Discrimination prevention is tackled by changing the decision value for tuples labeled as discriminated before training a classifier. The approach of this paper ...
Another study [5] investigates three approaches for preventing discriminatory predictions in a. Naıve Bayes classifier. Discrimination is measured as the.
ABSTRACT. With the support of the legally-grounded methodology of situation testing, we tackle the problems of discrimination discovery and prevention from ...
This paper tackles the problems of discrimination discovery and prevention from a dataset of historical decisions by adopting a variant of k-NN ...
Discrimination prevention is tackled by changing the decision value for tuples labeled as discriminated before training a classifier. The approach of this paper ...
Discrimination prevention is tackled by changing the decision value for tuples labeled as discriminated before training a classi fier. The approach of this ...
Dec 2, 2023 · Discrimination prevention is tackled by changing the decision value for tuples labeled as discriminated before training a classifier. The ...
Apr 25, 2024 · Binh Luong Thanh, Salvatore Ruggieri, Franco Turini: k-NN as an implementation of situation testing for discrimination discovery and ...
tion prevention, which aims to build non-discriminatory pre- dictive models ... tion testing for discrimination discovery and prevention. In.
Example discrimination rules found using DiscoveryN. 37. Page 38. k-NN for discrimination prevention. ○ Goals of non-discriminating classifier: ○ Maximize ...
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