Non-parametric Random Forest (RndF) and Multi-Class AdaBoost (MCA) ensemble classifiers were introduced with RF-Distinct Native Attribute (RF-DNA) fingerprinting to enhance device authentication ...

Random forest clustering is attractive for tissue microarray and other immunohistochemistry data since it handles highly skewed tumor marker expressions well and weighs the contribution of each ...

Cédric Beaulac, Jeffrey S. Rosenthal, Predicting University Students' Academic Success and Major Using Random Forests, Research in Higher Education, Vol. 60, No. 7 (NOVEMBER 2019), pp. 1048-1064 ...