Author

Jurgen Tijms

ORCID 0000-0002-9080-8569Unclaimed 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:cell type annotation· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Gojko Žarić· 1 shared Gorka Fraga GonzáleziD· 1 shared Marzieh ZareiD· 1 shared Maurits W. van der Molen· 1 shared Milene L. BonteiD· 1 shared Zahra RezvaniiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Gojko Žarić

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1 paper

Recent·Most cited

Machine learning Classification of Dyslexic Children based on EEG Local Network Features

Zahra Rezvani, Marzieh Zare, Gojko Žarić, Milene L. Bonte, Jurgen Tijms, Maurits W. van der Molen, Gorka Fraga González

Local graph measures from resting-state EEG separated dyslexic from typically reading grade-3 children with 95% accuracy using a polynomial-kernel support vector machine.

bioRxiv · Mar 13, 2019 · PreprintNeuroscience