Author

Yaqub Jonmohamadi

Queensland University of TechnologyORCID 0000-0002-2912-0554Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:dimensionality reduction· 2 Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:matrix factorization· 1

Frequent Co-Authors

Suresh D MuthukumaraswamyiD· 2 shared Ajay Kumar PandeyiD· 1 shared Jonathan M. RobertsiD· 1 shared Joseph C. C. CheniD· 1 shared Ross CrawfordiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Suresh D MuthukumaraswamyORCID

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2 papers

Recent·Most cited

BioinformaticsBrain TopographyPeer-reviewedJul 29, 2020

Extraction of common task features in EEG-fMRI data using coupled tensor-tensor decomposition

Yaqub Jonmohamadi, Suresh D Muthukumaraswamy, Joseph C. C. Chen…·Ajay Kumar Pandey

The paper introduces coupled tensor-tensor decomposition for EEG-fMRI data fusion to extract task-related features, showing high correlation with memory task components.

27 citations

electronic health recordsmatrix factorization

NeuroscienceBiomedical Physics & Engineering ExpressPeer-reviewedFeb 20, 2018

Multi-band component analysis for EEG artifact removal and source reconstruction with application to gamma-band activity

Yaqub Jonmohamadi, Suresh D Muthukumaraswamy

This paper introduces multi-band ICA to improve EEG artifact removal and source reconstruction by increasing component count and SNR, outperforming traditional wide-band ICA.

5 citations

electronic health recordsstatistical model