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[HTML][HTML] Improve the deep learning models in forestry based on explanations and expertise

X Cheng, A Doosthosseini, J Kunkel - Frontiers in Plant Science, 2022 - frontiersin.org
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …
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[PDF] gwdg.de

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

X Cheng, A Doosthosseini, J Kunkel - it-sicherheit.gwdg.de
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …
[PDF] gwdg.science

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

X Cheng, A Doosthosseini, J Kunkel - gwdg.science
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …

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

X Cheng, A Doosthosseini, J Kunkel - 2022 - publications.goettingen-research …
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …
[PDF] gwdg.de

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

X Cheng, A Doosthosseini, J Kunkel - security.gwdg.de
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …
[PDF] gwdg.info

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

X Cheng, A Doosthosseini, J Kunkel - gwdg.info
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …
[PDF] gwdg.de

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

X Cheng, A Doosthosseini, J Kunkel - sicherheit.gwdg.de
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …
[HTML] nih.gov

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

X Cheng, A Doosthosseini, J Kunkel - Frontiers in Plant Science, 2022 - ncbi.nlm.nih.gov
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …
[PDF] gwdg.de

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

X Cheng, A Doosthosseini, J Kunkel - password.gwdg.de
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …

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

X Cheng, A Doosthosseini, J Kunkel - Frontiers in Plant Science, 2022 - europepmc.org
In forestry studies, deep learning models have achieved excellent performance in many
application scenarios (eg, detecting forest damage). However, the unclear model decisions …