • Raymond Wong4 and
  • Kelvin K. L. Wong5, 6Email author
Contributed equally
BioData Mining20169:37

Received: 13 May 2016

Accepted: 21 November 2016

Published: 1 December 2016

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Open Peer Review reports

Pre-publication versions of this article are available by contacting

Original Submission
13 May 2016 Submitted Original manuscript
Author responded Author comments
Reviewed Reviewer Report
Resubmission - Version 2
Submitted Manuscript version 2
Author responded Author comments
Reviewed Reviewer Report
Resubmission - Version 3
Submitted Manuscript version 3
Author responded Author comments
Resubmission - Version 4
Submitted Manuscript version 4
21 Nov 2016 Editorially accepted
1 Dec 2016 Article published 10.1186/s13040-016-0117-1

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Authors’ Affiliations

Department of Computer and Information Science, University of Macau, Macau, China
Computer Engineering Division, Keimyung University, Daegu, South Korea
Department of Multimedia Engineering, College of Engineering, Dongguk University, Dongdaeipgu, South Korea
School of Computer Science and Engineering, University of New South Wales, Sydney, Australia
Centre for Biomedical Engineering, School of Electrical & Electronic Engineering, University of Adelaide, Adelaide, Australia
School of Medicine, Western Sydney University, Campbelltown, Australia