A framework for rigorous evaluation of human performance in human and machine learning comparison studies

Rigorous comparisons of human and machine learning algorithm performance on the same task help to support accurate claims about algorithm success rates and advances understanding of their performance relative to that of human performers. In turn, these comparisons are critical for supporting advance...

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Detalles Bibliográficos
Autores principales: Cowley, Hannah P., Natter, Mandy, Gray-Roncal, Karla, Rhodes, Rebecca E., Johnson, Erik C., Drenkow, Nathan, Shead, Timothy M., Chance, Frances S., Wester, Brock, Gray-Roncal, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971503/
https://www.ncbi.nlm.nih.gov/pubmed/35361786
http://dx.doi.org/10.1038/s41598-022-08078-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971503/
https://www.ncbi.nlm.nih.gov/pubmed/35361786
http://dx.doi.org/10.1038/s41598-022-08078-3

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