fairmodels: A Flexible Tool For Bias Detection, Visualization, And
Mitigation

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fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation

1 April 2021

Jakub Wi'sniewski

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Papers citing "fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation"

7 / 7 papers shown

Title
seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness Yilin Ning Yian Ma Mingxuan Liu Xin Li Nan Liu 64 0 0 11 Apr 2025
dsld: A Socially Relevant Tool for Teaching Statistics Taha Abdullah Arjun Ashok Brandon Estrada Norman Matloff Aditya Mittal Norman Matloff Aditya Mittal 80 0 0 06 Nov 2024
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions Ludwig Bothmann Susanne Dandl M. Schomaker FaML 63 3 0 24 Jul 2023
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis E. A. L. Neto J. Bailiss Axel Finke J. Miller Georgina Cosma 46 0 0 13 Jul 2023
fairml: A Statistician's Take on Fair Machine Learning Modelling M. Scutari FaML 99 5 0 03 May 2023
fairadapt: Causal Reasoning for Fair Data Pre-processing Drago Plečko Nicolas Bennett N. Meinshausen FaML 37 11 0 19 Oct 2021
Landscape of R packages for eXplainable Artificial Intelligence Szymon Maksymiuk Alicja Gosiewska P. Biecek XAI 96 22 0 24 Sep 2020

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