| Rudy SETIONO |
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| Dr. Rudy Setiono
is Associate Professor in the School of Computing at the National
University of Singapore. He received a B.S. degree in Computer Science
(1984) from Eastern Michigan University, and M.S. (1986) and Ph.D.
degrees (1990) in Computer Science from the University of Wisconsin-Madison.
Since August 1990, he has been with the National University of Singapore.
Dr. Setiono's research interests
include unconstrained optimization, neural network construction
and pruning, and rule extraction from neural networks and its applications.
He has published in reputable international
journals such as SIAM Journal on Control and Optimization, European
Journal of Operational Research, Journal of Optimization Theory
and Applications, IEEE Transactions on Neural Networks, IEEE Transactions
on Data and Knowledge Engineering, IEEE Transactions on Systems,
Man, and Cybernetics, Neural Computation, Neurocomputing, and Connection
Science. |
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| Research Interests
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Unconstrained optimization,
neural network construction and pruning, and rule extraction from
neural networks and its applications. |
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| Current Projects |
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Application of neural networks
in business. |
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| Selected Publications
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W. Duch, R. Setiono
and J. Zurada. Computational intelligence methods for rule-based
data understanding, Proceedings of the IEEE, forthcoming.
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R. Setiono and J.
Thong. An approach to generate rules from neural networks for regression
problems, European Journal of Operational Research, Vol.
155, No. 1, pages 239-250, 2004. |
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M. Xu and R. Setiono.
Gene selection for cancer classification using a hybrid of univariate
and multivariate feature selection methods, Applied Genomics
and Proteomics, Vol. 2, No. 2, 2003, pages 79-91. |
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B. Baesens, R. Setiono, C. Mues
and J. Vanthienen. Using neural network rule extraction and decision
tables for credit risk evaluation, Management Science,
Vol. 49, No. 3, 2003, pages 312-329. |
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| R. Setiono and A. Azcarraga. Generating concise sets
of linear regression rules from artificial neural networks, Journal
on Artificial Intelligence Tools, Vol. 11, No. 2, 2002, pages
189-202. |
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| Y. Hayashi and R. Setiono. Combining neural network
predictions for medical diagnosis, Computers in Biology and Medicine,
Vol. 32, 2002, pages 237-246. |
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| R. Setiono, W.K. Leow and J.M. Zurada. Extraction
of rules from artificial neural networks for nonlinear regression, IEEE
Transactions on Neural Networks, 2002, Vol. 13, No. 3, pages
564-577. |
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| Teaching |
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| CS5264: Decision Making Technologies |
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| Rudy
SETIONO |
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Associate Professor
BSc (Eastern Michigan),
MSc, PhD (Wisconsin-Madison).
Tel: (65) 6516-6297
Fax: (65) 6779-7365
E-mail: [rudys@comp.nus.edu.sg]
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