Author

Astrid Sletten Rybner

Aarhus University

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

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Arndis SimonseniD· 1 shared Cathriona CantioiD· 1 shared Emil Trenckner Jessen· 1 shared Ethan WeediD· 1 shared Jens Richardt Møllegaard JepseniD· 1 shared Marie Damsgaard Mortensen· 1 shared Niels BilenbergiD· 1 shared Riccardo FusaroliiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Arndis SimonsenORCID

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1 paper

Recent·Most cited

BioinformaticsAutism ResearchPeer-reviewedApr 6, 2022

Vocal markers of autism: assessing the generalizability of machine learning models

Astrid Sletten Rybner, Emil Trenckner Jessen, Marie Damsgaard Mortensen…·Riccardo Fusaroli

This study evaluates how well machine learning models identify autism from speech across different contexts and languages, finding limited generalizability.

32 citations

proteomicsmachine learning (classical)

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