Sarah Vluymans

According to our database, Sarah Vluymans authored at least 16 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

Sarah Vluymans

Studies in Computational Intelligence 807, Springer, ISBN: 978-3-030-04663-7, 2019

Weight selection strategies for ordered weighted average based fuzzy rough sets.

Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys

Inf. Sci., 2019

2018

Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach.

Sarah Vluymans, Alberto Fernández, Yvan Saeys, Chris Cornelis, Francisco Herrera

Knowl. Inf. Syst., 2018

Multi-label classification using a fuzzy rough neighborhood consensus.

Sarah Vluymans, Chris Cornelis, Francisco Herrera, Yvan Saeys

Inf. Sci., 2018

2016

Fuzzy Multi-Instance Classifiers.

Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera

IEEE Trans. Fuzzy Syst., 2016

Fuzzy rough classifiers for class imbalanced multi-instance data.

Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera

Pattern Recognit., 2016

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data.

Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys

Neurocomputing, 2016

Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets.

Nele Verbiest, Sarah Vluymans, Chris Cornelis, Nicolás García-Pedrajas, Yvan Saeys

Appl. Soft Comput., 2016

Fuzzy rough sets for self-labelling: An exploratory analysis.

Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Multiple Instance Learning - Foundations and Algorithms

Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans

Springer, ISBN: 978-3-319-47759-6, 2016

2015

IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification.

Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera

IEEE Trans. Fuzzy Syst., 2015

Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey.

Sarah Vluymans, Lynn D'eer, Yvan Saeys, Chris Cornelis

Fundam. Informaticae, 2015

Semi-Supervised Fuzzy-Rough Feature Selection.

Richard Jensen, Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Distributed fuzzy rough prototype selection for Big Data regression.

Sarah Vluymans, Hasan Asfoor, Yvan Saeys, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock

Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Fuzzy Rough Set Prototype Selection for Regression.

Sarah Vluymans, Yvan Saeys, Chris Cornelis, Ankur Teredesai, Martine De Cock

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Evolutionary undersampling for imbalanced big data classification.

Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys

Proceedings of the IEEE Congress on Evolutionary Computation, 2015