Reproducible research by design: design principles for low-code/no-code AutoML tools

Armin Haberl, Stefan Thalmann

Open source

DOI: 10.3389/frma.2026.1967319
Published: 2026-10-16
Container: Frontiers in Research Metrics and Analytics
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frma.2026.1967319,
  title = {Reproducible research by design: design principles for low-code/no-code AutoML tools},
  author = {Armin Haberl and Stefan Thalmann},
  year = {2026},
  journal = {Frontiers in Research Metrics and Analytics},
  doi = {10.3389/frma.2026.1967319},
  url = {https://doi.org/10.3389/frma.2026.1967319}
}

RIS

TY  - JOUR
TI  - Reproducible research by design: design principles for low-code/no-code AutoML tools
AU  - Armin Haberl
AU  - Stefan Thalmann
PY  - 2026
JO  - Frontiers in Research Metrics and Analytics
DO  - 10.3389/frma.2026.1967319
UR  - https://doi.org/10.3389/frma.2026.1967319
ER  -

APA

Haberl, A., & Thalmann, S. (2026). Reproducible research by design: design principles for low-code/no-code AutoML tools. Frontiers in Research Metrics and Analytics. https://doi.org/10.3389/frma.2026.1967319

Source records

crossref · retrieved 2026-11-11T01:04:09.873Z