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Author

Armin Haberl

Observed names: Haberl Armin, Haberl, Armin
Institution: University of Graz
ORCID: 0009-0000-5356-5126
Observed ORCID: 0009-0000-5356-5126
OpenAlex ID: A5031052556
Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers
2025 · Harald Semmelrock, Tony Ross‐Hellauer, et al. · AI Magazine · 90
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Take the aTrain. Introducing an interface for the Accessible Transcription of Interviews
2024 · Armin Haberl, Jürgen Fleiß, et al. · Journal of Behavioral and Experimental Finance · 44
Black Box or Open Science? Assessing Reproducibility-Related Documentation in AI Research
2024 · Florian Koenigstorfer, Armin Haberl, et al. · Hawaii International Conference on System Sciences (HICSS) · 7
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A Framework to Identify Data Governance Requirements in Open Data Ecosystems
2022 · Armin Haberl, Christine Dagmar Malin, et al. · Bled eConference · 4
Automated Machine Learning in Research – A Literature Review
2025 · Armin Haberl, Stefan Thalmann · Hawaii International Conference on System Sciences (HICSS) · 3
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Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews.
2023 · Armin Haberl, Jürgen Fleiß, et al. · SSRN Electronic Journal · 3
Automated Documentation for Reproducible Research: The Reproducible AI Documentation (RepAID) Tool
2026 · Armin Haberl, Stefan Thalmann · Lecture notes in computer science · 1
Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews
2023 · Haberl, Armin, Fleiß, Jürgen, et al. · arXiv (Cornell University) · 1
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Black Box or Open Science? A study on reproducibility in AI Development Papers
2023 · Königstorfer Florian, Haberl Armin, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
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Reproducible research by design: design principles for low-code/no-code AutoML tools
2026 · Armin Haberl, Stefan Thalmann · Frontiers in Research Metrics and Analytics
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aTrain - Accessible Transcription of Interviews
2026 · Haberl, Armin, Fleiß, Jürgen, et al. · Zenodo (CERN European Organization for Nuclear Research)
Reproducible AutoML: An Assessment of Research Reproducibility of No-Code AutoML Tools
2026 · Sabrina Pletzl, Armin Haberl, et al. · Lecture notes in information systems and organisation
Works count: 16
Citation count: 154
H-index: 4
I10-index: 2
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