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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 21-40 of 75 (Search time: 0.005 seconds).

Issue DateTitleAuthor(s)
212002Effective query size estimation using neural networksLu, H. ; Setiono, R. 
221993Efficient neural network training algorithm for the Cray Y-MP supercomputerLeung, Chung Siu ; Setiono, Rudy 
231999Explanation of the 'virtual input' phenomenonLeow, W.K. ; Setiono, R. 
242000Extracting M-of-N rules from trained neural networksSetiono, R. 
251-Jan-1997Extracting rules from neural networks by pruning and hidden-unit splittingSetiono, R. 
26Feb-1996Extracting rules from pruned neural networks for breast cancer diagnosisSetiono, R. 
272005Extracting salient dimensions for automatic SOM labelingAzcarraga, A.P.; Hsieh, M.-H.; Pan, S.L. ; Setiono, R. 
282002Extraction of rules from artificial neural networks for nonlinear regressionSetiono, R. ; Leow, W.K. ; Zurada, J.M.
291997Feature selection via discretizationLiu, H. ; Setiono, R. 
302001Feedforward neural network construction using cross validationSetiono, R. 
312000FERNN: an algorithm for fast extraction of rules from neural networksSetiono, R. ; Leow, W.K. 
321998Fragmentation problem and automated feature constructionSetiono, Rudy ; Liu, Huan 
332005From knowledge discovery to implementation: A business intelligence approach using neural network rule extraction and decision tablesMues, C.; Baesens, B.; Setiono, R. ; Vanthienen, J.
342000Generating concise and accurate classification rules for breast cancer diagnosisSetiono, R. 
351999Generating rules from trained network using fast pruningSetiono, Rudy ; Leow, Wee Kheng 
362006Greedy rule generation from discrete data and its use in neural network rule extractionOdajima, K.; Hayashi, Y.; Setiono, R. 
372008Greedy rule generation from discrete data and its use in neural network rule extractionOdajima, K.; Hayashi, Y.; Tianxia, G.; Setiono, R. 
382011Guest editorial white box nonlinear prediction modelsBaesens, B.; Martens, D.; Setiono, R. ; Zurada, J.M.
391994Image compression using a feedforward neural networkSetiono, Rudy ; Lu, Guojun 
202008Improved SOM labeling methodology for data mining applicationsAzcarraga, A.; Hsieh, M.-H.; Pan, S.-L. ; Setiono, R.