Full Name
Rudy Setiono
Variants
Setiono, R.
Rudy, S.
Setiono, Rudy
 
 
 
Email
disrudy@nus.edu.sg
 

Publications

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Author:  Setiono, Rudy

Results 41-60 of 75 (Search time: 0.005 seconds).

Issue DateTitleAuthor(s)
411996Improving backpropagation learning with feature selectionSetiono, R. ; Liu, H. 
421998Incremental Feature SelectionLiu, H. ; Setiono, R. 
4325-Aug-1994Interior dual proximal point algorithm for linear programsSetiono, R. 
44Sep-1992Interior proximal point algorithm for linear programsSetiono, R. 
452012Keyword extraction using backpropagation neural networks and rule extractionAzcarraga, A.; Liu, M.D.; Setiono, R. 
462006Knowledge 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.
472004Knowledge acquisition and revision via neural networksAzcarraga, A.; Hsieh, M.; Pan, S.-L. ; Setiono, R. 
482008Market research applications of artificial neural networksAzcarraga, A.P.; Hsieh, M.-H.; Setiono, R. 
492008Minerva: Sequential covering for rule extractionHuysmans, J.; Setiono, R. ; Baesens, B.; Vanthienen, J.
502000Neural network pruning for function approximationSetiono, Rudy ; Gaweda, Adam
512010Neural network rule extraction and the LED display recognition problemSetiono, R. ; Tanaka, M.
521997Neural-network feature selectorSetiono, R. ; Liu, H. 
5330-Sep-1997Neurolinear: From neural networks to oblique decision rulesSetiono, R. ; Liu, H. 
541999On mapping decision trees and neural networksSetiono, R. ; Leow, W.K. 
551-Sep-1997On the solution of the parity problem by a single hidden layer feedforward neural networkSetiono, R. 
562009Predicting consumer preference for fast-food franchises: A data mining approachHayashi, Y.; Hsieh, M.-H.; Setiono, R. 
572004Product-, corporate-, and country-image dimensions and purchase behavior: A multicountry analysisHsieh, M.-H.; Pan, S.-L. ; Setiono, R. 
582000Pruned neural networks for regressionSetiono, R. ; Leow, W.K. 
592008Recursive neural network rule extraction for data with mixed attributesSetiono, R. ; Baesens, B.; Mues, C.
602006Risk management and regulatory compliance: A data mining framework based on neural network rule extractionSetiono, R. ; Mues, C.; Baesens, B.