Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Frances L. Koback"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract While deep learning (DL) offers the compelling ability to detect details beyond human vision, its black-box nature makes it prone to misinterpretation. A key problem is algorithmic shortcutting, where DL models inform their predictions with
Externí odkaz:
https://doaj.org/article/95c88509fc7d4baa99de27a51cf9119e
Autor:
Brittany A. Comunale, Robin J. Larson, Erin Jackson-Ward, Aditi Singh, Frances L. Koback, Lilly D. Engineer
Publikováno v:
Viruses, Vol 15, Iss 12, p 2316 (2023)
Background: As long as COVID-19 endures, viral surface proteins will keep changing and new viral strains will emerge, rendering prior vaccines and treatments decreasingly effective. To provide durable targets for preventive and therapeutic agents, th
Externí odkaz:
https://doaj.org/article/7c6239cca1e2477fbe880c4abd0c1045
Autor:
Comunale, Brittany A.1 (AUTHOR) bcomuna1@alumni.jh.edu, Larson, Robin J.2,3 (AUTHOR), Jackson-Ward, Erin1,4 (AUTHOR), Singh, Aditi5 (AUTHOR), Koback, Frances L.2 (AUTHOR), Engineer, Lilly D.1,6 (AUTHOR)
Publikováno v:
Viruses (1999-4915). Dec2023, Vol. 15 Issue 12, p2316. 24p.
Publikováno v:
Medical Imaging Week; 12/19/2024, p80-80, 1p