Evolutionary undersampling for imbalanced big data classification. - Isaac Triguero; Mikel Galar; Sarah Vluymans; Chris Cornelis; Humberto Bustince; Francisco Herrera; Yvan Saeys (CEC, 2015)

Fuzzy Rough Set Prototype Selection for Regression. - Sarah Vluymans; Yvan Saeys; Chris Cornelis; Ankur Teredesai; Martine De Cock (FUZZ-IEEE, 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 (NAFIPS/WConSC, 2015)

Semi-Supervised Fuzzy-Rough Feature Selection. - Richard Jensen; Sarah Vluymans; Neil Mac Parthaláin; Chris Cornelis; Yvan Saeys (RSFDGrC, 2015)

Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey. - Sarah Vluymans; Lynn D'eer; Yvan Saeys; Chris Cornelis (Fundam. Informaticae, 2015)

IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. - Enislay Ramentol; Sarah Vluymans; Nele Verbiest; Yaile Caballero; Rafael Bello 001; Chris Cornelis; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2015)

Multiple Instance Learning - Foundations and Algorithms - Francisco Herrera; Sebastián Ventura; Rafael Bello 001; Chris Cornelis; Amelia Zafra; Dánel Sánchez Tarragó; Sarah Vluymans (Springer, 2016)

Fuzzy rough sets for self-labelling: An exploratory analysis. - Sarah Vluymans; Neil Mac Parthaláin; Chris Cornelis; Yvan Saeys (FUZZ-IEEE, 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)

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. - Sarah Vluymans; Isaac Triguero; Chris Cornelis; Yvan Saeys (Neurocomputing, 2016)

Fuzzy rough classifiers for class imbalanced multi-instance data. - Sarah Vluymans; Dánel Sánchez Tarragó; Yvan Saeys; Chris Cornelis; Francisco Herrera (Pattern Recognit., 2016)

Fuzzy Multi-Instance Classifiers. - Sarah Vluymans; Dánel Sánchez Tarragó; Yvan Saeys; Chris Cornelis; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2016)

Multi-label classification using a fuzzy rough neighborhood consensus. - Sarah Vluymans; Chris Cornelis; Francisco Herrera; Yvan Saeys (Inf. Sci., 2018)

Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach. - Sarah Vluymans; Alberto Fernández 001; Yvan Saeys; Chris Cornelis; Francisco Herrera (Knowl. Inf. Syst., 2018)

Weight selection strategies for ordered weighted average based fuzzy rough sets. - Sarah Vluymans; Neil Mac Parthaláin; Chris Cornelis; Yvan Saeys (Inf. Sci., 2019)

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods - Sarah Vluymans (Springer, 2019)