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Outcome risk model development for heterogeneity of treatment effect analyses: a comparison of non-parametric machine learning methods and semi-parametric statistical methods

2024 . Xu, Edward | Vanghelof, Joseph | Wang, Yiyang | Patel, Anisha | Furst, Jacob | Raicu, Daniela Stan | Neumann, Johannes Tobias | Wolfe, Rory | Gao, Caroline X. | McNeil, John J. | Shah, Raj C. | Tchoua, Roselyne

Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

2024 . Halder, Krishnagopal | Srivastava, Amit Kumar | Ghosh, Anitabha | Nabik, Ranajit | Pan, Subrata | Chatterjee, Uday | Bisai, Dipak | Pal, Subodh Chandra | Zeng, Wenzhi | Ewert, Frank | Gaiser, Thomas | Pande, Chaitanya Baliram | Islam, Abu Reza Md. Towfiqul | Alam, Edris | Islam, Md Kamrul

Prediction of lung emphysema in COPD by spirometry and clinical symptoms: results from COSYCONET

Block Forests: random forests for blocks of clinical and omics covariate data

2019 . Hornung, Roman | Wright, Marvin N.

Splitting on categorical predictors in random forests

2019 . Wright, Marvin N. | König, Inke R.

CRUP: a comprehensive framework to predict condition-specific regulatory units

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

2018 . Hengl, Tomislav | Nussbaum, Madlene | Wright, Marvin N. | Heuvelink, Gerard B.M. | Gräler, Benedikt