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Rudy Setiono

rp08505

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

Publications

Results 41-60 of 75 (Search time: 0.004 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. 
4Sep-1992Interior proximal point algorithm for linear programsSetiono, R. 
52012Keyword extraction using backpropagation neural networks and rule extractionAzcarraga, A.; Liu, M.D.; Setiono, R. 
62006Knowledge 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.
72004Knowledge acquisition and revision via neural networksAzcarraga, A.; Hsieh, M.; Pan, S.-L. ; Setiono, R. 
82008Market research applications of artificial neural networksAzcarraga, A.P.; Hsieh, M.-H.; Setiono, R. 
92008Minerva: Sequential covering for rule extractionHuysmans, J.; Setiono, R. ; Baesens, B.; Vanthienen, J.
102000Neural network pruning for function approximationSetiono, Rudy ; Gaweda, Adam
112010Neural network rule extraction and the LED display recognition problemSetiono, R. ; Tanaka, M.
121997Neural-network feature selectorSetiono, R. ; Liu, H. 
1330-Sep-1997Neurolinear: From neural networks to oblique decision rulesSetiono, R. ; Liu, H. 
141999On mapping decision trees and neural networksSetiono, R. ; Leow, W.K. 
151-Sep-1997On the solution of the parity problem by a single hidden layer feedforward neural networkSetiono, R. 
162009Predicting consumer preference for fast-food franchises: A data mining approachHayashi, Y.; Hsieh, M.-H.; Setiono, R. 
172004Product-, corporate-, and country-image dimensions and purchase behavior: A multicountry analysisHsieh, M.-H.; Pan, S.-L. ; Setiono, R. 
182000Pruned neural networks for regressionSetiono, R. ; Leow, W.K. 
192008Recursive neural network rule extraction for data with mixed attributesSetiono, R. ; Baesens, B.; Mues, C.
202006Risk management and regulatory compliance: A data mining framework based on neural network rule extractionSetiono, R. ; Mues, C.; Baesens, B.