Class imbalance should not throw you off balance: Choosing the right classifiers and performance met...
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data
About this item
Full title
Author / Creator
Thölke, Philipp , Mantilla-Ramos, Yorguin-Jose , Abdelhedi, Hamza , Maschke, Charlotte , Dehgan, Arthur , Harel, Yann , Kemtur, Anirudha , Mekki Berrada, Loubna , Sahraoui, Myriam , Young, Tammy , Bellemare Pépin, Antoine , El Khantour, Clara , Landry, Mathieu , Pascarella, Annalisa , Hadid, Vanessa , Combrisson, Etienne , O’Byrne, Jordan and Jerbi, Karim
Publisher
United States: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
United States: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
•Class imbalance is common issue in the application of machine learning (ML) to neuroscience and can have severe consequences if not handled properly.•The impact of increasing data imbalance on ML performance is assessed for various levels of imbalance using simulated data, as well as EEG, MEG and fMRI recordings.•In highly imbalanced data, the com...
Alternative Titles
Full title
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data
Authors, Artists and Contributors
Author / Creator
Mantilla-Ramos, Yorguin-Jose
Abdelhedi, Hamza
Maschke, Charlotte
Dehgan, Arthur
Harel, Yann
Kemtur, Anirudha
Mekki Berrada, Loubna
Sahraoui, Myriam
Young, Tammy
Bellemare Pépin, Antoine
El Khantour, Clara
Landry, Mathieu
Pascarella, Annalisa
Hadid, Vanessa
Combrisson, Etienne
O’Byrne, Jordan
Jerbi, Karim
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_5a4ec21c2d304490b2ba04066277b185
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5a4ec21c2d304490b2ba04066277b185
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2023.120253
