Author

Mark White

Swansea UniversityORCID 0000-0001-5404-9289Unclaimed ORCID profile · follow to get notified of new preprints

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Mark White4 papers · Cancer Research UK Scotland Institute

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Bioinformatics· 1

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

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Huw D. SummersiD· 1 shared Jonathon NevilleiD· 1 shared Neil Edward BezodisiD· 1 shared Paul C. T. ReesiD· 1 shared

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2022-2022 · peak 1/yr

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1 shared paperBioinformatics

Huw D. SummersORCID

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1 paper

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedFeb 10, 2022

Determining jumping performance from a single body-worn accelerometer using machine learning

Mark White, Neil Edward Bezodis, Jonathon Neville…·Paul C. T. Rees

This paper develops a machine learning model using body-worn accelerometer data to estimate jump peak power, achieving lower error than previous methods but still not sufficient for field use.

14 citations

machine learning (classical)benchmarking

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