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Data Cleaning for Accurate, Fair, and Robust Models

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References

2016Data Cleaning488 cited
2017HoloClean477 cited
2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
2018The Frontiers of Fairness in Machine Learning233 cited
2017Data Management Challenges in Production Machine Learning214 cited
2018Data Integration and Machine Learning95 cited

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2024Make your data fair: A survey of data preprocessing techniques that address biases in data towards fair AI21 cited

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