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A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys
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A comparison of explainable artificial intelligence methods in the
Application of explainable artificial intelligence for prediction
Application of explainable artificial intelligence for prediction
Explainable artificial intelligence approach for yield strength
Frontiers On the importance of interpretable machine learning
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PDF) Machine Learning Design for High-Entropy Alloys: Models and
Kyungtae Lee's research works University of Virginia, VA (UVa
Machine Learning-Based Classification, Interpretation, and
A machine-learning-based alloy design platform that enables both
AI Applications through the Whole Life Cycle of Material Discovery
Phase classification of multi-principal element alloys via
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