Sarah Vluymans
Contact
Ghent University
Dept. of Applied Mathematics, Computer Science & Statistics
Krijgslaan 281 (Building S9, Room 40.09.120.028)
9000 Gent
Belgium
Phone: +32 9 264 47 72
Inflammation Research Center
Flemish Institute for Biotechnology
Technologiepark 927
9052 Zwijnaarde
Belgium
Phone: +32 9 331 38 10
E-mail: sarah.vluymans@ugent.be
Short biography
Sarah Vluymans obtained her Master degree in Mathematical Informatics at Ghent University in 2014. Currently, she is a Ph.D student at Ghent University and is part of the DAMBI research group at the Inflammation Research Centre (IRC) of the Flemish Institute for Biotechnology. Her research is funded by the Special Research Fund (BOF) of Ghent University. She is also enrolled at the University of Granada in Spain and is working towards a joint Ph.D between this institution and Ghent University.
Publications
Papers in international journals listed in SCI - Science Citation Index
- Multi-label Classification using a Fuzzy Rough Neighborhood consensus
S. Vluymans, C. Cornelis, F. Herrera , Y. Saeys
Information Sciences 433-434, p.96-114, 2018
- Dynamic Affinity-based Classification of Multi-Class Imbalanced Data with One-vs-One Decomposition: a Fuzzy Rough Approach
S. Vluymans, A. Fernández, Y. Saeys, C. Cornelis, F. Herrera
To appear in: Knowledge and Information Systems
- EPRENNID: An Evolutionary Prototype Reduction
Based Ensemble for Nearest Neighbor Classification of Imbalanced Data [PDF]
S. Vluymans, I. Triguero, C. Cornelis, Y. Saeys
Neurocomputing 216, p. 596-610, 2016
- Improving Nearest Neighbor Classification using Ensembles of Evolutionary Generated Prototype Subsets [PDF]
N. Verbiest, S. Vluymans, C. Cornelis, N. García-Pedrajas, Y. Saeys
Applied Soft Computing 44, p.75-88, 2016
- Fuzzy Rough Classifiers for Class Imbalanced Multi-Instance Data [PDF]
S. Vluymans, D. Sánchez Tarragó, Y. Saeys, C. Cornelis, F. Herrera
Pattern Recognition 53, p.36-45, 2016
- Fuzzy Multi-Instance Classifiers
S. Vluymans, D. Sánchez Tarragó, Y. Saeys, C. Cornelis, F. Herrera
IEEE Transactions on Fuzzy Systems 24(6), p.1395-1409, 2016
- Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey [PDF]
S. Vluymans, L. D'eer, Y. Saeys, C. Cornelis
Fundamenta Informaticae 142(1-4), p.53-86, 2015
- IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification [PDF]
E. Ramentol, S. Vluymans, N. Verbiest, Y. Caballero, R. Bello, C. Cornelis, F. Herrera
IEEE Transactions on Fuzzy Systems 23(5), p.1622-1637, 2015
Books
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Multiple Instance Learning - Foundations and Algorithms [Publisher's link] [Flyer]
F. Herrera, S. Ventura, R. Bello, C. Cornelis, A. Zafra, D. Sánchez-Tarragó, S. Vluymans
Springer, 2016
Papers in proceedings
- Fuzzy Rough Sets for Self-Labelling: an Exploratory Analysis [PDF]
S. Vluymans, N. Mac Parthaláin, C. Cornelis, Y. Saeys
in: Proceedings of 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), p. 931-938, 2016
- Semi-Supervised Fuzzy-Rough Feature Selection [PDF]
R. Jensen, S. Vluymans, N. Mac Parthaláin, C. Cornelis, Y. Saeys
in: Proceedings of 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC2015), LNAI 9437, p. 185-195, 2015
- Distributed Fuzzy Rough Prototype Selection for Big Data Regression
[PDF]
S. Vluymans, H. Asfoor, Y. Saeys, C. Cornelis, M. Tolentino, A. Teredesai, M. De Cock
in: Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS2015), p. 153-158, 2015
- Fuzzy Rough Set Prototype Selection for Regression
[PDF]
S. Vluymans, Y. Saeys, C. Cornelis, A. Teredesai, M. De Cock
in: Proceedings of the 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), 2015
- Evolutionary Undersampling for Imbalanced Big Data Classification
[PDF]
I. Triguero, M. Galar, S. Vluymans, C. Cornelis, H. Bustince, F. Herrera, Y. Saeys
in: Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC2015), p. 715-722, 2015
Abstracts
- Machine Learning for Bioinformatics: Uncertainty Management with Fuzzy Rough Sets
[PDF]
S. Vluymans, C. Cornelis, Y. Saeys
Invited abstract for SUM 2016
- Improving Nearest Neighbor Classification using Ensembles of Evolutionary Generated Prototype Subsets
[PDF] [POSTER]
S. Vluymans, N. Verbiest, C. Cornelis, N. García-Pedrajas, Y. Saeys
in: Proceedings of the 25th annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2016), 2016.
- Instance Selection for Imbalanced Data
S. Vluymans
in: Proceedings of the RST&A workshop (RST&A, JRS 2014), 2014.
- Instance Selection for Imbalanced Data
[PDF]
S. Vluymans, N. Verbiest, C. Cornelis, Y. Saeys
in: Proceedings of the 23rd annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2014), p. 9, 2014.
Master Thesis
- Instance Selection for Imbalanced Data
[PDF]
Sarah Vluymans
Master Thesis, Universiteit Gent, 2014
Conferences
- 2016 International Conference on Scalable Uncertainty Management (SUM 2016), September 21-23, 2016, Nice, France: Presenting author of "Machine Learning for Bioinformatics: Uncertainty Management with Fuzzy Rough Sets"
- 2016 BENELEARN, September 12-13, 2016, Kortrijk, Belgium: Presenting author of "Improving Nearest Neighbor Classification using Ensembles of Evolutionary Generated Prototype Subsets"
- 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016), July 24-29, 2016, Vancouver, Canada: Presenting author of "Fuzzy Rough Sets for Self-Labelling: an Exploratory Analysis"
- 2015 Benelux Bioinformatics Conference (BBC), December 7-8, 2015, Antwerp, Belgium
- 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS2015), August 17-19, 2015, Redmond, Washington, USA: Presenting author of "Distributed Fuzzy Rough Prototype Selection for Big Data Regression"
- 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), August 2-5, 2015, Istanbul, Turkey: Presenting author of "Fuzzy Rough Set Prototype Selection for Regression"
- 2014 Benelux Bioinformatics Conference (BBC), December 8-9, 2014, Luxemburg, Luxemburg
- 2014 Joint Rough Set Symposium (JRS2014), July 9-13, 2014, Granada and Madrid, Spain: Presenting author of "Instance Selection for Imbalanced data" (RST&A workshop)
- 2014 BENELEARN, June 6, 2014, Brussels, Belgium: Presenting author of "Instance Selection for Imbalanced data"