A metrological framework for uncertainty evaluation in machine learning classification models

Samuel Bilson, Maurice Cox, Anna Pustogvar, Andrew Thompson

Open source

DOI: 10.1088/1681-7575/ae1bae
Published: 2025-12-01
Container: Metrologia
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1681-7575/ae1bae,
  title = {A metrological framework for uncertainty evaluation in machine learning classification models},
  author = {Samuel Bilson and Maurice Cox and Anna Pustogvar and Andrew Thompson},
  year = {2025},
  journal = {Metrologia},
  doi = {10.1088/1681-7575/ae1bae},
  url = {https://doi.org/10.1088/1681-7575/ae1bae}
}

RIS

TY  - JOUR
TI  - A metrological framework for uncertainty evaluation in machine learning classification models
AU  - Samuel Bilson
AU  - Maurice Cox
AU  - Anna Pustogvar
AU  - Andrew Thompson
PY  - 2025
JO  - Metrologia
DO  - 10.1088/1681-7575/ae1bae
UR  - https://doi.org/10.1088/1681-7575/ae1bae
ER  -

APA

Bilson, S., Cox, M., Pustogvar, A., & Thompson, A. (2025). A metrological framework for uncertainty evaluation in machine learning classification models. Metrologia. https://doi.org/10.1088/1681-7575/ae1bae

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crossref · retrieved 2026-09-25T22:16:57.163Z