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pro vyhledávání: '"Ye, Wanghao"'
Autor:
Tian, Bowei, Wang, Ziyao, He, Shwai, Ye, Wanghao, Sun, Guoheng, Dai, Yucong, Wu, Yongkai, Li, Ang
The challenge of balancing fairness and predictive accuracy in machine learning models, especially when sensitive attributes such as race, gender, or age are considered, has motivated substantial research in recent years. Counterfactual fairness ensu
Externí odkaz:
http://arxiv.org/abs/2412.04767
Autor:
Tian, Bowei, He, Yexiao, Liu, Meng, Dai, Yucong, Wang, Ziyao, He, Shwai, Sun, Guoheng, Shen, Zheyu, Ye, Wanghao, Wu, Yongkai, Li, Ang
In medical image analysis, model predictions can be affected by sensitive attributes, such as race and gender, leading to fairness concerns and potential biases in diagnostic outcomes. To mitigate this, we present a causal modeling framework, which a
Externí odkaz:
http://arxiv.org/abs/2412.04739