Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/30511
Title: | Reduction methods for multi-label datasets based on Granular Computing | Authors: | BELLO GARCIA, Marilyn NAPOLES RUIZ, Gonzalo VANHOOF, Koen Bello, Rafael |
Issue Date: | 2019 | Source: | Beuls, Katrien; Bogaerts, Bart; Bontempi , Gianluca; Geurts, Pierre; Harley, Nick; Lebichot, Bertrand; Lenaerts, Tom; Louppe, Gilles; Eecke, Paul (Ed.). Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), | Series/Report: | CEUR Workshop Proceedings | Series/Report no.: | 2491 | Document URI: | http://hdl.handle.net/1942/30511 | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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abstract52.pdf | Published version | 257.1 kB | Adobe PDF | View/Open |
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