Exploring the Inequitable Impact of Data Missingness on Fairness in Machine Learning

Sitao Min, Hafiz Asif, Jaideep Vaidya

Open source

DOI: 10.1109/mis.2025.3549484
Published: 2025-05
Container: IEEE Intelligent Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/mis.2025.3549484,
  title = {Exploring the Inequitable Impact of Data Missingness on Fairness in Machine Learning},
  author = {Sitao Min and Hafiz Asif and Jaideep Vaidya},
  year = {2025},
  journal = {IEEE Intelligent Systems},
  doi = {10.1109/mis.2025.3549484},
  url = {https://doi.org/10.1109/mis.2025.3549484}
}

RIS

TY  - JOUR
TI  - Exploring the Inequitable Impact of Data Missingness on Fairness in Machine Learning
AU  - Sitao Min
AU  - Hafiz Asif
AU  - Jaideep Vaidya
PY  - 2025
JO  - IEEE Intelligent Systems
DO  - 10.1109/mis.2025.3549484
UR  - https://doi.org/10.1109/mis.2025.3549484
ER  -

APA

Min, S., Asif, H., & Vaidya, J. (2025). Exploring the Inequitable Impact of Data Missingness on Fairness in Machine Learning. IEEE Intelligent Systems. https://doi.org/10.1109/mis.2025.3549484

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crossref · retrieved 2026-11-10T10:14:09.733Z