A mixed solution-based high agreement filtering method for class noise detection in binary classification

Samami, Maryam, Akbari, Ebrahim, Abdar, Moloud, Plawiak, Pawel, Nematzadeh, Hossein, Basiri, Mohammad Ehsan and Makarenkov, Vladimir 2020, A mixed solution-based high agreement filtering method for class noise detection in binary classification, Physica A: Statistical Mechanics and its Applications, vol. 553, pp. 1-28, doi: 10.1016/j.physa.2020.124219.

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Title A mixed solution-based high agreement filtering method for class noise detection in binary classification
Author(s) Samami, Maryam
Akbari, Ebrahim
Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Plawiak, Pawel
Nematzadeh, Hossein
Basiri, Mohammad Ehsan
Makarenkov, Vladimir
Journal name Physica A: Statistical Mechanics and its Applications
Volume number 553
Article ID 124219
Start page 1
End page 28
Total pages 28
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2020-09-01
ISSN 0378-4371
Keyword(s) data mining
high agreement voting filter
classification
removing
relabeling
class noise detection
Language eng
DOI 10.1016/j.physa.2020.124219
Indigenous content off
Field of Research 0102 Applied Mathematics
0105 Mathematical Physics
0206 Quantum Physics
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135244

Document type: Journal Article
Collection: Deputy Vice-Chancellor Research Group
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