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FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames
Our work introduces a dataset for bicycle design practitioners, provides two benchmark problems for surrogate modeling researchers, and demonstrates the advantages of AutoML in machine learning tasks.
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