Browsing by Author SETIONO,RUDY

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Issue DateTitleAuthor(s)
2000Generating concise and accurate classification rules for breast cancer diagnosisSetiono, R. 
1999Generating rules from trained network using fast pruningSetiono, Rudy ; Leow, Wee Kheng 
2008Greedy rule generation from discrete data and its use in neural network rule extractionOdajima, K.; Hayashi, Y.; Tianxia, G.; Setiono, R. 
2006Greedy rule generation from discrete data and its use in neural network rule extractionOdajima, K.; Hayashi, Y.; Setiono, R. 
2011Guest editorial white box nonlinear prediction modelsBaesens, B.; Martens, D.; Setiono, R. ; Zurada, J.M.
1994Image compression using a feedforward neural networkSetiono, Rudy ; Lu, Guojun 
2008Improved SOM labeling methodology for data mining applicationsAzcarraga, A.; Hsieh, M.-H.; Pan, S.-L. ; Setiono, R. 
1996Improving backpropagation learning with feature selectionSetiono, R. ; Liu, H. 
1998Incremental Feature SelectionLiu, H. ; Setiono, R. 
25-Aug-1994Interior dual proximal point algorithm for linear programsSetiono, R. 
Sep-1992Interior proximal point algorithm for linear programsSetiono, R. 
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.