Concepedia

Data-driven framework for predicting rate of penetration in deepwater granitic formations: A marine engineering geology perspective with comprehensive model interpretability

Yichi Zhang, Yu Liang, Lele Yang, Zhiqiang Hu, Yaxin Liu

Engineering Geology · 2025 · 14 citations · 44 references

References

44

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text

Computing, Computer Science, Mathematics +17

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

Yoav Freund, Robert E. Schapire · Journal of Computer and System Sciences · 1997 · 20.3K citations

Computing, Computer Science, Mathematics +14

XGBoost: A Scalable Tree Boosting System

arXiv (Cornell University) · 2016 · 7.1K citations · Full text

Computing, Computer Science, Data Science +16

Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach

Sujith Mangalathu, Seong‐Hoon Hwang, Jong‐Su Jeon · Engineering Structures · 2020 · 1K citations

Computing, Computer Science, Industrial Engineering +7

Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

Laurent Torlay, Marcela Perrone‐Bertolotti, Elizabeth Thomas et al. · Brain Informatics · 2017 · 490 citations · Full text

Medicine, Neuroscience, Surgery +17