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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  1. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  1. Machine Learning for Bioinformatics: Uncertainty Management with Fuzzy Rough Sets [PDF]
    S. Vluymans, C. Cornelis, Y. Saeys
    Invited abstract for SUM 2016

  2. 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.

  3. Instance Selection for Imbalanced Data
    S. Vluymans
    in: Proceedings of the RST&A workshop (RST&A, JRS 2014), 2014.

  4. 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

  1. Instance Selection for Imbalanced Data [PDF]
    Sarah Vluymans
    Master Thesis, Universiteit Gent, 2014

Conferences

  1. 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"
  2. 2016 BENELEARN, September 12-13, 2016, Kortrijk, Belgium: Presenting author of "Improving Nearest Neighbor Classification using Ensembles of Evolutionary Generated Prototype Subsets"
  3. 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"
  4. 2015 Benelux Bioinformatics Conference (BBC), December 7-8, 2015, Antwerp, Belgium
  5. 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"
  6. 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"
  7. 2014 Benelux Bioinformatics Conference (BBC), December 8-9, 2014, Luxemburg, Luxemburg
  8. 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)
  9. 2014 BENELEARN, June 6, 2014, Brussels, Belgium: Presenting author of "Instance Selection for Imbalanced data"

Supplementary material

Supplementary material for selected research papers can be found here.
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