Author

Ruth B. Grossman

Emerson College

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· 2

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 Jens Richardt Møllegaard JepseniD· 2 shared Niels BilenbergiD· 2 shared Riccardo FusaroliiD· 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

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

Astrid Sletten Rybner, Emil Trenckner Jessen, Marie Damsgaard Mortensen, Stine Nyhus Larsen, Ruth B. Grossman, Niels Bilenberg, Cathriona Cantio, Jens Richardt Møllegaard Jepsen, Ethan Weed, Arndis Simonsen, Riccardo Fusaroli

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

Autism Research · Apr 6, 2022Peer-reviewedBioinformatics

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, Cathriona Cantio, Jens Richardt Møllegaard Jepsen, 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.

Autism Research · Dec 26, 2021Peer-reviewedBioinformatics