A Model-Agnostic Feature Attribution Approach to Magnetoencephalography Predictions Based on Shapley Value
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DOI: 10.1109/jbhi.2023.3248139
Abstract: Deep learning has greatly enhanced the predictive performance of magnetoencephalography (MEG) decoding. However, the lack of interpretability has become a major obstacle to the practical application of deep learning-based MEG decoding algorithms, which may lead… read more here.
Keywords: attribution approach; model agnostic; feature attribution; attribution ... See more keywords