Author

Jens Richardt Møllegaard Jepsen

Mental Health ServicesORCID 0000-0002-5849-5996Unclaimed 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· 2 Assay:proteomics· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Cathriona CantioiD· 2 shared Ethan WeediD· 2 shared Niels BilenbergiD· 2 shared Riccardo FusaroliiD· 2 shared Ruth B. Grossman· 2 shared Arndis SimonseniD· 1 shared Astrid Sletten Rybner· 1 shared Emil Trenckner Jessen· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Cathriona CantioORCID

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2 papers

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)

𝕏 PostBluesky

BioinformaticsAutism ResearchPeer-reviewedDec 26, 2021

Towards a cumulative science of vocal markers of autism: a cross-linguistic meta-analysis-based investigation of acoustic markers in American and Danish autistic children

Riccardo Fusaroli, Ruth B. Grossman, Niels Bilenberg…·Ethan Weed

The paper conducts a cross-linguistic meta-analysis of acoustic markers in autistic children, identifying reliable but small acoustic differences and highlighting the need for more diverse datasets.

53 citations

humanproteomics

𝕏 PostBluesky