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FairRover: explorative model building for fair and responsible machine learning.

, , , and . DEEM@SIGMOD, page 5:1-5:10. ACM, (2021)

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MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science., , , , and . CIKM, page 2893-2896. ACM, (2019)Maximizing Fair Content Spread via Edge Suggestion in Social Networks., , , and . Proc. VLDB Endow., 15 (11): 2692-2705 (2022)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)Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation., , and . CoRR, (2023)Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities., , and . CoRR, (2024)Tailoring Data Source Distributions for Fairness-aware Data Integration., , and . Proc. VLDB Endow., 14 (11): 2519-2532 (2021)