.
20 (3) pp. 673–686. Springer-Verlag. London, UK, UK (aug/2017).
@article{Settouti:2017:NFS:3127600.3127610,
author = {Settouti, Nesma and Chikh, Mohamed Amine and Barra, Vincent},
title = {A New Feature Selection Approach Based on Ensemble Methods in Semi-supervised Classification},
journal = {Pattern Anal. Appl.},
issue_date = {August 2017},
volume = {20},
number = {3},
month = aug,
year = {2017},
issn = {1433-7541},
pages = {673--686},
numpages = {14},
doi = {10.1007/s10044-015-0524-9},
acmid = {3127610},
publisher = {Springer-Verlag},
address = {London, UK, UK},
keywords = {Co-forest, Ensemble methods, Feature selection, Large datasets, Medical diagnosis, Random Forest, Semi-supervised learning},
}