Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21292
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dc.contributor.authorShamsolmoali, P-
dc.contributor.authorZareapoor, M-
dc.contributor.authorShen, L-
dc.contributor.authorSadka, AH-
dc.contributor.authorYang, J-
dc.date.accessioned2020-07-28T15:00:12Z-
dc.date.available2020-07-28T15:00:12Z-
dc.date.issued2020-07-28-
dc.identifier.citationShamsolmoali, P. et al. (2021) 'Imbalanced data learning by minority class augmentation using capsule adversarial networks', Neurocomputing, 459, pp. 481 - 493. doi: 10.1016/j.neucom.2020.01.119,en_US
dc.identifier.issn0925-2312-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/21292-
dc.description.sponsorshipNSFC (No: 61876107, U1803261) and Committee of Science and Technology, Shanghai (No. 19510711200).-
dc.format.extent481 - 493-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2020 Elsevier B.V. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.neucom.2020.01.119, made available on this repository under a Creative Commons CC BY-NC-ND attribution licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.titleImbalanced data learning by minority class augmentation using capsule adversarial networksen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.neucom.2020.01.119-
dc.relation.isPartOfNeurocomputing-
pubs.publication-statusPublished-
pubs.volume459-
dc.identifier.eissn1872-8286-
dc.rights.holderElsevier B.V.-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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