C4.5: programs for machine learning, 1993. ,
Algorithmic Learning in a Random World, 2005. ,
Inductive Conformal Prediction: Theory and Application to Neural Networks, Tools in Artificial Intelligence, vol.18, pp.315-330, 2008. ,
DOI : 10.5772/6078
Conformal Prediction for Indoor Localisation with Fingerprinting Method, Artificial Intelligence Applications and Innovations, pp.214-223, 2012. ,
DOI : 10.1007/978-3-642-33412-2_22
Computationally efficient SVM multi-class image recognition with confidence measures, Fusion Engineering and Design, vol.86, issue.6-8, pp.1213-1216, 2011. ,
DOI : 10.1016/j.fusengdes.2011.02.081
Survey and critique of techniques for extracting rules from trained artificial neural networks, Knowledge-Based Systems, vol.8, issue.6, pp.373-389, 1995. ,
DOI : 10.1016/0950-7051(96)81920-4
Neurorule: A connectionist approach to data mining, pp.478-489, 1995. ,
Rule learning by searching on adapted nets, pp.590-595, 1991. ,
Extracting tree-structured representations of trained networks, Advances in Neural Information Processing Systems, pp.24-30, 1996. ,
Using Rule Extraction to Improve the Comprehensibility of Predictive Models, SSRN Electronic Journal, 2006. ,
DOI : 10.2139/ssrn.961358
Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring, In: Rule Extraction from Support Vector Machines, pp.33-63, 2008. ,
DOI : 10.1007/978-3-540-75390-2_2
Rule extraction: Using neural networks or for neural networks?, Journal of Computer Science and Technology, vol.12, issue.4???5, pp.249-253, 2004. ,
DOI : 10.1007/BF02944803
Data mining, ACM SIGMOD Record, vol.31, issue.1, 2005. ,
DOI : 10.1145/507338.507355