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ORCIDSarah Vluymans
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2010 – 2019
- 2019
[b2]Sarah Vluymans:
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods. Studies in Computational Intelligence 807, Springer 2019, ISBN 978-3-030-04662-0- [j9]Sarah Vluymans
, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys:
Weight selection strategies for ordered weighted average based fuzzy rough sets. Inf. Sci. 501: 155-171 (2019) - 2018
- [j8]Sarah Vluymans, Chris Cornelis, Francisco Herrera, Yvan Saeys:
Multi-label classification using a fuzzy rough neighborhood consensus. Inf. Sci. 433-434: 96-114 (2018) - [j7]Sarah Vluymans, Alberto Fernández, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach. Knowl. Inf. Syst. 56(1): 55-84 (2018) - 2016
- [b1]Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans:
Multiple Instance Learning - Foundations and Algorithms. Springer 2016, ISBN 978-3-319-47758-9, pp. 1-233 - [j6]Nele Verbiest, Sarah Vluymans, Chris Cornelis, Nicolás García-Pedrajas, Yvan Saeys:
Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets. Appl. Soft Comput. 44: 75-88 (2016) - [j5]Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys:
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing 216: 596-610 (2016) - [j4]Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognit. 53: 36-45 (2016) - [j3]Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Fuzzy Multi-Instance Classifiers. IEEE Trans. Fuzzy Syst. 24(6): 1395-1409 (2016) - [c5]Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys:
Fuzzy rough sets for self-labelling: An exploratory analysis. FUZZ-IEEE 2016: 931-938 - 2015
- [j2]Sarah Vluymans, Lynn D'eer, Yvan Saeys, Chris Cornelis:
Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey. Fundam. Informaticae 142(1-4): 53-86 (2015) - [j1]Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera:
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Trans. Fuzzy Syst. 23(5): 1622-1637 (2015) - [c4]Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys:
Evolutionary undersampling for imbalanced big data classification. CEC 2015: 715-722 - [c3]Sarah Vluymans, Yvan Saeys, Chris Cornelis, Ankur Teredesai, Martine De Cock:
Fuzzy Rough Set Prototype Selection for Regression. FUZZ-IEEE 2015: 1-8 - [c2]Sarah Vluymans, Hasan Asfoor, Yvan Saeys, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock:
Distributed fuzzy rough prototype selection for Big Data regression. NAFIPS/WConSC 2015: 1-6 - [c1]Richard Jensen, Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys:
Semi-Supervised Fuzzy-Rough Feature Selection. RSFDGrC 2015: 185-195
Coauthor Index
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