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researcher

Björn W. Schuller

4 papers hereh-index 13727 citations44 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.AS2
  • cs.LG1
  • cs.SD1
same name
  • Björn W. Schuller — 21 papers, h 20
  • Björn W. Schuller — 14 papers, h 4
  • Björn W. Schuller — 13 papers, h 3
  • Björn W. Schuller — 10 papers, h 3
  • Björn W. Schuller — 7 papers
  • Björn W. Schuller — 6 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedExplainable Artificial Intelligence for Medical Applications: A Review

5 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

eess.AS2026

Affect Decoding in Phonated and Silent Speech Production from Surface EMG

Simon Pistrosch, Kleanthis Avramidis, Zhao Ren +7

The expression of affect is integral to spoken communication, yet, its link to underlying articulatory execution remains unclear. Measures of articulatory muscle activity such as E…

cs.LG2024★ 5 cited

Explainable Artificial Intelligence for Medical Applications: A Review

Qiyang Sun, Alican Akman, Björn W. Schuller

The continuous development of artificial intelligence (AI) theory has propelled this field to unprecedented heights, owing to the relentless efforts of scholars and researchers. In…

eess.AS2023★ 1 cited

Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models

Anna Derington, Hagen Wierstorf, Ali Özkil +3

Machine learning models for speech emotion recognition (SER) can be trained for different tasks and are usually evaluated based on a few available datasets per task. Tasks could in…

cs.SD2022★ 4 cited

A large-scale and PCR-referenced vocal audio dataset for COVID-19

Jobie Budd, Kieran Baker, Emma Karoune +23

The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory sympt…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.