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SETIONO,RUDY
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Showing results 59 to 75 of 75
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Issue Date
Title
Author(s)
2008
Recursive neural network rule extraction for data with mixed attributes
Setiono, R.
;
Baesens, B.
;
Mues, C.
2006
Risk management and regulatory compliance: A data mining framework based on neural network rule extraction
Setiono, R.
;
Mues, C.
;
Baesens, B.
2011
Rule extraction from minimal neural networks for credit card screening
Setiono, R.
;
Baesens, B.
;
Mues, C.
2012
Rule Extraction from Neural Networks and Support Vector Machines for Credit Scoring
Setiono, R.
;
Baesens, B.
;
Martens, D.
2008
Rule extraction from support vector machines: An overview of issues and application in credit scoring
Martens, D.
;
Huysmans, J.
;
Setiono, R.
;
Vanthienen, J.
;
Baesens, B.
2005
Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception
Setiono, R.
;
Pan, S.L.
;
Hsieh, M.-H.
;
Azcarraga, A.P.
2010
Software effort prediction using regression rule extraction from neural networks
Setiono, R.
;
Dejaeger, K.
;
Verbeke, W.
;
Martens, D.
;
Baesens, B.
Oct-1998
Some issues on scalable feature selection
Liu, H.
;
Setiono, R.
1993
Some n-bit parity problems are solvable by feed-forward networks with less than n hidden units
Setiono, Rudy
;
Hui, Lucas Chi Kwong
2010
Special issue of IEEE transactions on neural networks: White box non-linear prediction models
Bart, B.
;
David, M.
;
Rudy, S.
;
Jacek, Z.
2010
Special issue of the IEEE transactions on neural networks: White box nonlinear prediction models
Baesens, B.
;
Martens, D.
;
Setiono, R.
;
Zurada, J.
2010
Special issue on white box nonlinear prediction models
Baesens, B.
;
Martens, D.
;
Setiono, R.
;
Zurada, J.
Mar-1996
Symbolic representation of neural networks
Setiono, R.
;
Liu, H.
10-Sep-1998
Symbolic rule extraction from neural networks An application to identifying organizations adopting IT
Setiono, R.
;
Thong, J.Y.L.
;
Yap, C.-S.
2010
Understanding consumer heterogeneity: A business intelligence application of neural networks
Hayashi, Y.
;
Hsieh, M.-H.
;
Setiono, R.
Jan-1995
Use of a quasi-Newton method in a feedforward neural network construction algorithm
Setiono, Rudy
;
Hui, Lucas Chi Kwong
2003
Using neural network rule extraction and decision tables for credit-risk evaluation
Baesens, B.
;
Setiono, R.
;
Mues, C.
;
Vanthienen, J.