FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency

11 September 2019

Papers citing "FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency"

6 / 6 papers shown

Title
Identification, explanation and clinical evaluation of hospital patient subtypes Enrico Werner J. N. Clark R. Bhamber M. Ambler Christopher P Bourdeaux Alexander Hepburn C. McWilliams Raúl Santos-Rodríguez 14 3 0 19 Jan 2023
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components Kacper Sokol Alexander Hepburn Raúl Santos-Rodríguez Peter A. Flach 39 8 0 08 Sep 2022
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems Kacper Sokol Alexander Hepburn Rafael Poyiadzi M. Clifford Raúl Santos-Rodríguez Peter A. Flach 35 29 0 08 Sep 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 21 27 0 11 May 2022
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 18 112 0 02 Jun 2021
Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks L. Fisch J. Ernsting N. Winter V. Holstein Ramona Leenings ... T. Kircher Benjamin Risse U. Dannlowski Klaus Berger Tim Hahn MedIm 35 12 0 22 Mar 2021