6533b860fe1ef96bd12c31f3

RESEARCH PRODUCT

Mislabel Detection of Finnish Publication Ranks

Tommi KärkkäinenAnton AkusokAmaury LendasseKaj-mikael BjörkMirka Saarela

subject

FOS: Computer and information sciencesComputer Science - Machine LearningComputer sciencerankinglistatMachine Learning (stat.ML)computer.software_genreMachine Learning (cs.LG)Set (abstract data type)Statistics - Machine LearningDigital Libraries (cs.DL)julkaisukanavatvirheanalyysimislabel detectionExtreme learning machineExtreme Learning Machine (ELM)publication channelsComputer Science - Digital LibrariesData setkoneoppiminendataData miningrankingsarviointicomputertieteellinen julkaisutoimintaCommunication channel

description

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.

yearjournalcountryeditionlanguage
2019-01-01
https://doi.org/10.1007/978-3-030-01520-6_22