Unsupervised domain adaptation via feature alignment raises radioisotope identification accuracy on real LaBr3 gamma spectra from 0.754 to 0.904 for models trained only on synthetic data.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Introduces SVAkADD, a method fitting k-additive surrogate games to approximate Shapley values, with empirical comparison to other methods.
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Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy
Unsupervised domain adaptation via feature alignment raises radioisotope identification accuracy on real LaBr3 gamma spectra from 0.754 to 0.904 for models trained only on synthetic data.
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Shapley Value Approximation Based on k-Additive Games
Introduces SVAkADD, a method fitting k-additive surrogate games to approximate Shapley values, with empirical comparison to other methods.