A peek into the black box: exploring classifiers by randomization

An AUC-based permutation variable importance measure for random forests

(2013) Silke Janitza et al.   BMC BIOINFORMATICS

A statistical significance testing approach to mining the most informative set of patterns

(2012) Jefrey Lijffijt et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Maximum entropy models and subjective interestingness: an application to tiles in binary databases

(2010) Tijl De Bie   DATA MINING AND KNOWLEDGE DISCOVERY

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Open-source machine learning: R meets Weka

(2008) Kurt Hornik et al.   COMPUTATIONAL STATISTICS

Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms

(2007) Pietari Pulkkinen et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING