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

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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Detalles Bibliográficos
Autores principales: Bandstra, Mark S., Curtis, Joseph C., Ghawaly, James M., Jones, A. Chandler, Joshi, Tenzing H. Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281578/
https://www.ncbi.nlm.nih.gov/pubmed/37339151
http://dx.doi.org/10.1371/journal.pone.0286829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281578/
https://www.ncbi.nlm.nih.gov/pubmed/37339151
http://dx.doi.org/10.1371/journal.pone.0286829

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