Author

Michelle Low

Johns Hopkins University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 1

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

Frequent Co-Authors

Aaron J. GorelikiD· 1 shared Akua F. NimarkoiD· 1 shared Ananya Nrusimha· 1 shared Kathryn K. RidoutiD· 1 shared Manpreet Kaur SinghiD· 1 shared Mark G. GorelikiD· 1 shared Shamanth R. KuramkoteiD· 1 shared Simirthi Singh· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Aaron J. GorelikORCID

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1 paper

Recent·Most cited

Applying Machine Learning to Increase Efficiency and Accuracy of Meta-Analytic Review

Aaron J. Gorelik, Mark G. Gorelik, Kathryn K. Ridout, Akua F. Nimarko, Virginia D. Peisch, Shamanth R. Kuramkote, Michelle Low, Tracy Pan, Simirthi Singh, Ananya Nrusimha, Manpreet Kaur Singh

This paper develops a machine learning approach to automate paper selection for meta-analyses, showing it reduces review time while maintaining accuracy comparable to human reviewers.

bioRxiv · Oct 6, 2020 · PreprintNeuroscience