Sarah Vluymans

发表

Multi-label classification using a fuzzy rough neighborhood consensus

Sarah Vluymans, Yvan Saeys, F. Herrera, 2018, Inf. Sci..

Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey

Chris Cornelis, Sarah Vluymans, Yvan Saeys, 2015, Fundam. Informaticae.

Fuzzy Rough Set Based Classification of Semi-supervised Data

Sarah Vluymans, 2019 .

Distributed fuzzy rough prototype selection for Big Data regression

Chris Cornelis, Martine De Cock, Sarah Vluymans, 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

Fuzzy Rough Set Prototype Selection for Regression

Chris Cornelis, Martine De Cock, Sarah Vluymans, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy Multi-Instance Classifiers

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016, IEEE Transactions on Fuzzy Systems.

IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2015, IEEE Transactions on Fuzzy Systems.

Weight selection strategies for ordered weighted average based fuzzy rough sets

Chris Cornelis, Sarah Vluymans, Yvan Saeys, 2019, Inf. Sci..

Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets

Chris Cornelis, Sarah Vluymans, Yvan Saeys, 2016, Appl. Soft Comput..

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data

Chris Cornelis, Sarah Vluymans, Yvan Saeys, 2016, Neurocomputing.

Multiple Instance Learning

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

Sarah Vluymans, Sarah Vluymans, 2018, Studies in Computational Intelligence.

Imbalanced Multi-instance Data

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Semi-Supervised Fuzzy-Rough Feature Selection

Chris Cornelis, Sarah Vluymans, Yvan Saeys, 2015, RSFDGrC.

Instance Selection for Imbalanced Data

Chris Cornelis, Sarah Vluymans, Yvan Saeys, 2014 .

Bag-Based Classification Methods

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Multiple Instance Multiple Label Learning

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Multi-instance Regression

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Evolutionary undersampling for imbalanced big data classification

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Understanding OWA Based Fuzzy Rough Sets

Sarah Vluymans, 2019 .

Learning from Imbalanced Data

Sarah Vluymans, Sarah Vluymans, 2018, Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods.

Instance-Based Classification Methods

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2018, Knowledge and Information Systems.

Fuzzy rough sets for self-labelling: An exploratory analysis

Chris Cornelis, Sarah Vluymans, Yvan Saeys, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy rough classifiers for class imbalanced multi-instance data

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016, Pattern Recognit..

Multi-label Learning

Sarah Vluymans, 2019 .

Unsupervised Multiple Instance Learning

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Multiple Instance Learning

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016, Springer International Publishing.

Multi-instance Learning

Sarah Vluymans, 2019 .

Multi-instance Classification

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .