‪Usman Gohar‬ - ‪Google Scholar‬

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Co-authors

Sumon BiswasCarnegie Mellon University, Postdoctoral ResearcherVerified email at cs.cmu.edu
Hridesh RajanProfessor and Chair, Iowa State UniversityVerified email at acm.org
Lu ChengAssistant Professor, UIC CSVerified email at uic.edu
Jane Cleland-HuangUniversity of Notre DameVerified email at nd.edu
Robyn LutzIowa State UniversityVerified email at iastate.edu

Usman Gohar

Usman Gohar

Iowa State University

Verified email at iastate.edu - Homepage

machine learning artificial intelligence fairness in machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Towards Understanding Fairness and its Composition in Ensemble Machine Learning U Gohar, S Biswas, H Rajan International Conference on Software Engineering (ICSE), 2022	21	2022
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges U Gohar, L Cheng Proceedings of the Thirty-Second International Joint Conference on …, 2023	15	2023
Scalable Techniques for Trajectory Outlier Detection U Gohar University of Minnesota, 2019	1	2019
Introducing v0. 5 of the AI Safety Benchmark from MLCommons B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ... arXiv preprint arXiv:2404.12241, 2024		2024
Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations U Gohar, MC Hunter, A Marczak-Czajka, RR Lutz, MB Cohen, ... International Conference on Software Engineering (ICSE), 2024		2024

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