Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approach-Reference-Cited by-同舟云学术

Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approach

Published:2024-03-07 Issue:8 Volume:120 Page:6991-7014
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Kurnaz Talas Fikret^ORCID,Erden Caner^ORCID,Dağdeviren Uğur^ORCID,Demir Alparslan Serhat^ORCID,Kökçam Abdullah Hulusi^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11069-024-06490-8.pdf

Reference58 articles.

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3. AutoGluon (2023a) AutoGluon Webpage [WWW Document]. AutoGluon. https://auto.gluon.ai/api/autogluon.tabular.models.html. Accessed 13 Sep 23

4. AutoGluon (2023b) Hyperparameter Optimization in AutoMM [WWW Document]. AutoGluon. https://auto.gluon.ai/tutorials/multimodal/advanced_topics/hyperparameter_optimization.html. Accessed 13 Sep 23

5. Azmoon B, Biniyaz A, Liu Z (2021) Evaluation of deep learning against conventional limit equilibrium methods for slope stability analysis. Appl Sci 11:6060. https://doi.org/10.3390/app11136060

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