SAMLA can be downloaded  here.

Supplementary material of the paper entitled "On the scalability of feature selection methods on high-dimensional data".

Supplementary material of the paper entitled "Can classification performance be predicted by complexity measures? A study using microarray data" and submitted for consideration in Knowledge and Information Systems.

Supplementary material of the paper entitled "A comparison of performance of K-complex classification methods using feature selection" published in Information Sciences, Volume 328, 20 January 2016, Pages 1-14.

Source code for the multithreaded and distributed feature selection algorithms described in the paper "Multithreaded and Spark parallelization of feature selection filters" submitted for consideration to the Special Issue on “Recent Advances in Parallel Techniques for Scientific Computing” of the Journal of Computional Science.

Supplementary material of the paper entitled "Testing Different Ensemble Combination for Feature Selection"

Supplementary material of the paper entitled "On developing an automatic threshold applied to feature selection ensembles"

Supplementary material of the paper entitled "Dealing with heterogeneity in the context of distributed feature selection"