Author

Jacob M. Williams

University of Nebraska–LincolnORCID 0000-0002-9743-2103Unclaimed 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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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:electronic health records· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Ashok K. SamaliD· 2 shared Matthew R. JohnsoniD· 2 shared Karl M. KuntzelmaniD· 1 shared Phui Cheng LimiD· 1 shared Prahalada RaoiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersNeuroscience

Ashok K. SamalORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintFeb 9, 2023

Trial Averaging for Deep EEG Classification

Jacob M. Williams, Ashok K. Samal, Matthew R. Johnson

This study shows that trial averaging improves EEG classification performance, especially when applied to both training and testing data, outperforming Mixup in some cases.

1 citation

humanelectronic health records

𝕏 PostBluesky

NeuroscienceFrontiers in Human NeurosciencePeer-reviewedMar 1, 2021

Deep-Learning-Based Multivariate Pattern Analysis (dMVPA): A Tutorial and a Toolbox

Karl M. Kuntzelman, Jacob M. Williams, Phui Cheng Lim…·Matthew R. Johnson

This paper introduces deep learning for neuroimaging analysis (dMVPA) and provides a software toolbox called DeLINEATE to facilitate its application.

13 citations

imagingdeep learning

𝕏 PostBluesky