Rudy Setiono

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2011
67Guest Editorial White Box Nonlinear Prediction Models. Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada. IEEE Transactions on Neural Networks (22): 2406-2408 (2011). Web SearchBibTeXDownload
66Rule Extraction from Minimal Neural Networks for Credit Card Screening. Rudy Setiono, Bart Baesens, Christophe Mues. Int. J. Neural Syst. (21): 265-276 (2011). Web SearchBibTeXDownload
2010
65Software Effort Prediction Using Regression Rule Extraction from Neural Networks. Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens. ICTAI (2) 2010, 45-52. Web SearchBibTeXDownload
64Neural Network Rule Extraction and the LED Display Recognition Problem. Rudy Setiono, Masahiro Tanaka. ICTAI (2) 2010, 53-56. Web SearchBibTeXDownload
63Feature Selection: An Ever Evolving Frontier in Data Mining. Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao. Journal of Machine Learning Research - Proceedings Track (10): 4-13 (2010). Web SearchBibTeXDownload
62Understanding consumer heterogeneity: A business intelligence application of neural networks. Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono. Knowl.-Based Syst. (23): 856-863 (2010). Web SearchBibTeXDownload
2009
61A note on knowledge discovery using neural networks and its application to credit card screening. Rudy Setiono, Bart Baesens, Christophe Mues. European Journal of Operational Research (192): 326-332 (2009). Web SearchBibTeXDownload
60Predicting consumer preference for fast-food franchises: a data mining approach. Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono. JORS (60): 1221-1229 (2009). Web SearchBibTeXDownload
2008
59Market research applications of artificial neural networks. Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono. IEEE Congress on Evolutionary Computation 2008, 357-363. Web SearchBibTeXDownload
58Recursive Neural Network Rule Extraction for Data With Mixed Attributes. Rudy Setiono, Bart Baesens, Christophe Mues. IEEE Transactions on Neural Networks (19): 299-307 (2008). Web SearchBibTeXDownload
57Minerva: Sequential Covering for Rule Extraction. Johan Huysmans, Rudy Setiono, Bart Baesens, Jan Vanthienen. IEEE Transactions on Systems, Man, and Cybernetics, Part B (38): 299-309 (2008). Web SearchBibTeXDownload
56Greedy rule generation from discrete data and its use in neural network rule extraction. Koichi Odajima, Yoichi Hayashi, Rudy Setiono, Rudy Setiono. Neural Networks (21): 1020-1028 (2008). Web SearchBibTeXDownload
55Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring. David Martens, Johan Huysmans, Rudy Setiono, Jan Vanthienen, Bart Baesens. Rule Extraction from Support Vector Machines 2008, 33-63. Web SearchBibTeXDownload
54Improved SOM Labeling Methodology for Data Mining Applications. Arnulfo P. Azcarraga, Ming-Huei Hsieh, Shan Ling Pan, Rudy Setiono. Soft Computing for Knowledge Discovery and Data Mining 2008, 45-75. Web SearchBibTeXDownload
2006
53Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. Rudy Setiono, Christophe Mues, Bart Baesens. ICIS 2006, 7. Web SearchBibTeXDownload
52Greedy rule generation from discrete data and its use in neural network rule extraction. Koichi Odajima, Yoichi Hayashi, Rudy Setiono, Rudy Setiono. IJCNN 2006, 1833-1839. Web SearchBibTeXDownload
2005
51Separating core and noncore knowledge: an application of neural network rule extraction to a cross-national study of brand image perception. Rudy Setiono, S. L. Pan, Ming-Huei Hsieh, Arnulfo P. Azcarraga. IEEE Transactions on Systems, Man, and Cybernetics, Part C (35): 465-475 (2005). Web SearchBibTeXDownload
50Extracting salient dimensions for automatic SOM labeling. Arnulfo P. Azcarraga, Ming-Huei Hsieh, S. L. Pan, Rudy Setiono. IEEE Transactions on Systems, Man, and Cybernetics, Part C (35): 595-600 (2005). Web SearchBibTeXDownload
