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dc.contributor.authorAkusok, Anton
dc.contributor.authorSaarela, Mirka
dc.contributor.authorKärkkäinen, Tommi
dc.contributor.authorBjörk, Kaj-Mikael
dc.contributor.authorLendasse, Amaury
dc.contributor.editorCao, Jiuwen
dc.contributor.editorVong, Chi Man
dc.contributor.editorMiche, Yoan
dc.contributor.editorLendasse, Amaury
dc.date.accessioned2018-10-30T11:35:18Z
dc.date.available2019-10-20T21:35:37Z
dc.date.issued2019
dc.identifier.citationAkusok, A., Saarela, M., Kärkkäinen, T., Björk, K.-M., & Lendasse, A. (2019). Mislabel Detection of Finnish Publication Ranks. In J. Cao, C. M. Vong, Y. Miche, & A. Lendasse (Eds.), <i>Proceedings of ELM-2017</i> (pp. 240-248). Springer International Publishing. Proceedings in Adaptation, Learning and Optimization, 10. <a href="https://doi.org/10.1007/978-3-030-01520-6_22" target="_blank">https://doi.org/10.1007/978-3-030-01520-6_22</a>
dc.identifier.otherCONVID_28671046
dc.identifier.otherTUTKAID_79209
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/60034
dc.description.abstractThe paper proposes to analyze a data set of Finnish ranks of academic publication channels with Extreme Learning Machine (ELM). The purpose is to introduce and test recently proposed ELM-based mislabel detection approach with a rich set of features characterizing a publication channel. We will compare the architecture, accuracy, and, especially, the set of detected mislabels of the ELM-based approach to the corresponding reference results in.fi
dc.format.extent340
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.relation.ispartofProceedings of ELM-2017
dc.relation.ispartofseriesProceedings in Adaptation, Learning and Optimization
dc.rightsIn Copyright
dc.subject.otherjulkaisukanavat
dc.subject.othermislabel detection
dc.subject.otherpublication channels
dc.subject.otherrankings
dc.subject.otherExtreme Learning Machine (ELM)
dc.titleMislabel Detection of Finnish Publication Ranks
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201810234499
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2018-10-23T12:15:29Z
dc.relation.isbn978-3-030-01519-0
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange240-248
dc.relation.issn2363-6084
dc.relation.numberinseries10
dc.type.versionacceptedVersion
dc.rights.copyright© Springer Nature Switzerland AG 2019
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Conference on Extreme Learning Machine
dc.subject.ysotieteellinen julkaisutoiminta
dc.subject.ysorankinglistat
dc.subject.ysodata
dc.subject.ysoarviointi
dc.subject.ysovirheanalyysi
dc.subject.ysokoneoppiminen
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p10480
jyx.subject.urihttp://www.yso.fi/onto/yso/p23526
jyx.subject.urihttp://www.yso.fi/onto/yso/p27250
jyx.subject.urihttp://www.yso.fi/onto/yso/p7413
jyx.subject.urihttp://www.yso.fi/onto/yso/p9865
jyx.subject.urihttp://www.yso.fi/onto/yso/p21846
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/978-3-030-01520-6_22
dc.type.okmA4


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