Author

Jorge Alberto

University of FloridaORCID 0009-0006-2794-9576Unclaimed 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:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

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Benjamin NorbomiD· 1 shared Erin E. PatrickiD· 1 shared Joshua WongiD· 1 shared Justin E. GolabekiD· 1 shared Matthew A. SchieferiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Benjamin NorbomORCID

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1 paper

Recent·Most cited

NeuroscienceDeep Brain StimulationPeer-reviewedSep 7, 2026

Comparison of Machine Learning Surrogate Models for Prediction of Single-Fiber Activation in Deep Brain Stimulation

Jorge Alberto, Benjamin Norbom, Justin E. Golabek…·Erin E. Patrick

This study compares machine learning models for predicting single-fiber activation in DBS across various electrode configurations, finding that CNNs outperform XGBoost in complex fields.

DOI 10.1016/j.jdbs.2026.08.003

electronic health recordsmachine learning (classical)

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