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Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching.

, , , , and . Proc. VLDB Endow., 16 (11): 3279-3292 (2023)

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Maximizing Fair Content Spread via Edge Suggestion in Social Networks., , , and . Proc. VLDB Endow., 15 (11): 2692-2705 (2022)MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science., , , , and . CIKM, page 2893-2896. ACM, (2019)MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness., , , , and . SIGMOD Conference, page 2721-2724. ACM, (2020)Generating Preview Tables for Entity Graphs., , , and . SIGMOD Conference, page 1797-1811. ACM, (2016)Coverage-based Data-centric Approaches for Responsible and Trustworthy AI., , and . IEEE Data Eng. Bull., 47 (1): 3-17 (2024)Designing Fair Ranking Schemes., , , and . SIGMOD Conference, page 1259-1276. ACM, (2019)Assessing and Remedying Coverage for a Given Dataset., , and . CoRR, (2018)Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities., , and . CoRR, (2024)Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation., , and . CoRR, (2023)Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching., , , , and . Proc. VLDB Endow., 16 (11): 3279-3292 (2023)