WoodelfHD reduces Background SHAP preprocessing for decision trees from 3^D to 2^D complexity, enabling exact computation on depths up to 21 with reported speedups of 33x to 162x.
A machine learning approach for credit card fraud detection in massive datasets using smote and ran- dom sampling
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An integrated fringe projection and AI pipeline delivers aligned high-accuracy 3D sensing and instance segmentation for autonomous HDD disassembly at 77.7 FPS.
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WOODELF-HD: Efficient Background SHAP for High-Depth Decision Trees
WoodelfHD reduces Background SHAP preprocessing for decision trees from 3^D to 2^D complexity, enabling exact computation on depths up to 21 with reported speedups of 33x to 162x.
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Fringe Projection Based Vision Pipeline for Autonomous Hard Drive Disassembly
An integrated fringe projection and AI pipeline delivers aligned high-accuracy 3D sensing and instance segmentation for autonomous HDD disassembly at 77.7 FPS.