Attribution-Driven Explanation of the Deep Neural Network Model via Conditional Microstructure Image Synthesis

[Image: see text] The materials science community has been increasingly interested in harnessing the power of deep learning to solve various domain challenges. However, despite their effectiveness in building highly predictive models, e.g., predicting material properties from microstructure imaging,...

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Detalles Bibliográficos
Autores principales: Liu, Shusen, Kailkhura, Bhavya, Zhang, Jize, Hiszpanski, Anna M., Robertson, Emily, Loveland, Donald, Zhong, Xiaoting, Han, T. Yong-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793074/
https://www.ncbi.nlm.nih.gov/pubmed/35097261
http://dx.doi.org/10.1021/acsomega.1c04796

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793074/
https://www.ncbi.nlm.nih.gov/pubmed/35097261
http://dx.doi.org/10.1021/acsomega.1c04796

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