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).
| Originalspråk | Engelska |
|---|---|
| Titel på värdpublikation | International Conference on Extreme Learning Machine: Proceedings of ELM-2017 |
| Antal sidor | 9 |
| Utgivningsort | Cham |
| Förlag | Springer |
| Utgivningsdatum | 17.10.2018 |
| Sidor | 240-248 |
| ISBN (tryckt) | 978-3-030-01519-0 |
| ISBN (elektroniskt) | 978-3-030-01520-6 |
| DOI | |
| Status | Publicerad - 17.10.2018 |
| MoE-publikationstyp | A4 Artikel i en konferenspublikation |
| Evenemang | 2017 the 8th International Conference on Extreme Learning Machines (ELM) - Yantai, Kina Varaktighet: 04.10.2017 → 07.10.2017 http://www.ntu.edu.sg/home/egbhuang/elm2017/index.html |
Publikationsserier
| Namn | Proceedings in Adaptation, Learning and Optimization (PALO) |
|---|---|
| Volym | 10 |
Nyckelord
- 512 Företagsekonomi
Fingeravtryck
Fördjupa i forskningsämnen för ”Mislabel Detection of Finnish Publication Ranks”. Tillsammans bildar de ett unikt fingeravtryck.Citera det här
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