1. N. Dessì, B. Pes, Similarity of feature selection methods: an empirical study across data intensive classification tasks. Expert Syst. Appl. 42(10), 4632–4642 (2015)
2. I. Kononenko, E. Šimec, M. Robnik-Šikonja, Overcomingthe myopia of inductive learning algorithms with relieff. Appl. Intell. 7(1), 39–55 (1997)
3. N. Zhou, L. Wang, A modified t-test feature selection method and its application on the hapmap genotype data. Genomics Proteomics Bioinform. 5(3–4), 242–249 (2007)
4. H. Liu, R. Setiono, Chi2: feature selection and discretization of numeric attributes, in Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence (IEEE, 1995), pp. 388–391
5. C. Lin, T. Miller, D. Dligach, R.M. Plenge, E.W. Karlson, G. Savova, Maximal information coefficient for feature selection for clinical document classification, in ICML Workshop on Machine Learning for Clinical Data. Edinburgh, UK, 2012