V
Verónica Bolón-Canedo
Researcher at University of A Coruña
Publications - 129
Citations - 4633
Verónica Bolón-Canedo is an academic researcher from University of A Coruña. The author has contributed to research in topics: Feature selection & Computer science. The author has an hindex of 27, co-authored 116 publications receiving 3260 citations. Previous affiliations of Verónica Bolón-Canedo include University of Manchester.
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A review of feature selection methods on synthetic data
TL;DR: Several synthetic datasets are employed for this purpose, aiming at reviewing the performance of feature selection methods in the presence of a crescent number or irrelevant features, noise in the data, redundancy and interaction between attributes, as well as a small ratio between number of samples and number of features.
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A review of microarray datasets and applied feature selection methods
Verónica Bolón-Canedo,Noelia Sánchez-Maroño,Amparo Alonso-Betanzos,José Manuel Benítez,Francisco Herrera,Francisco Herrera +5 more
TL;DR: An experimental evaluation on the most representative datasets using well-known feature selection methods is presented, bearing in mind that the aim is not to provide the best feature selection method, but to facilitate their comparative study by the research community.
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A review of feature selection methods in medical applications.
TL;DR: The most recent feature selection methods developed for and applied in medical problems are reviewed, covering prolific research fields such as medical imaging, biomedical signal processing, and DNA microarray data analysis.
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Ensembles for feature selection: A review and future trends
TL;DR: This work provides the reader with the basic concepts necessary to build an ensemble for feature selection, as well as reviewing the up-to-date advances and commenting on the future trends that are still to be faced.
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Recent advances and emerging challenges of feature selection in the context of big data
TL;DR: The origins and importance of feature selection are discussed and recent contributions in a range of applications are outlined, from DNA microarray analysis to face recognition.