Author

Myriam Sahraoui

Université de MontréalORCID 0000-0002-3117-9192Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Karim JerbiiD· 2 shared Vanessa HadidiD· 2 shared Anirudha Kemtur· 1 shared Annalisa PascarellaiD· 1 shared Antoine Bellemare Pépin· 1 shared Arthur DehganiD· 1 shared Bruno GauthieriD· 1 shared Charlotte MaschkeiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersNeuroscience

Karim JerbiORCID

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2 papers

Recent·Most cited

Identifying Executive Function Profiles in Children's Design Fluency: A Clustering Study

Myriam Sahraoui, Vanessa Hadid, Karim Jerbi, Bruno Gauthier

This study uses clustering to identify executive function profiles in children's design fluency tasks, finding that overall task measures better distinguish profiles than minute-by-minute data.

bioRxiv · Aug 19, 2025 · PreprintNeuroscience

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, Charlotte Maschke, Arthur Dehgan, Yann Harel, Anirudha Kemtur, Loubna Mekki Berrada, Myriam Sahraoui, Tammy Young, Antoine Bellemare Pépin, Clara El Khantour, Mathieu Landry, Annalisa Pascarella, Vanessa Hadid, , 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.

NeuroImage · Jun 27, 2023Peer-reviewedNeuroscience