Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
Classification and Regression Trees, 1984. ,
Feature subset selection Filter???Wrapper based on low quality data, Expert Systems with Applications, vol.40, issue.16, pp.406241-6252, 2013. ,
DOI : 10.1016/j.eswa.2013.05.051
mixOmics: Omics Data Integration Project, 2013. ,
Gene selection and classification of microarray data using random forest, BMC Bioinformatics, vol.7, issue.1, p.3, 2006. ,
DOI : 10.1186/1471-2105-7-3
Variable selection using random forests, Pattern Recognition Letters, vol.31, issue.14, pp.312225-2236, 2010. ,
DOI : 10.1016/j.patrec.2010.03.014
URL : https://hal.archives-ouvertes.fr/hal-00755489
A new variable selection approach using Random Forests, Computational Statistics & Data Analysis, vol.60, pp.50-69, 2012. ,
DOI : 10.1016/j.csda.2012.09.020
The Elements of Statistical Learning, 2001. ,
Wrappers for feature subset selection, Artificial Intelligence, vol.97, issue.1-2, pp.273-324, 1997. ,
DOI : 10.1016/S0004-3702(97)00043-X
Feature selection with the Boruta package, Journal of Statistical Software, issue.11, p.36, 2010. ,
Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method, Journal of Statistical Software, vol.28, issue.9, 2008. ,
DOI : 10.18637/jss.v028.i09
URL : https://hal.archives-ouvertes.fr/hal-00300209
R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2013. ,
Mining data with random forests: A survey and results of new tests, Pattern Recognition, vol.44, issue.2, pp.330-349, 2011. ,
DOI : 10.1016/j.patcog.2010.08.011