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Improve the Deep Learning Models in Forestry Based on Explanations and Expertise

In forestry studies, deep learning models have achieved excellent performance in many application scenarios (e.g., detecting forest damage). However, the unclear model decisions (i.e., black-box) undermine the credibility of the results and hinder their practicality. This study intends to obtain exp...

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Detalles Bibliográficos
Autores principales: Cheng, Ximeng, Doosthosseini, Ali, Kunkel, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169801/
https://www.ncbi.nlm.nih.gov/pubmed/35677249
http://dx.doi.org/10.3389/fpls.2022.902105