Titlebook: Discovery Science; 23rd International C Annalisa Appice,Grigorios Tsoumakas,Stan Matwin Conference proceedings 2020 Springer Nature Switzer

外表讀作

Studienpionier:innen und Soziale Arbeitc processing, when applied to a real-world clinical ML decision algorithm which is known to discriminate with regards to racial characteristics. The results are promising, revealing that such techniques could significantly improve the fairness of clinical resource-allocation ML decision tools, parti

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Mila Zeien,Judith L?bbert,Anna Zeienation, 55% of otherwise manually retrieved labels can be generated by WS techniques with a negligible loss of test accuracy by 0.31% only. To further prove the general applicability of our approach we applied it to six datasets from the AL challenge from Guyon et al., where over 90% of the labels co

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