Author

Loubna Mekki Berrada

Université de Montréal

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

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Anirudha Kemtur· 1 shared Annalisa PascarellaiD· 1 shared Antoine Bellemare Pépin· 1 shared Arthur DehganiD· 1 shared Charlotte MaschkeiD· 1 shared Clara El KhantouriD· 1 shared Etienne CombrissoniD· 1 shared Hamza AbdelhediiD· 1 shared

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2023-2023 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Anirudha Kemtur

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1 paper

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedJun 27, 2023

Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data

Philipp Thölke, Yorguin-José Mantilla-Ramos, Hamza Abdelhedi…·Karim Jerbi

This paper evaluates the impact of class imbalance on ML performance in neuroscience, showing that Accuracy is misleading and recommending Balanced Accuracy and Random Forest with stratified cross-validation.

233 citationstop 1%

electronic health recordsstatistical model

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