Browsing by Author SETIONO,RUDY

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Issue DateTitleAuthor(s)
30-Sep-1997Neurolinear: From neural networks to oblique decision rulesSetiono, R. ; Liu, H. 
1999On mapping decision trees and neural networksSetiono, R. ; Leow, W.K. 
1-Sep-1997On the solution of the parity problem by a single hidden layer feedforward neural networkSetiono, R. 
2009Predicting consumer preference for fast-food franchises: A data mining approachHayashi, Y.; Hsieh, M.-H.; Setiono, R. 
2004Product-, corporate-, and country-image dimensions and purchase behavior: A multicountry analysisHsieh, M.-H.; Pan, S.-L. ; Setiono, R. 
2000Pruned neural networks for regressionSetiono, R. ; Leow, W.K. 
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.
2005Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perceptionSetiono, R. ; Pan, S.L. ; Hsieh, M.-H.; Azcarraga, A.P.
2010Software effort prediction using regression rule extraction from neural networksSetiono, R. ; Dejaeger, K.; Verbeke, W.; Martens, D.; Baesens, B.
Oct-1998Some issues on scalable feature selectionLiu, H. ; Setiono, R. 
1993Some n-bit parity problems are solvable by feed-forward networks with less than n hidden unitsSetiono, Rudy ; Hui, Lucas Chi Kwong 
2010Special issue of IEEE transactions on neural networks: White box non-linear prediction modelsBart, B.; David, M.; Rudy, S. ; Jacek, Z.
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.
Mar-1996Symbolic representation of neural networksSetiono, R. ; Liu, H. 
10-Sep-1998Symbolic rule extraction from neural networks An application to identifying organizations adopting ITSetiono, R. ; Thong, J.Y.L.; Yap, C.-S.