 | 2009 |
|---|
| 57 |       | Rudy Setiono,
Bart Baesens,
Christophe Mues:
A note on knowledge discovery using neural networks and its application to credit card screening.
European Journal of Operational Research 192(1): 326-332 (2009) |
| 2008 |
|---|
| 56 | | Arnulfo P. Azcarraga,
Ming-Huei Hsieh,
Rudy Setiono:
Market research applications of artificial neural networks.
IEEE Congress on Evolutionary Computation 2008: 357-363 |
| 55 | | David Martens,
Johan Huysmans,
Rudy Setiono,
Jan Vanthienen,
Bart Baesens:
Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring.
Rule Extraction from Support Vector Machines 2008: 33-63 |
| 54 | | Arnulfo P. Azcarraga,
Ming-Huei Hsieh,
Shan-Ling Pan,
Rudy Setiono:
Improved SOM Labeling Methodology for Data Mining Applications.
Soft Computing for Knowledge Discovery and Data Mining 2008: 45-75 |
| 53 | | Rudy Setiono,
Bart Baesens,
Christophe Mues:
Recursive Neural Network Rule Extraction for Data With Mixed Attributes.
IEEE Transactions on Neural Networks 19(2): 299-307 (2008) |
| 52 | | Johan Huysmans,
Rudy Setiono,
Bart Baesens,
Jan Vanthienen:
Minerva: Sequential Covering for Rule Extraction.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(2): 299-309 (2008) |
| 51 | | Koichi Odajima,
Yoichi Hayashi,
Gong Tianxia,
Rudy Setiono:
Greedy rule generation from discrete data and its use in neural network rule extraction.
Neural Networks 21(7): 1020-1028 (2008) |
| 2006 |
|---|
| 50 | | Koichi Odajima,
Yoichi Hayashi,
Rudy Setiono:
Greedy rule generation from discrete data and its use in neural network rule extraction.
IJCNN 2006: 1833-1839 |
| 2005 |
|---|
| 49 | | Christophe Mues,
Bart Baesens,
Rudy Setiono,
Jan Vanthienen:
From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables.
Wissensmanagement (LNCS Volume) 2005: 483-495 |
| 48 | | Rudy Setiono,
S. L. Pan,
Ming-Huei Hsieh,
Arnulfo P. Azcarraga:
Separating core and noncore knowledge: an application of neural network rule extraction to a cross-national study of brand image perception.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(4): 465-475 (2005) |
| 47 | | Arnulfo P. Azcarraga,
Ming-Huei Hsieh,
S. L. Pan,
Rudy Setiono:
Extracting salient dimensions for automatic SOM labeling.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(4): 595-600 (2005) |
| 2004 |
|---|
| 46 | | Wu Wei,
Liu Xin,
Xu Min,
Peng Jinrong,
Rudy Setiono:
A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression.
ICPR (2) 2004: 323-326 |
| 45 | | Vincent Tam,
Rudy Setiono,
Ardi Santoso:
Applying the Conjugate Gradient Method for Text Document Categorization.
ICPR (2) 2004: 558-561 |
| 44 | | Rudy Setiono,
James Y. L. Thong:
An approach to generate rules from neural networks for regression problems.
European Journal of Operational Research 155(1): 239-250 (2004) |
| 2003 |
|---|
| 43 |  | Bart Baesens,
Christophe Mues,
Manu De Backer,
Jan Vanthienen,
Rudy Setiono:
Building Intelligent Credit Scoring Systems Using Decision Tables.
ICEIS (2) 2003: 19-25 |
| 42 | | Arnulfo P. Azcarraga,
Ming-Huei Hsieh,
Rudy Setiono:
Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling.
ICIS 2003: 592-603 |
| 2002 |
|---|
| 41 | | Vincent Tam,
Ardi Santoso,
Rudy Setiono:
A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization.
ICPR (4) 2002: 235-238 |
| 40 | | Hongjun Lu,
Rudy Setiono:
Effective Query Size Estimation Using Neural Networks.
Appl. Intell. 16(3): 173-183 (2002) |
| 39 | | Rudy Setiono,
Arnulfo P. Azcarraga:
Generating Concise Sets of Linear Regression Rules from Artificial Neural Networks.
International Journal on Artificial Intelligence Tools 11(2): 189-202 (2002) |
| 2001 |
|---|
| 38 | | Adam E. Gaweda,
Jacek M. Zurada,
Rudy Setiono:
Input Selection in Data-Driven Fuzzy Modelling.
FUZZ-IEEE 2001: 1251-1254 |
| 37 | | Bart Baesens,
Rudy Setiono,
Christophe Mues,
Stijn Viaene,
Jan Vanthienen:
Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables.
ICIS 2001: 159-168 |
| 36 | | Rudy Setiono,
Arnulfo P. Azcarraga:
An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks.
ICTAI 2001: 171-178 |
| 35 | | Rudy Setiono:
Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation.
IWANN (1) 2001: 277-284 |
| 34 | | Rudy Setiono:
Feedforward Neural Network Construction Using Cross Validation.
Neural Computation 13(12): 2865-2877 (2001) |
| 2000 |
|---|
| 33 | | Wee Kheng Leow,
Zhiyong Huang,
Yong Zhang,
Rudy Setiono:
Rapid 3D Model Acquisition from Images of Small Objects.
GMP 2000: 33-41 |
| 32 | | Rudy Setiono,
Wee Kheng Leow,
James Y. L. Thong:
Opening the neural network black box: an algorithm for extracting rules from function approximating artificial neural networks.
