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Rudy Setiono
Rudy Setiono
Associate Professor, School of Computing, National University of Singapore
Email verificata su nus.edu.sg - Home page
Titolo
Citata da
Citata da
Anno
Chi2: Feature selection and discretization of numeric attributes
H Liu, R Setiono
Proceedings of 7th IEEE international conference on tools with artificial …, 1995
12311995
A probabilistic approach to feature selection-a filter solution
H Liu, R Setiono
ICML 96, 319-327, 1996
10221996
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
8002004
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
6452003
Effective data mining using neural networks
H Lu, R Setiono, H Liu
IEEE transactions on knowledge and data engineering 8 (6), 957-961, 1996
6041996
Neural-network feature selector
R Setiono, H Liu
IEEE transactions on neural networks 8 (3), 654-662, 1997
5201997
Feature selection via discretization
H Liu, R Setiono
IEEE Transactions on knowledge and Data Engineering 9 (4), 642-645, 1997
4671997
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
4492010
Pattern recognition via linear programming: Theory and application to medical diagnosis
WH Wolberg, O Mangasarian, TF Coleman, Y Li
Large-Scale Numerical Optimization, SIAM Publications, Citeseer, 22-30, 1990
4141990
Generating concise and accurate classification rules for breast cancer diagnosis
R Setiono
Artificial Intelligence in medicine 18 (3), 205-219, 2000
3272000
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
2701995
Computational intelligence methods for rule-based data understanding
W Duch, R Setiono, JM Zurada
Proceedings of the IEEE 92 (5), 771-805, 2004
2692004
A penalty-function approach for pruning feedforward neural networks
R Setiono
Neural computation 9 (1), 185-204, 1997
2691997
Symbolic representation of neural networks
R Setiono, H Liu
Computer 29 (3), 71-77, 1996
2651996
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
2542002
Extracting rules from neural networks by pruning and hidden-unit splitting
R Setiono
Neural Computation 9 (1), 205-225, 1997
2311997
Neurorule: A connectionist approach to data mining
H Lu, R Setiono, H Liu
arXiv preprint arXiv:1701.01358, 2017
2232017
Extracting rules from pruned neural networks for breast cancer diagnosis
R Setiono
Artificial intelligence in medicine 8 (1), 37-51, 1996
2121996
Feature selection and classification–a probabilistic wrapper approach
H Liu, R Setiono
Industrial and Engineering Applications of Artificial Intelligence and …, 1996
2101996
Incremental feature selection
H Liu, R Setiono
Applied Intelligence 9 (3), 217-230, 1998
2041998
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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