From metric to model: a five-stage pipeline for building and sustaining valid AI predictive systems in consumer neuroscience.

Ramsøy TZ

DOI: 10.3389/fnhum.2026.1837923
Published: 2026
Container: Frontiers in human neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnhum.2026.1837923,
  title = {From metric to model: a five-stage pipeline for building and sustaining valid AI predictive systems in consumer neuroscience.},
  author = {Ramsøy TZ},
  year = {2026},
  journal = {Frontiers in human neuroscience},
  doi = {10.3389/fnhum.2026.1837923},
  url = {https://doi.org/10.3389/fnhum.2026.1837923}
}

RIS

TY  - JOUR
TI  - From metric to model: a five-stage pipeline for building and sustaining valid AI predictive systems in consumer neuroscience.
AU  - Ramsøy TZ
PY  - 2026
JO  - Frontiers in human neuroscience
DO  - 10.3389/fnhum.2026.1837923
UR  - https://doi.org/10.3389/fnhum.2026.1837923
ER  -

APA

TZ, R. (2026). From metric to model: a five-stage pipeline for building and sustaining valid AI predictive systems in consumer neuroscience.. Frontiers in human neuroscience. https://doi.org/10.3389/fnhum.2026.1837923

Source records

pubmed · retrieved 2026-11-10T13:54:24.222Z