Author

Maki Rooksby

University of GlasgowORCID 0000-0001-7763-9556Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Developmental Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alessandro VinciarelliiD· 1 shared Dong-Bach VoiD· 1 shared Helen MinnisiD· 1 shared Mohammad Tayarani· 1 shared Rui HuaniD· 1 shared Simona Di FolcoiD· 1 shared Stephen Anthony BrewsteriD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperDevelopmental Biology

Alessandro VinciarelliORCID

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1 paper

Recent·Most cited

Developmental BiologyPLoS ONEPeer-reviewedJul 22, 2021

The School Attachment Monitor - a novel computational tool for assessment of attachment in middle childhood.

Maki Rooksby, Simona Di Folco, Mohammad Tayarani…·Helen Minnis

The paper develops and validates the School Attachment Monitor (SAM), a tool for assessing attachment in children aged 5-9, showing good reliability compared to a gold-standard measure.

5 citations

machine learning (classical)benchmarking

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