Ninareh Mehrabi
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A survey on bias and fairness in machine learning
N Mehrabi, F Morstatter, N Saxena, K Lerman, A Galstyan
ACM Computing Surveys (CSUR) 54 (6), 1-35, 2021
Man is to person as woman is to location: Measuring gender bias in named entity recognition
N Mehrabi, T Gowda, F Morstatter, N Peng, A Galstyan
Proceedings of the 31st ACM Conference on Hypertext and Social Media, 231-232, 2020
Dynamicgem: A library for dynamic graph embedding methods
P Goyal, SR Chhetri, N Mehrabi, E Ferrara, A Canedo
arXiv preprint arXiv:1811.10734, 2018
Debiasing community detection: The importance of lowly connected nodes
N Mehrabi, F Morstatter, N Peng, A Galstyan
2019 IEEE/ACM International Conference on Advances in Social Networks …, 2019
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
N Mehrabi, P Zhou, F Morstatter, J Pujara, X Ren, A Galstyan
arXiv preprint arXiv:2103.11320, 2021
Statistical Equity: A Fairness Classification Objective
N Mehrabi, Y Huang, F Morstatter
arXiv preprint arXiv:2005.07293, 2020
Exacerbating Algorithmic Bias through Fairness Attacks
N Mehrabi, M Naveed, F Morstatter, A Galstyan
arXiv preprint arXiv:2012.08723, 2020
The Leaky Pipeline in Physics Publishing
CO Ross, A Gupta, N Mehrabi, G Muric, K Lerman
arXiv preprint arXiv:2010.08912, 2020
Attributing Fair Decisions with Attention Interventions
N Mehrabi, U Gupta, F Morstatter, GV Steeg, A Galstyan
arXiv preprint arXiv:2109.03952, 2021
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