Mislabel Detection of Finnish Publication Ranks

Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

The 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 Saarela, M., Kärkkäinen, T., Lahtonen, T., Rossi, T.: Expert-based versus citation-based ranking of scholarly and scientific publication channels. J. Informetrics 10(3), 693–718 (2016).
OriginalspråkEngelska
Titel på värdpublikationInternational Conference on Extreme Learning Machine: Proceedings of ELM-2017
Antal sidor9
UtgivningsortCham
FörlagSpringer
Utgivningsdatum17.10.2018
Sidor240-248
ISBN (tryckt)978-3-030-01519-0
ISBN (elektroniskt)978-3-030-01520-6
DOI
StatusPublicerad - 17.10.2018
MoE-publikationstypA4 Artikel i en konferenspublikation
Evenemang2017 the 8th International Conference on Extreme Learning Machines (ELM) - Yantai, Kina
Varaktighet: 04.10.201707.10.2017
http://www.ntu.edu.sg/home/egbhuang/elm2017/index.html

Publikationsserier

NamnProceedings in Adaptation, Learning and Optimization (PALO)
Volym10

Nyckelord

  • 512 Företagsekonomi

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