A Combinatorial Approach to Fairness Testing of Machine Learning Models

Research article (2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2022) · cited 24× · AI/ML
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A Combinatorial Approach to Fairness Testing of Machine Learning Models

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A Combinatorial Approach to Fairness Testing of Machine Learning Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Combinatorial Approach to Fairness Testing of Machine Learning Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-combinatorial-approach-to-fairness-testing-of-machine-learning-models
MLA “A Combinatorial Approach to Fairness Testing of Machine Learning Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-combinatorial-approach-to-fairness-testing-of-machine-learning-models.
BibTeX @misc{4ortxyz_a-combinatorial-approach-to-fairness-testing-of-machine-learning-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Combinatorial Approach to Fairness Testing of Machine Learning Models}}, year = {2026}, url = {https://4ort.xyz/entity/a-combinatorial-approach-to-fairness-testing-of-machine-learning-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Combinatorial Approach to Fairness Testing of Machine Learning Models — https://4ort.xyz/entity/a-combinatorial-approach-to-fairness-testing-of-machine-learning-models (retrieved 2026-05-24)

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