49From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables. Christophe Mues, Bart Baesens, Rudy Setiono, Jan Vanthienen. Wissensmanagement (LNCS Volume) 2005, 483-495. Web SearchBibTeXDownload
2004
48An approach to generate rules from neural networks for regression problems. Rudy Setiono, James Y. L. Thong. European Journal of Operational Research (155): 239-250 (2004). Web SearchBibTeXDownload
47A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression. Wu Wei, Liu Xin, Xu Min, Peng Jinrong, Rudy Setiono. ICPR (2) 2004, 323-326. Web SearchBibTeXDownload
46Applying the Conjugate Gradient Method for Text Document Categorization. Vincent Tam, Rudy Setiono, Ardi Santoso. ICPR (2) 2004, 558-561. Web SearchBibTeXDownload
2003
45Building Intelligent Credit Scoring Systems Using Decision Tables. Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono. ICEIS (2) 2003, 19-25. Web SearchBibTeX
44Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling. Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono. ICIS 2003, 592-603. Web SearchBibTeXDownload
43Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen. Management Science (49): 312-329 (2003). Web SearchBibTeXDownload
2002
42Effective Query Size Estimation Using Neural Networks. Hongjun Lu, Rudy Setiono. Appl. Intell. (16): 173-183 (2002). Web SearchBibTeXDownload
41A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization. Vincent Tam, Ardi Santoso, Rudy Setiono. ICPR (4) 2002, 235-238. Web SearchBibTeXDownload
40Generating Concise Sets of Linear Regression Rules from Artificial Neural Networks. Rudy Setiono, Arnulfo P. Azcarraga. International Journal on Artificial Intelligence Tools (11): 189-202 (2002). Web SearchBibTeXDownload
2001
39Input Selection in Data-Driven Fuzzy Modelling. Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono. FUZZ-IEEE 2001, 1251-1254. Web SearchBibTeX
38Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. Bart Baesens, Rudy Setiono, Christophe Mues, Stijn Viaene, Jan Vanthienen. ICIS 2001, 159-168. Web SearchBibTeXDownload
37An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks. Rudy Setiono, Arnulfo P. Azcarraga. ICTAI 2001, 171-178. Web SearchBibTeXDownload
36Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation. Rudy Setiono. IWANN (1) 2001, 277-284. Web SearchBibTeXDownload
35Feedforward Neural Network Construction Using Cross Validation. Rudy Setiono. Neural Computation (13): 2865-2877 (2001). Web SearchBibTeXDownload
2000
34FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks. Rudy Setiono, Wee Kheng Leow. Appl. Intell. (12): 15-25 (2000). Web SearchBibTeXDownload
33A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida. Artificial Intelligence in Medicine (20): 205-216 (2000). Web SearchBibTeXDownload
32Generating concise and accurate classification rules for breast cancer diagnosis. Rudy Setiono. Artificial Intelligence in Medicine (18): 205-219 (2000). Web SearchBibTeXDownload
31Rapid 3D Model Acquisition from Images of Small Objects. Wee Kheng Leow, Zhiyong Huang, Yong Zhang, Rudy Setiono. GMP 2000, 33-41. Web SearchBibTeXDownload
30Opening the neural network black box: an algorithm for extracting rules from function approximating artificial neural networks. Rudy Setiono, Wee Kheng Leow, James Y. L. Thong. ICIS 2000, 176-186. Web SearchBibTeXDownload
29Neural Network Pruning for Function Approximation. Rudy Setiono, Adam E. Gaweda. IJCNN (6) 2000, 443-448. Web SearchBibTeXDownload
28Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks. Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida. JACIII (4): 294-301 (2000). Web SearchBibTeXDownload
27Pruned Neural Networks for Regression. Rudy Setiono, Wee Kheng Leow. PRICAI 2000, 500-509. Web SearchBibTeXDownload
1999
26A connectionist approach to generating oblique decision trees. Rudy Setiono, Huan Liu. IEEE Transactions on Systems, Man, and Cybernetics, Part B (29): 440-444 (1999). Web SearchBibTeXDownload
