A data-centric AI framework cleans FLIm labels via confident learning and achieves 96% accuracy classifying glioma infiltration into low, moderate, and high cellularity.
Machine Learning: Algorithms, Real -World Applications and Research Directions
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Advocates robust inclusion of arts in STEAM education to support holistic AI literacy in K-12 by addressing media representations, anthropomorphism, societal biases, and generative AI impacts.
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A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance
A data-centric AI framework cleans FLIm labels via confident learning and achieves 96% accuracy classifying glioma infiltration into low, moderate, and high cellularity.
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Rethinking the A in STEAM: Insights from and for AI Literacy Education
Advocates robust inclusion of arts in STEAM education to support holistic AI literacy in K-12 by addressing media representations, anthropomorphism, societal biases, and generative AI impacts.