Sarah Vluymans
Titel
Zitiert von
Zitiert von
Jahr
Multiple instance learning
F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, ...
Multiple instance learning, 17-33, 2016
752016
IFROWANN: imbalanced fuzzy-rough ordered weighted average nearest neighbor classification
E Ramentol, S Vluymans, N Verbiest, Y Caballero, R Bello, C Cornelis, ...
IEEE Transactions on Fuzzy Systems 23 (5), 1622-1637, 2014
752014
Fuzzy rough classifiers for class imbalanced multi-instance data
S Vluymans, DS Tarragó, Y Saeys, C Cornelis, F Herrera
Pattern Recognition 53, 36-45, 2016
452016
Applications of fuzzy rough set theory in machine learning: a survey
S Vluymans, L D’eer, Y Saeys, C Cornelis
Fundamenta Informaticae 142 (1-4), 53-86, 2015
442015
Evolutionary undersampling for imbalanced big data classification
I Triguero, M Galar, S Vluymans, C Cornelis, H Bustince, F Herrera, ...
2015 IEEE Congress on Evolutionary Computation (CEC), 715-722, 2015
362015
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach
S Vluymans, A Fernández, Y Saeys, C Cornelis, F Herrera
Knowledge and Information Systems 56 (1), 55-84, 2018
292018
Multi-label classification using a fuzzy rough neighborhood consensus
S Vluymans, C Cornelis, F Herrera, Y Saeys
Information Sciences 433, 96-114, 2018
282018
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data
S Vluymans, I Triguero, C Cornelis, Y Saeys
Neurocomputing 216, 596-610, 2016
182016
Learning from imbalanced data
S Vluymans
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using …, 2019
172019
Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods
S Vluymans
Springer International Publishing, 2019
112019
Improving nearest neighbor classification using ensembles of evolutionary generated prototype subsets
N Verbiest, S Vluymans, C Cornelis, N García-Pedrajas, Y Saeys
Applied Soft Computing 44, 75-88, 2016
112016
Fuzzy multi-instance classifiers
S Vluymans, DS Tarragó, Y Saeys, C Cornelis, F Herrera
IEEE Transactions on Fuzzy Systems 24 (6), 1395-1409, 2016
112016
Semi-supervised fuzzy-rough feature selection
R Jensen, S Vluymans, N Mac Parthaláin, C Cornelis, Y Saeys
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 185-195, 2015
112015
Weight selection strategies for ordered weighted average based fuzzy rough sets
S Vluymans, N Mac Parthaláin, C Cornelis, Y Saeys
Information Sciences 501, 155-171, 2019
92019
Fuzzy rough sets for self-labelling: An exploratory analysis
S Vluymans, N Mac Parthaláin, C Cornelis, Y Saeys
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 931-938, 2016
52016
Distributed fuzzy rough prototype selection for big data regression
S Vluymans, H Asfoor, Y Saeys, C Cornelis, M Tolentino, A Teredesai, ...
2015 Annual Conference of the North American Fuzzy Information Processing …, 2015
52015
Instance selection for imbalanced data
S Vluymans, N Verbiest, C Cornelis, Y Saeys
WorkshopRough Sets: Theory and Applications (RST&A); held at the 2014 Joint …, 2014
52014
Multiple Instance Multiple Label Learning
F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, ...
Multiple Instance Learning, 209-230, 2016
42016
Multi-instance regression
F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, ...
Multiple Instance Learning, 127-140, 2016
42016
Unsupervised multiple instance learning
F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, ...
Multiple Instance Learning, 141-167, 2016
22016
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