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Sign-consistency based variable importance for machine learning in brain imaging
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka, for the Alzheimer’s Disease Neuroimaging Initiative
doi: https://doi.org/10.1101/124453
Vanessa Gómez-Verdejo
aDepartment of Signal Processing and Communications, Universidad Carlos III de Madrid, Leganés, Spain
Emilio Parrado-Hernández
aDepartment of Signal Processing and Communications, Universidad Carlos III de Madrid, Leganés, Spain
Jussi Tohka
bUniversity of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio,Finland
cData, used in preparation of this article were obtained from the Alzheimers Disease Neuroimaging Initiative (ADNI) database (). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at
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Posted April 05, 2017.
Sign-consistency based variable importance for machine learning in brain imaging
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka, for the Alzheimer’s Disease Neuroimaging Initiative
bioRxiv 124453; doi: https://doi.org/10.1101/124453
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