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researcher

Martin Steinebach

2 papers hereh-index 445 citations31 works total

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

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.SD1

identity via Semantic Scholar / OpenAlex

most citedUnveiling the Potential of BERTopic for Multilingual Fake News Analysis -- Use Case: Covid-19

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SD2026

Component-Level Ensemble Fusion for Speech and Environmental Sound Deepfake Detection

André Runewicz, Karla Schäfer, Martin Steinebach

This paper describes our submission to the ICME 2026 ESDD2 challenge on environment-aware speech and sound deepfake detection. The task requires five-class classification of audio…

cs.LG2024★ 1 cited

Unveiling the Potential of BERTopic for Multilingual Fake News Analysis -- Use Case: Covid-19

Karla Schäfer, Jeong-Eun Choi, Inna Vogel +1

Topic modeling is frequently being used for analysing large text corpora such as news articles or social media data. BERTopic, consisting of sentence embedding, dimension reduction…

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