Author

Ferid Ben Ali

University of HertfordshireORCID 0009-0008-9666-7251Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Arvind Tolambiya· 1 shared Elizabeth ThomasiD· 1 shared Florian ChambellantiD· 1 shared Jérémie GaveauiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Arvind Tolambiya

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1 paper

Recent·Most cited

NeuroscienceFrontiers in Big DataPeer-reviewedJul 20, 2023

Too Much Information Is No Information: How Machine Learning and Feature Selection Could Help in Understanding the Motor Control of Pointing

Elizabeth Thomas, Ferid Ben Ali, Arvind Tolambiya…·Jérémie Gaveau

This study uses machine learning and feature selection to analyze high-dimensional EMG data and identify muscle activity patterns associated with different pointing angles.

4 citations

humanelectronic health records