25On mapping decision trees and neural networks. Rudy Setiono, Wee Kheng Leow. Knowl.-Based Syst. (12): 95-99 (1999). Web SearchBibTeXDownload
24Explanation of the "virtual input" phenomenon. Wee Kheng Leow, Rudy Setiono. Neural Networks (12): 191-192 (1999). Web SearchBibTeXDownload
1998
23Incremental Feature Selection. Huan Liu, Rudy Setiono. Appl. Intell. (9): 217-230 (1998). Web SearchBibTeXDownload
22Analysis of Hidden Representations by Greedy Clustering. Rudy Setiono, Huan Liu. Connect. Sci. (10): 21-42 (1998). Web SearchBibTeXDownload
21Feature Transformation and Multivariate Decision Tree Induction. Huan Liu, Rudy Setiono. Discovery Science 1998, 279-290. Web SearchBibTeXDownload
20Symbolic rule extraction from neural networks: An application to identifying organizations adopting IT. Rudy Setiono, James Y. L. Thong, Chee-Sing Yap. Information & Management (34): 91-101 (1998). Web SearchBibTeXDownload
1997
19NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks. Rudy Setiono, Huan Liu. ECML 1997, 221-233. Web SearchBibTeXDownload
18Feature Selection via Discretization. Huan Liu, Rudy Setiono. IEEE Trans. Knowl. Data Eng. (9): 642-645 (1997). Web SearchBibTeXDownload
17A Penalty-Function Approach for Pruning Feedforward Neural Networks. Rudy Setiono. Neural Computation (9): 185-204 (1997). Web SearchBibTeXDownload
16Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting. Rudy Setiono. Neural Computation (9): 205-225 (1997). Web SearchBibTeXDownload
15NeuroLinear: From neural networks to oblique decision rules. Rudy Setiono, Huan Liu. Neurocomputing (17): 1-24 (1997). Web SearchBibTeXDownload
14On the solution of the parity problem by a single hidden layer feedforward neural network. Rudy Setiono. Neurocomputing (16): 225-235 (1997). Web SearchBibTeXDownload
1996
13Improving Backpropagation Learning with Feature Selection. Rudy Setiono, Huan Liu. Appl. Intell. (6): 129-139 (1996). Web SearchBibTeXDownload
12Extracting rules from pruned networks for breast cancer diagnosis. Rudy Setiono. Artificial Intelligence in Medicine (8): 37-51 (1996). Web SearchBibTeXDownload
11A Probabilistic Approach to Feature Selection - A Filter Solution. Huan Liu, Rudy Setiono. ICML 1996, 319-327. Web SearchBibTeX
10Feature Selection and Classification - A Probabilistic Wrapper Approach. Huan Liu, Rudy Setiono. IEA/AIE 1996, 419-424. Web SearchBibTeX
9Symbolic Representation of Neural Networks. Rudy Setiono, Huan Liu. IEEE Computer (29): 71-77 (1996). Web SearchBibTeXDownload
8Effective Data Mining Using Neural Networks. Hongjun Lu, Rudy Setiono, Huan Liu. IEEE Trans. Knowl. Data Eng. (8): 957-961 (1996). Web SearchBibTeXDownload
7Dimensionality reduction via discretization. Huan Liu, Rudy Setiono. Knowl.-Based Syst. (9): 67-72 (1996). Web SearchBibTeXDownload
1995
6A Neural Network Construction Algorithm which Maximizes the Likelihood Function. Rudy Setiono. Connect. Sci. (7): 147-166 (1995). Web SearchBibTeXDownload
5Understanding Neural Networks via Rule Extraction. Rudy Setiono, Huan Liu. IJCAI 1995, 480-487. Web SearchBibTeX
4Efficient Neural Network Training on a Cray y-MP. Siu Leung Chung, Rudy Setiono. International Journal of High Speed Computing (7): 109-123 (1995). Web SearchBibTeXDownload
3Towards Effective Classfication Rule Extraction (Abstract). Hongjun Lu, Rudy Setiono, Huan Liu. KDOOD/TDOOD 1995, 47-49. Web SearchBibTeX
2NeuroRule: A Connectionist Approach to Data Mining. Hongjun Lu, Rudy Setiono, Huan Liu. VLDB 1995, 478-489. Web SearchBibTeX
1994
1A Neural Network Construction Algorithm with Application to Image. Rudy Setiono, Guojun Lu. Neural Computing and Applications (2): 61-68 (1994). Web SearchBibTeXDownload
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References
1. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
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