Browsing by Author SETIONO,RUDY

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Issue DateTitleAuthor(s)
2002A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorizationTam, V.; Santoso, A.; Setiono, R. 
2000A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disordersHayashi, Y.; Setiono, R. ; Yoshida, K.
1999A connectionist approach to generating oblique decision treesSetiono, R. ; Liu, H. 
2005A hybrid SOM-SVM approach for the zebrafish gene expression analysisWu, W.; Liu, X.; Xu, M.; Peng, J.-R.; Setiono, R. 
2004A hybrid SOM-SVM method for analyzing zebra fish gene expressionWu, W.; Xin, L.; Min, X.; Jinrong, P. ; Setiono, R. 
Jun-1994A neural network construction algorithm with application to image compressionSetiono, R. ; Lu, G. 
2009A note on knowledge discovery using neural networks and its application to credit card screeningSetiono, R. ; Baesens, B.; Mues, C.
1-Jan-1997A penalty-function approach for pruning feedforward neural networksSetiono, R. 
2004An approach to generate rules from neural networks for regression problemsSetiono, R. ; Thong, J.Y.L.
2001An effective method for generating multiple linear regression rules from artificial neural networksSetiono, R. ; Azcarraga, A. 
Mar-1998Analysis of Hidden Representations by Greedy ClusteringSetiono, R. ; Liu, H. 
2004Applying the conjugate gradient method for text document categorizationTam, V.; Setiono, R. ; Santoso, A.
2005Automatic knowledge extraction from survey data: Learning M-of-N constructs using a hybrid approachSetiono, R. ; Pan, S.-L. ; Hsieh, M.-H.; Azcarraga, A.
1995Chi2: feature selection and discretization of numeric attributesLiu, Huan ; Setiono, Rudy 
2002Combining neural network predictions for medical diagnosisHayashi, Y.; Setiono, R. 
2004Computational intelligence methods for rule-based data understandingDuch, W.; Setiono, R. ; Zurada, J.M.
Feb-1996Dimensionality reduction via discretizationLiu, H. ; Setiono, R. 
2012Discrete variable generation for improved neural network classificationSetiono, R. ; Seret, A.
1996Effective data mining using neural networksLu, H. ; Setiono, R. ; Liu, H. 
2005Effective neural network pruning using cross-validationHuynh, T.Q.; Setiono, R.