Author

Arndis Simonsen

Aarhus UniversityORCID 0000-0002-5044-9936Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Approach:Bayesian inference· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Riccardo FusaroliiD· 2 shared Alberto ParolaiD· 1 shared Astrid Sletten Rybner· 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

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Riccardo FusaroliORCID

Mutual co-authors in cluster

Author profile →

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

Voice Patterns in Schizophrenia: A Systematic Review and Bayesian Meta-Analysis

Alberto Parola, Arndis Simonsen, Vibeke Bliksted, Riccardo Fusaroli

This paper conducts a systematic review and Bayesian meta-analysis of voice atypicalities in schizophrenia, identifying weak to moderate acoustic differences linked to negative symptoms and social impairments.

Schizophrenia Research · Dec 13, 2019Peer-reviewedBioinformatics