Onderzoeker

Sarah Vluymans

Disciplines:Toegepaste wiskunde, Statistische en numerieke methoden

Publicaties

1 - 10 van 18

Weight selection strategies for ordered weighted average based fuzzy rough sets(2019)
Auteurs: Sarah Vluymans, Neil Mac Parthalain, Chris Cornelis, Yvan Saeys
Pagina's: 155 - 171
Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods(2018)
Auteurs: Sarah Vluymans
Multi-label classification using a fuzzy rough neighborhood consensus(2018)
Auteurs: Sarah Vluymans, Chris Cornelis, Francisco Herrera, Yvan Saeys
Pagina's: 96 - 114
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition : a fuzzy rough set approach(2018)
Auteurs: Sarah Vluymans, Alberto Fernández, Yvan Saeys, Chris Cornelis, Francisco Herrera
Pagina's: 55 - 84
Fuzzy rough sets for self-labelling : an exploratory analysis(2016)
Auteurs: Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
Pagina's: 931 - 938
Fuzzy multi-instance classifiers(2016)
Auteurs: Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera
Pagina's: 1395 - 1409
Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets(2016)
Auteurs: Nele Verbiest, Sarah Vluymans, Chris Cornelis, Nicolás García-Pedrajas, Yvan Saeys
Pagina's: 75 - 88
Fuzzy rough classifiers for class imbalanced multi-instance data(2016)
Auteurs: Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera
Pagina's: 36 - 45
EPRENNID : an evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data(2016)
Auteurs: Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys
Pagina's: 596 - 610
Applications of fuzzy rough set theory in machine learning: a survey(2015)
Auteurs: Sarah Vluymans, Lynn D'eer, Yvan Saeys, Chris Cornelis
Pagina's: 53 - 86

Onderzoeker

Sarah Vluymans

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