A survey of Identification and mitigation of Machine Learning
algorithmic biases in Image Analysis

A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis

10 October 2022

Jean-Michel Loubes

Papers citing "A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis"

11 / 11 papers shown

Title
Debiasing Machine Learning Models by Using Weakly Supervised Learning Renan D. B. Brotto Jean-Michel Loubes Laurent Risser J. Florens K. Filho João Marcos Travassos Romano 19 0 0 23 Feb 2024
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 29 10 0 08 Dec 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 27 25 0 10 May 2023
Racial Bias in the Beautyverse Piera Riccio Nuria Oliver 11 1 0 28 Sep 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aivodji Stephen H. Bach Himabindu Lakkaraju 35 55 0 15 May 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 109 57 0 07 Nov 2021
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification P. Bevan Amir Atapour-Abarghouei MU 37 18 0 20 Sep 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 57 47 0 06 Aug 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 225 485 0 31 Dec 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 368 0 09 May 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016