GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors

This publication has 27 references indexed in Scilit:

• HOW FAR DO WE GET USING MACHINE LEARNING BLACK-BOXES?
  International Journal of Pattern Recognition and Artificial Intelligence, 2012
• RULE EXTRACTION FROM MINIMAL NEURAL NETWORKS FOR CREDIT CARD SCREENING
  International Journal of Neural Systems, 2011
• An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
  Decision Support Systems, 2011
• Permutation importance: a corrected feature importance measure
  Bioinformatics, 2010
• Comprehensible credit scoring models using rule extraction from support vector machines
  European Journal of Operational Research, 2007
• Extraction of rules from artificial neural networks for nonlinear regression
  IEEE Transactions on Neural Networks, 2002
• ANN-DT: an algorithm for extraction of decision trees from artificial neural networks
  IEEE Transactions on Neural Networks, 1999
• Survey and critique of techniques for extracting rules from trained artificial neural networks
  Knowledge-Based Systems, 1995
• Extracting refined rules from knowledge-based neural networks
  Machine Learning, 1993
• Simplifying decision trees
  International Journal of Man-Machine Studies, 1987