Occlusion sensitivity, not gradient-based saliency, best reveals how a convolutional autoencoder recognizes scintillator pulses; the paper ties the loss minimum to kernel size and estimates 30 ns minimum pulse separation.
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Applicability Evaluation of Selected xAI Methods for Machine Learning Algorithms for Signal Parameters Extraction
Occlusion sensitivity, not gradient-based saliency, best reveals how a convolutional autoencoder recognizes scintillator pulses; the paper ties the loss minimum to kernel size and estimates 30 ns minimum pulse separation.