Explaining machine-learning models for gamma-ray detection and identification

Explaining machine-learning models for gamma-ray detection and identification

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As more complex predictive models are used for gamma-ray spectral analysis, methods are needed to probe and understand their predictions and behavior. Recent work has begun to bring the latest techniques from the field of Explainable Artificial Intelligence (XAI) into the applications of gamma-ray s...

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Bibliographic Details
Main Authors: Mark S. Bandstra, Joseph C. Curtis, James M. Ghawaly, A. Chandler Jones, Tenzing H. Y. Joshi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281578/?tool=EBI

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