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Ghent University. Faculty of Medicine and Health Sciences ; University of Granada. Department of Computer Science and Artificial Intelligence
Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods
Degree
thesis:*- Grantor dc:publisher
- Ghent University. Faculty of Medicine and Health Sciences ; University of Granada. Department of Computer Science and Artificial Intelligence
- Year dc:date
- 2018
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Vluymans, Sarah
- Contributors dc:contributor
-
- Saeys, Yvan
- Cornelis, Chris
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- info:eu-repo/semantics/openAccess
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
https://biblio.ugent.be/publication/8567516
https://biblio.ugent.be/publication/8567516/file/8567517 - OAI identifier oai:identifier
- oai:archive.ugent.be:8567516