Fairness-Aware Machine Learning-Reference-Cited by-同舟云学术

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Fairness-Aware Machine Learning

Published:2019-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Bird Sarah¹,Hutchinson Ben²,Kenthapadi Krishnaram³,Kiciman Emre⁴,Mitchell Margaret⁵

Affiliation:

1. Microsoft, New York, NY, USA

2. Google, San Francisco, CA, USA

3. LinkedIn, Sunnyvale, CA, USA

4. Microsoft, Redmond, WA, USA

5. Google, Kirkland, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3332280

Reference20 articles.

1. Algorithmic Decision Making and the Cost of Fairness

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Achieving Equalized Explainability Through Data Reconstruction;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness?;Computer;2023-04

3. Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition;Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining;2021-08-14

4. Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development;2021 IEEE 37th International Conference on Data Engineering (ICDE);2021-04

5. Advances in Bias-aware Recommendation on the Web;Proceedings of the 14th ACM International Conference on Web Search and Data Mining;2021-03-08

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