Browsing by Author SETIONO,RUDY

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Issue DateTitleAuthor(s)
2012Keyword extraction using backpropagation neural networks and rule extractionAzcarraga, A.; Liu, M.D.; Setiono, R. 
2006Knowledge acquisition and revision using neural networks: An application to a cross-national study of brand image perceptionSetiono, R. ; Pan, S.-L. ; Hsieh, M.-H.; Azcarraga, A.
2004Knowledge acquisition and revision via neural networksAzcarraga, A.; Hsieh, M.; Pan, S.-L. ; Setiono, R. 
2008Market research applications of artificial neural networksAzcarraga, A.P.; Hsieh, M.-H.; Setiono, R. 
2008Minerva: Sequential covering for rule extractionHuysmans, J.; Setiono, R. ; Baesens, B.; Vanthienen, J.
2000Neural network pruning for function approximationSetiono, Rudy ; Gaweda, Adam
2010Neural network rule extraction and the LED display recognition problemSetiono, R. ; Tanaka, M.
1997Neural-network feature selectorSetiono, R. ; Liu, H. 
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.