Články s príkazom na verejný prístup - Hugh ChenĎalšie informácie
Dostupné niekde: 8
From local explanations to global understanding with explainable AI for trees
SM Lundberg, G Erion, H Chen, A DeGrave, JM Prutkin, B Nair, R Katz, ...
Nature machine intelligence 2 (1), 56-67, 2020
Príkazy: US National Science Foundation, US National Institutes of Health
Explaining models by propagating Shapley values of local components
H Chen, S Lundberg, SI Lee
Explainable AI in Healthcare and Medicine: Building a Culture of …, 2021
Príkazy: US National Science Foundation, US National Institutes of Health, Cancer …
Algorithms to estimate Shapley value feature attributions
H Chen, IC Covert, SM Lundberg, SI Lee
Nature Machine Intelligence 5 (6), 590-601, 2023
Príkazy: US National Science Foundation, US National Institutes of Health
Interpretable machine learning prediction of all-cause mortality
W Qiu, H Chen, AB Dincer, S Lundberg, M Kaeberlein, SI Lee
Communications medicine 2 (1), 125, 2022
Príkazy: US National Science Foundation, US National Institutes of Health, UK Medical …
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals
H Chen, SM Lundberg, G Erion, JH Kim, SI Lee
NPJ digital medicine 4 (1), 167, 2021
Príkazy: US National Science Foundation, US Department of Energy, US National …
Uncovering expression signatures of synergistic drug responses via ensembles of explainable machine-learning models
JD Janizek, AB Dincer, S Celik, H Chen, W Chen, K Naxerova, SI Lee
Nature biomedical engineering 7 (6), 811-829, 2023
Príkazy: US National Science Foundation, US National Institutes of Health
ExplaiNAble BioLogical Age (ENABL Age): an artificial intelligence framework for interpretable biological age
W Qiu, H Chen, M Kaeberlein, SI Lee
The Lancet Healthy Longevity 4 (12), e711-e723, 2023
Príkazy: US National Science Foundation, US National Institutes of Health
An explainable AI framework for interpretable biological age
W Qiu, H Chen, M Kaeberlein, SI Lee
medRxiv, 2022.10. 05.22280735, 2022
Príkazy: US National Science Foundation, US National Institutes of Health
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