Researchers combined positive-unlabeled learning, spatial block cross-validation, bootstrap uncertainty, and conformal calibration to produce a confidence-aware nickel prospectivity map of ...
Researchers have developed a focused positive-unlabeled learning method that uses focal loss to achieve state-of-the-art performance on severely imbalanced datasets ...
A knowledge–data dual-driven machine learning framework combining deep forest algorithms with orogenic gold mineral system knowledge has improved mineral prospectivity ...
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