Browsing by Author Baesens, B.

Showing results 1 to 14 of 14
Issue DateTitleAuthor(s)
2009A note on knowledge discovery using neural networks and its application to credit card screeningSetiono, R. ; Baesens, B.; Mues, C.
2005From knowledge discovery to implementation: A business intelligence approach using neural network rule extraction and decision tablesMues, C.; Baesens, B.; Setiono, R. ; Vanthienen, J.
2011Guest editorial white box nonlinear prediction modelsBaesens, B.; Martens, D.; Setiono, R. ; Zurada, J.M.
2008Minerva: Sequential covering for rule extractionHuysmans, J.; Setiono, R. ; Baesens, B.; Vanthienen, J.
2008Recursive neural network rule extraction for data with mixed attributesSetiono, R. ; Baesens, B.; Mues, C.
2006Risk management and regulatory compliance: A data mining framework based on neural network rule extractionSetiono, R. ; Mues, C.; Baesens, B.
2011Rule extraction from minimal neural networks for credit card screeningSetiono, R. ; Baesens, B.; Mues, C.
2012Rule Extraction from Neural Networks and Support Vector Machines for Credit ScoringSetiono, R. ; Baesens, B.; Martens, D.
2008Rule extraction from support vector machines: An overview of issues and application in credit scoringMartens, D.; Huysmans, J.; Setiono, R. ; Vanthienen, J.; Baesens, B.
2010Software effort prediction using regression rule extraction from neural networksSetiono, R. ; Dejaeger, K.; Verbeke, W.; Martens, D.; Baesens, B.
2010Special issue of the IEEE transactions on neural networks: White box nonlinear prediction modelsBaesens, B.; Martens, D.; Setiono, R. ; Zurada, J.
2010Special issue on white box nonlinear prediction modelsBaesens, B.; Martens, D.; Setiono, R. ; Zurada, J.
Jun-2013Understanding and predicting bank rating transitions using optimal survival analysis modelsLouis, P.; Van Laere, E. ; Baesens, B.
2003Using neural network rule extraction and decision tables for credit-risk evaluationBaesens, B.; Setiono, R. ; Mues, C.; Vanthienen, J.