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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

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Author:  Setiono, Rudy
Department:  DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS

Results 1-20 of 75 (Search time: 0.005 seconds).

Issue DateTitleAuthor(s)
12002A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorizationTam, V.; Santoso, A.; Setiono, R. 
22000A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disordersHayashi, Y.; Setiono, R. ; Yoshida, K.
31999A connectionist approach to generating oblique decision treesSetiono, R. ; Liu, H. 
42005A hybrid SOM-SVM approach for the zebrafish gene expression analysisWu, W.; Liu, X.; Xu, M.; Peng, J.-R.; Setiono, R. 
52004A hybrid SOM-SVM method for analyzing zebra fish gene expressionWu, W.; Xin, L.; Min, X.; Jinrong, P. ; Setiono, R. 
6Jun-1994A neural network construction algorithm with application to image compressionSetiono, R. ; Lu, G. 
72009A note on knowledge discovery using neural networks and its application to credit card screeningSetiono, R. ; Baesens, B.; Mues, C.
81-Jan-1997A penalty-function approach for pruning feedforward neural networksSetiono, R. 
92004An approach to generate rules from neural networks for regression problemsSetiono, R. ; Thong, J.Y.L.
102001An effective method for generating multiple linear regression rules from artificial neural networksSetiono, R. ; Azcarraga, A. 
11Mar-1998Analysis of Hidden Representations by Greedy ClusteringSetiono, R. ; Liu, H. 
122004Applying the conjugate gradient method for text document categorizationTam, V.; Setiono, R. ; Santoso, A.
132005Automatic knowledge extraction from survey data: Learning M-of-N constructs using a hybrid approachSetiono, R. ; Pan, S.-L. ; Hsieh, M.-H.; Azcarraga, A.
141995Chi2: feature selection and discretization of numeric attributesLiu, Huan ; Setiono, Rudy 
152002Combining neural network predictions for medical diagnosisHayashi, Y.; Setiono, R. 
162004Computational intelligence methods for rule-based data understandingDuch, W.; Setiono, R. ; Zurada, J.M.
17Feb-1996Dimensionality reduction via discretizationLiu, H. ; Setiono, R. 
182012Discrete variable generation for improved neural network classificationSetiono, R. ; Seret, A.
191996Effective data mining using neural networksLu, H. ; Setiono, R. ; Liu, H. 
202005Effective neural network pruning using cross-validationHuynh, T.Q.; Setiono, R.