Algorithmic Factors Influencing Bias in Machine Learning

28 April 2021

Papers citing "Algorithmic Factors Influencing Bias in Machine Learning"

10 / 10 papers shown

Title
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors Xueying Ding Rui Xi Leman Akoglu FaML 25 0 0 24 Aug 2024
Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review Alexandra Kapp J. Hansmeyer Helena Mihaljević 57 15 0 12 Jul 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 54 1 0 12 Apr 2024
PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data Zheng Zhang Zheng Ning Chenliang Xu Yapeng Tian Toby Jia-Jun Li 64 6 0 27 Jul 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 35 13 0 18 Jan 2023
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions José P. Pombal André F. Cruz Joao Bravo Pedro Saleiro Mário A. T. Figueiredo P. Bizarro FaML 23 8 0 13 Jul 2022
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction José P. Pombal Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 31 4 0 27 Jun 2022
Stock Embeddings: Learning Distributed Representations for Financial Assets Rian Dolphin Barry Smyth Ruihai Dong AIFin 13 8 0 14 Feb 2022
Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning William Blanzeisky Padraig Cunningham K. Kennedy 16 3 0 19 Jul 2021
Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning William Blanzeisky Padraig Cunningham FaML 33 7 0 31 May 2021