Rudy Setiono
Rudy Setiono
Associate Professor, School of Computing, National University of Singapore
在 nus.edu.sg 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Chi2: Feature selection and discretization of numeric attributes
H Liu, R Setiono
Proceedings of 7th IEEE International Conference on Tools with Artificial …, 1995
11271995
A probabilistic approach to feature selection-a filter solution
H Liu, R Setiono
ICML 96, 319-327, 1996
9831996
Product-, corporate-, and country-image dimensions and purchase behavior: A multicountry analysis
MH Hsieh, SL Pan, R Setiono
Journal of the Academy of marketing Science 32 (3), 251-270, 2004
7062004
Using neural network rule extraction and decision tables for credit-risk evaluation
B Baesens, R Setiono, C Mues, J Vanthienen
Management science 49 (3), 312-329, 2003
5952003
Effective data mining using neural networks
H Lu, R Setiono, H Liu
IEEE transactions on knowledge and data engineering 8 (6), 957-961, 1996
5741996
Neural-network feature selector
R Setiono, H Liu
IEEE transactions on neural networks 8 (3), 654-662, 1997
5021997
Feature selection via discretization
H Liu, R Setiono
IEEE Transactions on knowledge and Data Engineering 9 (4), 642-645, 1997
4531997
Feature selection: An ever evolving frontier in data mining
H Liu, H Motoda, R Setiono, Z Zhao
Feature selection in data mining, 4-13, 2010
4132010
Pattern recognition via linear programming: Theory and application to medical diagnosis
OL Mangasarian, R Setiono, WH Wolberg
3911990
Generating concise and accurate classification rules for breast cancer diagnosis
R Setiono
Artificial Intelligence in medicine 18 (3), 205-219, 2000
3172000
A penalty-function approach for pruning feedforward neural networks
R Setiono
Neural computation 9 (1), 185-204, 1997
2681997
Symbolic representation of neural networks
R Setiono, H Liu
Computer 29 (3), 71-77, 1996
2671996
Computational intelligence methods for rule-based data understanding
W Duch, R Setiono, JM Zurada
Proceedings of the IEEE 92 (5), 771-805, 2004
2622004
Use of a quasi-Newton method in a feedforward neural network construction algorithm
R Setiono, LCK Hui
IEEE Transactions on Neural Networks 6 (1), 273-277, 1995
2551995
Extraction of rules from artificial neural networks for nonlinear regression
R Setiono, WK Leow, JM Zurada
IEEE transactions on neural networks 13 (3), 564-577, 2002
2452002
Extracting rules from neural networks by pruning and hidden-unit splitting
R Setiono
Neural Computation 9 (1), 205-225, 1997
2291997
Extracting rules from pruned neural networks for breast cancer diagnosis
R Setiono
Artificial intelligence in medicine 8 (1), 37-51, 1996
2131996
Neurorule: A connectionist approach to data mining
H Lu, R Setiono, H Liu
arXiv preprint arXiv:1701.01358, 2017
2122017
Feature selection and classification-a probabilistic wrapper approach
H Liu, R Setiono
Proceedings of 9th International Conference on Industrial and Engineering …, 1997
1981997
Understanding neural networks via rule extraction
R Setiono, H Liu
IJCAI 1, 480-485, 1995
1881995
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