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Fairness

ResponsibleML
ResponsibleML
Tools for Explainable, Fair and Responsible ML.
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  • Fairness
Go to the profile of Hubert Ruczynski
Hubert Ruczynski in ResponsibleML
Oct 7, 2021

FairPAN — bringing fairness to neural networks

Achieving fairness throughout adaptation of GANs

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Go to the profile of Anna Kozak
Anna Kozak in ResponsibleML
Jun 23, 2021

MI2 talks at useR! 2021

The useR! 2021 Conference is starting soon, on July 5. This year MI2DataLab will showcase our recent R packages and…

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Go to the profile of Przemyslaw Biecek
Przemyslaw Biecek in ResponsibleML
May 18, 2021

Call for papers: ECML PKDD International Workshop and Tutorial on eXplainable Knowledge Discovery in Data Mining

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Go to the profile of Jakub Wiśniewski
Jakub Wiśniewski in ResponsibleML
Apr 30, 2021

What? Fairness in regression?

Bringing fairness to regression problems

Why it was a problem?

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Go to the profile of Jakub Wiśniewski
Jakub Wiśniewski in ResponsibleML
Jan 12, 2021

Visualizing ML model bias with dalex

Using python packages dalex and fairtorch

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Go to the profile of Jakub Wiśniewski
Jakub Wiśniewski in ResponsibleML
Oct 28, 2020

How to easily check if your ML model is fair?

Using a newly developed fairness module in dalex python…

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Go to the profile of Piotr Piątyszek
Piotr Piątyszek in ResponsibleML
Oct 7, 2020

What will happen if I change this a little— introducing ArenaR 0.2.0

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Go to the profile of Jakub Wiśniewski
Jakub Wiśniewski in ResponsibleML
Sep 22, 2020

What is new in fairmodels?

Version 0.2.2 is out and it has big changes!

TL;DR

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