www.abcd-j.de/content/topics/robustml/_index.md

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title: Robust and bias-free machine learning
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AI-supported research must be trustworthy and robust. This means methods and results that are bias-free and consistently tested for generalizability.
In julearn, the ABCD-J project provides software that simplifies complex machine learning methods and prevents typical errors such as data leakage. This makes machine learning simpler and more trustworthy.
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