Evaluation of liquefaction potential based on CPT data using random forest

Indoor localization in a hospital environment using Random Forest classifiers

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Application of the adaptive neuro-fuzzy inference system for prediction of soil liquefaction

(2013) Xinhua Xue et al.   NATURAL HAZARDS

Decision Tree Approach for Soil Liquefaction Assessment

(2013) Amir H. Gandomi et al.   TheScientificWorldJOURNAL

Modelling stress–strain and volume change behaviour of unsaturated soils using an evolutionary based data mining technique, an incremental approach

(2012) A.A. Javadi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Estimating residual variance in random forest regression

(2011) Guillermo Mendez et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy

(2011) Simone Vincenzi et al.   ECOLOGICAL MODELLING

Validation and Application of Empirical Liquefaction Models

(2010) Thomas Oommen et al.   JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING

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

(2010) A. Verikas et al.   PATTERN RECOGNITION

Monitoring of cropland practices for carbon sequestration purposes in north central Montana by Landsat remote sensing

(2009) Jennifer D. Watts et al.   REMOTE SENSING OF ENVIRONMENT