Research Explorer

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Researcher

Sarah Vluymans

Awards & Distinctions

18 Results

2019

Weight selection strategies for ordered weighted average based fuzzy rough sets

Sarah VluymansNeil Mac ParthalainChris CornelisYvan Saeys

A1 Journal Article in INFORMATION SCIENCES

2018

Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods

Sarah VluymansYvan SaeysChris Cornelis

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

Sarah VluymansAlberto FernándezYvan SaeysChris CornelisFrancisco Herrera

A1 Journal Article in KNOWLEDGE AND INFORMATION SYSTEMS

Multi-label classification using a fuzzy rough neighborhood consensus

Sarah VluymansChris CornelisFrancisco HerreraYvan Saeys

A1 Journal Article in INFORMATION SCIENCES

2016

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

Sarah VluymansIsaac TrigueroChris CornelisYvan Saeys

A1 Journal Article in NEUROCOMPUTING

Fuzzy multi-instance classifiers

Sarah VluymansDánel Sánchez TarragóYvan SaeysChris CornelisFrancisco Herrera

A1 Journal Article in IEEE TRANSACTIONS ON FUZZY SYSTEMS

Fuzzy rough classifiers for class imbalanced multi-instance data

Sarah VluymansDánel Sánchez TarragóYvan SaeysChris CornelisFrancisco Herrera

A1 Journal Article in PATTERN RECOGNITION

Fuzzy rough sets for self-labelling : an exploratory analysis

Sarah VluymansNeil Mac ParthaláinChris CornelisYvan Saeys

Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets

Nele VerbiestSarah VluymansChris CornelisNicolás García-PedrajasYvan Saeys

A1 Journal Article in APPLIED SOFT COMPUTING

Multiple instance learning : foundations and algorithms

Francisco HerreraSebastián VenturaRafael BelloChris CornelisAmelia ZafraDánel Sánchez-TarragóSarah Vluymans

2015

Applications of fuzzy rough set theory in machine learning: a survey

Sarah VluymansLynn D'eerYvan SaeysChris Cornelis

A1 Journal Article in FUNDAMENTA INFORMATICAE

Distributed fuzzy rough prototype selection for big data regression

Sarah VluymansHasan AsfoorYvan SaeysChris CornelisMatthew TolentinoAnkur TeredesaiMartine De Cock

Evolutionary undersampling for imbalanced big data classification

Isaac TrigueroMikel GalarSarah VluymansChris CornelisHumberto BustinceFrancisco HerreraYvan Saeys

Fuzzy rough set prototype selection for regression

Sarah VluymansYvan SaeysChris CornelisAnkur TeredesaiMartine De Cock

IFROWANN : imbalanced fuzzy-rough ordered weighted average nearest neighbor classification

Enislay RamentolSarah VluymansNele VerbiestYailé CaballeroRafael BelloChris CornelisFrancisco Herrera

A1 Journal Article in IEEE TRANSACTIONS ON FUZZY SYSTEMS

Semi-supervised fuzzy-rough feature selection

Richard JensenSarah VluymansNeil Mac ParthaláinChris CornelisYvan Saeys

2014

Instance selection for imbalanced data

Sarah VluymansNele VerbiestChris CornelisYvan Saeys

Instance selection for imbalanced data