Fairer non-negative matrix factorization
There has been a recent critical need to study fairness and bias in machine learning (ML) algorithms. Since there is clearly no one-size-fits-all solution to fairness, ML methods should be developed alongside bias mitigation strategies that are practical and approachable to the practitioner. Motivat...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2026-03-01
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| Serija: | Frontiers in Big Data |
| Teme: | |
| Online dostop: | https://www.frontiersin.org/articles/10.3389/fdata.2026.1737043/full |
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