Abstract
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).
Original language | English |
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Title of host publication | International Conference on Extreme Learning Machine: Proceedings of ELM-2017 |
Number of pages | 9 |
Place of Publication | Cham |
Publisher | Springer |
Publication date | 17.10.2018 |
Pages | 240-248 |
ISBN (Print) | 978-3-030-01519-0 |
ISBN (Electronic) | 978-3-030-01520-6 |
DOIs | |
Publication status | Published - 17.10.2018 |
MoE publication type | A4 Article in conference proceedings |
Event | 2017 the 8th International Conference on Extreme Learning Machines (ELM) - Yantai, China Duration: 04.10.2017 → 07.10.2017 http://www.ntu.edu.sg/home/egbhuang/elm2017/index.html |
Publication series
Name | Proceedings in Adaptation, Learning and Optimization (PALO) |
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Volume | 10 |
Keywords
- 512 Business and Management
- ELM
- Mislabel detection
- Publication channel