ICIS 2000: 176-186 |
| 31 | | Rudy Setiono,
Adam E. Gaweda:
Neural Network Pruning for Function Approximation.
IJCNN (6) 2000: 443-448 |
| 30 | | Rudy Setiono,
Wee Kheng Leow:
Pruned Neural Networks for Regression.
PRICAI 2000: 500-509 |
| 29 | | Rudy Setiono,
Wee Kheng Leow:
FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks.
Appl. Intell. 12(1-2): 15-25 (2000) |
| 28 | | Rudy Setiono:
Generating concise and accurate classification rules for breast cancer diagnosis.
Artificial Intelligence in Medicine 18(3): 205-219 (2000) |
| 27 | | Yoichi Hayashi,
Rudy Setiono,
Katsumi Yoshida:
A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders.
Artificial Intelligence in Medicine 20(3): 205-216 (2000) |
| 26 | | Yoichi Hayashi,
Rudy Setiono,
Katsumi Yoshida:
Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks.
JACIII 4(4): 294-301 (2000) |
| 1999 |
|---|
| 25 | | Rudy Setiono,
Huan Liu:
A connectionist approach to generating oblique decision trees.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(3): 440-444 (1999) |
| 24 | | Rudy Setiono,
Wee Kheng Leow:
On mapping decision trees and neural networks.
Knowl.-Based Syst. 12(3): 95-99 (1999) |
| 23 | | Wee Kheng Leow,
Rudy Setiono:
Explanation of the "virtual input" phenomenon.
Neural Networks 12(1): 191-192 (1999) |
| 1998 |
|---|
| 22 | | Huan Liu,
Rudy Setiono:
Feature Transformation and Multivariate Decision Tree Induction.
Discovery Science 1998: 279-290 |
| 21 | | Huan Liu,
Rudy Setiono:
Incremental Feature Selection.
Appl. Intell. 9(3): 217-230 (1998) |
| 20 | | Rudy Setiono,
Huan Liu:
Analysis of Hidden Representations by Greedy Clustering.
Connect. Sci. 10(1): 21-42 (1998) |
| 1997 |
|---|
| 19 | | Rudy Setiono,
Huan Liu:
NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks.
ECML 1997: 221-233 |
| 18 | | Huan Liu,
Rudy Setiono:
Feature Selection via Discretization.
IEEE Trans. Knowl. Data Eng. 9(4): 642-645 (1997) |
| 17 | | Rudy Setiono:
A Penalty-Function Approach for Pruning Feedforward Neural Networks.
Neural Computation 9(1): 185-204 (1997) |
| 16 | | Rudy Setiono:
Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting.
Neural Computation 9(1): 205-225 (1997) |
| 15 | | Rudy Setiono:
On the solution of the parity problem by a single hidden layer feedforward neural network.
Neurocomputing 16(3): 225-235 (1997) |
| 14 | | Rudy Setiono,
Huan Liu:
NeuroLinear: From neural networks to oblique decision rules.
Neurocomputing 17(1): 1-24 (1997) |
| 1996 |
|---|
| 13 | | Huan Liu,
Rudy Setiono:
A Probabilistic Approach to Feature Selection - A Filter Solution.
ICML 1996: 319-327 |
| 12 | | Huan Liu,
Rudy Setiono:
Feature Selection and Classification - A Probabilistic Wrapper Approach.
IEA/AIE 1996: 419-424 |
| 11 | | Rudy Setiono,
Huan Liu:
Improving Backpropagation Learning with Feature Selection.
Appl. Intell. 6(2): 129-139 (1996) |
| 10 | | Rudy Setiono:
Extracting rules from pruned networks for breast cancer diagnosis.
Artificial Intelligence in Medicine 8(1): 37-51 (1996) |
| 9 | | Rudy Setiono,
Huan Liu:
Symbolic Representation of Neural Networks.
IEEE Computer 29(3): 71-77 (1996) |
| 8 | | Hongjun Lu,
Rudy Setiono,
Huan Liu:
Effective Data Mining Using Neural Networks.
IEEE Trans. Knowl. Data Eng. 8(6): 957-961 (1996) |
| 7 | | Huan Liu,
Rudy Setiono:
Dimensionality reduction via discretization.
Knowl.-Based Syst. 9(1): 67-72 (1996) |
| 1995 |
|---|
| 6 | | Rudy Setiono,
Huan Liu:
Understanding Neural Networks via Rule Extraction.
IJCAI 1995: 480-487 |
| 5 | | Hongjun Lu,
Rudy Setiono,
Huan Liu:
Towards Effective Classfication Rule Extraction (Abstract).
KDOOD/TDOOD 1995: 47-49 |
| 4 | | Hongjun Lu,
Rudy Setiono,
Huan Liu:
NeuroRule: A Connectionist Approach to Data Mining.
VLDB 1995: 478-489 |
| 3 | | Rudy Setiono:
A Neural Network Construction Algorithm which Maximizes the Likelihood Function.
Connect. Sci. 7(2): 147-166 (1995) |
| 2 | | Siu Leung Chung,
Rudy Setiono:
Efficient Neural Network Training on a Cray y-MP.
International Journal of High Speed Computing 7(1): 109-123 (1995) |
| 1994 |
|---|
| 1 | | Rudy Setiono,
Guojun Lu:
A Neural Network Construction Algorithm with Application to Image.
Neural Computing and Applications 2(2): 61-68 (1994) |
