Author

Mulugeta Gebregziabher

Medical University of South CarolinaORCID 0000-0002-4826-481XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Kenneth I. VadeniD· 1 shared Mark A. EckertiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Kenneth I. VadenORCID

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1 paper

Recent·Most cited

NeuroscienceFrontiers in PsychologyPeer-reviewedMay 8, 2018

Reading Profiles in Multi-site Data with Missingness

Mark A. Eckert, Kenneth I. Vaden, Mulugeta Gebregziabher

The paper shows that reading disability profiles can be reliably identified from incomplete behavioral data using Random Forest classification after multiple imputation with missForest.

7 citations

machine learning (classical)clustering

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