Mislabel Detection of Finnish Publication Ranks
Machine Learning
2019-12-20 v1 Digital Libraries
Machine Learning
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 on the reference paper.
Keywords
Cite
@article{arxiv.1912.09094,
title = {Mislabel Detection of Finnish Publication Ranks},
author = {Anton Akusok and Mirka Saarela and Tommi Kärkkäinen and Kaj-Mikael Björk and Amaury Lendasse},
journal= {arXiv preprint arXiv:1912.09094},
year = {2019}
}