Sarah Vluymans

Most-cited papers

IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification
Enislay Ramentol, Sarah Vluymans, N. Verbiest, Yailé Caballero +3 more
2015IEEE transactions on fuzzy systems99 citations Open access
Semantic Scholar
Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey
Sarah Vluymans, Lynn D'Eer, Y. Saeys, C. Cornelis
2015Fundamenta Informaticae62 citations Open access
Semantic Scholar
Fuzzy rough classifiers for class imbalanced multi-instance data
Sarah Vluymans, Dánel Sánchez Tarragó, Y. Saeys, C. Cornelis +1 more
2016Pattern Recognition57 citations
Semantic Scholar
Multi-label classification using a fuzzy rough neighborhood consensus
Sarah Vluymans, C. Cornelis, F. Herrera, Y. Saeys
2018Information Sciences54 citations
Semantic Scholar
Evolutionary undersampling for imbalanced big data classification
I. Triguero, M. Galar, Sarah Vluymans, C. Cornelis +3 more
2015IEEE Congress on Evolutionary Computation54 citations
Semantic Scholar
Weight selection strategies for ordered weighted average based fuzzy rough sets
Sarah Vluymans, Neil Mac Parthaláin, C. Cornelis, Y. Saeys
2019Information Sciences44 citations
Semantic Scholar
Multiple Instance Learning
F. Herrera, Sebastián Ventura, Rafael Bello, C. Cornelis +3 more
2016Cambridge International Law Journal43 citations
Semantic Scholar
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach
Sarah Vluymans, A. Fernández, Y. Saeys, C. Cornelis +1 more
2017Knowledge and Information Systems39 citations
Semantic Scholar
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods
Sarah Vluymans
2018Studies in Computational Intelligence34 citations
Semantic Scholar
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data
Sarah Vluymans, I. Triguero, C. Cornelis, Y. Saeys
2016Neurocomputing23 citations Open access
Semantic Scholar
Learning from Imbalanced Data
Sarah Vluymans
2018Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods18 citations
Semantic Scholar
Fuzzy Multi-Instance Classifiers
Sarah Vluymans, Dánel Sánchez Tarragó, Y. Saeys, C. Cornelis +1 more
2016IEEE transactions on fuzzy systems15 citations
Semantic Scholar
Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets
N. Verbiest, Sarah Vluymans, C. Cornelis, Nicolás E. García-Pedrajas +1 more
2016Applied Soft Computing13 citations Open access
Semantic Scholar
Semi-Supervised Fuzzy-Rough Feature Selection
Richard Jensen, Sarah Vluymans, N. M. Parthaláin, C. Cornelis +1 more
2015Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing12 citations Open access
Semantic Scholar
Distributed fuzzy rough prototype selection for Big Data regression
Sarah Vluymans, Hasan Asfoor, Y. Saeys, C. Cornelis +3 more
2015Annual Conference on the North American Fuzzy Information Processing Society6 citations
Semantic Scholar
Fuzzy rough sets for self-labelling: An exploratory analysis
Sarah Vluymans, N. M. Parthaláin, C. Cornelis, Y. Saeys
2016IEEE International Conference on Fuzzy Systems4 citations
Semantic Scholar
Multiple Instance Multiple Label Learning
F. Herrera, S. Ventura, Rafael Bello, C. Cornelis +3 more
20164 citations
Semantic Scholar
Multi-instance Regression
F. Herrera, Sebastián Ventura, Rafael Bello, C. Cornelis +3 more
20164 citations
Semantic Scholar
Instance Selection for Imbalanced Data
Sarah Vluymans, N. Verbiest, C. Cornelis, Y. Saeys
20143 citations
Semantic Scholar
Unsupervised Multiple Instance Learning
F. Herrera, S. Ventura, Rafael Bello, C. Cornelis +3 more
20162 citations
Semantic Scholar
Multi-instance Classification
F. Herrera, Sebastián Ventura, Rafael Bello, C. Cornelis +3 more
20162 citations
Semantic Scholar
Instance-Based Classification Methods
F. Herrera, Sebastián Ventura, Rafael Bello, C. Cornelis +3 more
20161 citations
Semantic Scholar
Fuzzy Rough Set Prototype Selection for Regression
Sarah Vluymans, Y. Saeys, C. Cornelis, Ankur Teredesai +1 more
2015IEEE International Conference on Fuzzy Systems1 citations
Semantic Scholar
Understanding OWA Based Fuzzy Rough Sets
Sarah Vluymans
2018Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods0 citations
Semantic Scholar
Multi-instance Learning
Sarah Vluymans
2018Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods0 citations
Semantic Scholar
Fuzzy Rough Set Based Classification of Semi-supervised Data
Sarah Vluymans
2018Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods0 citations
Semantic Scholar
Aberystwyth University Weight selection strategies for ordered weighted average based fuzzy rough sets
Sarah Vluymans, N. M. Parthaláin, C. Cornelis, Y. Saeys
20180 citations
Semantic Scholar
Multi-label Learning
Sarah Vluymans
2018Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods0 citations
Semantic Scholar
Introduction
Sarah Vluymans
2018Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods0 citations
Semantic Scholar
Classification
Sarah Vluymans
2018Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods0 citations
Semantic Scholar
Imbalanced Multi-instance Data
F. Herrera, S. Ventura, Rafael Bello, C. Cornelis +3 more
20160 citations
Semantic Scholar
Bag-Based Classification Methods
F. Herrera, Sebastián Ventura, Rafael Bello, C. Cornelis +3 more
20160 citations
Semantic Scholar