Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables.

Eberle O, Büttner J, El-Hajj H, Montavon G, Müller KR, Valleriani M

DOI: 10.1126/sciadv.adj1719
Published: 2024 Oct 25
Container: Science advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1126/sciadv.adj1719,
  title = {Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables.},
  author = {Eberle O and Büttner J and El-Hajj H and Montavon G and Müller KR and Valleriani M},
  year = {2024},
  journal = {Science advances},
  doi = {10.1126/sciadv.adj1719},
  url = {https://doi.org/10.1126/sciadv.adj1719}
}

RIS

TY  - JOUR
TI  - Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables.
AU  - Eberle O
AU  - Büttner J
AU  - El-Hajj H
AU  - Montavon G
AU  - Müller KR
AU  - Valleriani M
PY  - 2024
JO  - Science advances
DO  - 10.1126/sciadv.adj1719
UR  - https://doi.org/10.1126/sciadv.adj1719
ER  -

APA

O, E., J, B., H, E., G, M., KR, M., & M, V. (2024). Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables.. Science advances. https://doi.org/10.1126/sciadv.adj1719

Source records

pubmed · retrieved 2026-09-26T08:52:04.439Z