Multi-objective optimization-based adaptive class-specific cost extreme learning machine for imbalanced classification

Li, Y, Zhang, J, Zhang, S et al. (2 more authors) (2022) Multi-objective optimization-based adaptive class-specific cost extreme learning machine for imbalanced classification. Neurocomputing. ISSN 0925-2312

Abstract

Metadata

Authors/Creators:
  • Li, Y
  • Zhang, J
  • Zhang, S
  • Xiao, W
  • Zhang, Z
Copyright, Publisher and Additional Information: © 2022 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Neurocomputing. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Imbalanced classification; cost-sensitive learning; extreme learning machine; multi-objective optimization
Dates:
  • Accepted: 2 May 2022
  • Published (online): 6 May 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 May 2022 14:50
Last Modified: 11 May 2022 14:50
Status: Published online
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.neucom.2022.05.008

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