Author

Hubert J. Banville

Institut national de recherche en sciences et technologies du numériqueORCID 0000-0002-3362-0244Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Alexandre GramfortiD· 2 shared Denis Alexander EngemanniD· 2 shared Apolline MellotiD· 1 shared Chris Aimone· 1 shared David SabbaghiD· 1 shared Lukas A. W. GemeiniD· 1 shared Maurice Abou JaoudeiD· 1 shared Richard HöchenbergeriD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersNeuroscience

Alexandre GramfortORCID

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2 papers

Recent·Most cited

NeuroscienceImaging NeurosciencePeer-reviewedJan 1, 2024

Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEG

Hubert J. Banville, Maurice Abou Jaoude, Sean U. N. Wood…·Denis Alexander Engemann

This study predicts age from at-home EEG data during sleep and meditation, achieving R2 scores of 0.3-0.5, comparable to lab-grade EEG benchmarks.

12 citations

humanelectronic health records

NeuroscienceNeuroImagePeer-reviewedJul 26, 2022

A reusable benchmark of brain-age prediction from M/EEG resting-state signals

Denis Alexander Engemann, Apolline Mellot, Richard Höchenberger…·Alexandre Gramfort

This paper benchmarks machine learning approaches for brain age prediction using M/EEG signals across four international cohorts, finding that spatially aware models achieve the highest performance.

79 citationstop 1%

humanelectronic health records