Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy

Aim: In neuroscience research, data are quite often characterized by an imbalanced distribution between the majority and minority classes, an issue that can limit or even worsen the prediction performance of machine learning methods. Different resampling procedures have been developed to face this p...

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Detalles Bibliográficos
Autores principales: Varotto, Giulia, Susi, Gianluca, Tassi, Laura, Gozzo, Francesca, Franceschetti, Silvana, Panzica, Ferruccio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641296/
https://www.ncbi.nlm.nih.gov/pubmed/34867255
http://dx.doi.org/10.3389/fninf.2021.715421

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641296/
https://www.ncbi.nlm.nih.gov/pubmed/34867255
http://dx.doi.org/10.3389/fninf.2021.715421

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