Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Young, Albert T."'
Interpretability methods for image classification assess model trustworthiness by attempting to expose whether the model is systematically biased or attending to the same cues as a human would. Saliency methods for feature attribution dominate the in
Externí odkaz:
http://arxiv.org/abs/2104.02768
In high-stakes applications of machine learning models, interpretability methods provide guarantees that models are right for the right reasons. In medical imaging, saliency maps have become the standard tool for determining whether a neural model ha
Externí odkaz:
http://arxiv.org/abs/1910.07604
Publikováno v:
In Surgery in Practice and Science March 2022 8
Publikováno v:
In The Lancet Digital Health September 2021 3(9):e599-e611
Publikováno v:
In Journal of Investigative Dermatology August 2020 140(8):1504-1512
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In JAAD International June 2024 15:33-35
Publikováno v:
Clinical & Experimental Dermatology; Aug2024, Vol. 49 Issue 8, p910-912, 3p
Infliximab shows superior drug survival among biologics for hidradenitis suppurativa: A cohort study
Autor:
Young, Albert T., Lu, Kathy, Dai, Andrea, Hamzavi, Iltefat, Huggins, Richard H., Adrianto, Indra, Zhou, Li, Mi, Qing-Sheng
Publikováno v:
In Journal of the American Academy of Dermatology
Autor:
Young, Albert T.1,2 (AUTHOR), Vora, Niki B.2 (AUTHOR), Cortez, Jose2 (AUTHOR), Tam, Andrew2 (AUTHOR), Yeniay, Yildiray1 (AUTHOR), Afifi, Ladi1 (AUTHOR), Yan, Di1 (AUTHOR), Nosrati, Adi1,2 (AUTHOR), Wong, Andrew2 (AUTHOR), Johal, Arjun1,2 (AUTHOR), Wei, Maria L.1,2 (AUTHOR)
Publikováno v:
Pigment Cell & Melanoma Research. Mar2021, Vol. 34 Issue 2, p288-300. 13p.