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Pietro G. Di Stefano

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Conference and Workshop Papers

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2020
[c1]
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  - conf/pkdd/HickeySV20
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  - https://dblp.org/rec/conf/pkdd/HickeySV20
James M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou:
Fairness by Explicability and Adversarial SHAP Learning. ECML/PKDD (3) 2020: 174-190

Informal and Other Publications

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2020
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  - journals/corr/abs-2002-10774
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Pietro G. Di Stefano, James M. Hickey, Vlasios Vasileiou:
Counterfactual fairness: removing direct effects through regularization. CoRR abs/2002.10774 (2020)
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James M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou:
Fairness by Explicability and Adversarial SHAP Learning. CoRR abs/2003.05330 (2020)
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  - journals/corr/abs-2010-03986
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Gareth P. Jones, James M. Hickey, Pietro G. Di Stefano, Charanpal Dhanjal, Laura C. Stoddart, Vlasios Vasileiou:
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms. CoRR abs/2010.03986 (2020)

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