| Take the aTrain. Introducing an interface for the Accessible Transcription of Interviews A Haberl, J Fleiß, D Kowald, S Thalmann Journal of Behavioral and Experimental Finance 41, 100891, 2024 | 14 | 2024 |
| Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers H Semmelrock, T Ross-Hellauer, S Kopeinik, D Theiler, A Haberl, ... arXiv preprint arXiv:2406.14325, 2024 | 5 | 2024 |
| Black Box or Open Science? Assessing Reproducibility-Related Documentation in AI Research F Koenigstorfer, A Haberl, D Kowald, T Ross-Hellauer, S Thalmann | 2 | 2024 |
| Black box or open science? A study on reproducibility in AI development papers F Königstorfer, A Haberl, D Kowald, T Ross-Hellauer, S Thalmann Proceedings of The Hawaii International Conference on System Sciences, HICSS 24, 2024 | 2 | 2024 |
| Automated machine learning in research–a literature review A Haberl, S Thalmann | | 2025 |
| Using LLMs to Improve Reproducibility of Literature Reviews R Peinl, J Baernthaler, A Haberl, SR Chouguley, S Thalmann | | 2024 |
| Reproducible AutoML: An Assessment of Research Reproducibility of No-Code AutoML Tools S Pletzl, A Haberl, T Ross-Hellauer, S Thalmann | | 2024 |
| 4.5 Organizational design A Haberl, CD Malin, S Thalmann 35th Bled eConference Digital Restructuring and Human (Re) action, 369, 2022 | | 2022 |
| A Framework to Identify Data Governance Requirements in Open Data Ecosystems A Haberl, C Dagmar Malin, S Thalmann | | 2022 |
| Data governance in open data ecosystems: a case study of IDE@ S A Haberl | | |
