Statistical model optimized random forest regression model for concrete dam deformation monitoring

Interpretation of dam deformation and leakage with boosted regression trees

(2016) Fernando Salazar et al.   ENGINEERING STRUCTURES

Explaining relationships between coke quality index and coal properties by Random Forest method

(2016) S. Chehreh Chelgani et al.   FUEL

Thermal displacements of concrete dams: Accounting for water temperature in statistical models

(2015) M. Tatin et al.   ENGINEERING STRUCTURES

Performance improvement method of support vector machine-based model monitoring dam safety

(2015) Huaizhi Su et al.   Structural Control & Health Monitoring

An empirical comparison of machine learning techniques for dam behaviour modelling

(2015) F. Salazar et al.   STRUCTURAL SAFETY

Constructing statistical models for arch dam deformation

(2013) Juan Mata et al.   Structural Control & Health Monitoring

A new variable selection approach using Random Forests

(2012) A. Hapfelmeier et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A new variable importance measure for random forests with missing data

(2012) Alexander Hapfelmeier et al.   STATISTICS AND COMPUTING

Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models

(2011) J. Mata   ENGINEERING STRUCTURES

Ill-conditioned problems of dam safety monitoring models and their processing methods

(2011) ChongShi Gu et al.   Science China-Technological Sciences

Mining data with random forests: A survey and results of new tests

(2010) A. Verikas et al.   PATTERN RECOGNITION

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS