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 | 2012 | |
|---|---|---|
| c28 |      | Rudy Setiono, Alex Seret: Discrete Variable Generation for Improved Neural Network Classification. ICTAI 2012: 230-237 |
| c27 | | Arnulfo P. Azcarraga, Michael David Liu, Rudy Setiono: Keyword extraction using backpropagation neural networks and rule extraction. IJCNN 2012: 1-7 |
| 2011 | ||
| j45 | | Rudy Setiono, Bart Baesens, Christophe Mues: Rule Extraction from Minimal Neural Networks for Credit Card Screening. Int. J. Neural Syst. 21(4): 265-276 (2011) |
| j44 | | Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada: Guest Editorial White Box Nonlinear Prediction Models. IEEE Transactions on Neural Networks 22(12): 2406-2408 (2011) |
| 2010 | ||
| j43 | | Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao: Preface. Journal of Machine Learning Research - Proceedings Track 10: 1-3 (2010) |
| j42 | | Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao: Feature Selection: An Ever Evolving Frontier in Data Mining. Journal of Machine Learning Research - Proceedings Track 10: 4-13 (2010) |
| j41 | | Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono: Understanding consumer heterogeneity: A business intelligence application of neural networks. Knowl.-Based Syst. 23(8): 856-863 (2010) |
| c26 | | Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens: Software Effort Prediction Using Regression Rule Extraction from Neural Networks. ICTAI (2) 2010: 45-52 |
| c25 | | Rudy Setiono, Masahiro Tanaka: Neural Network Rule Extraction and the LED Display Recognition Problem. ICTAI (2) 2010: 53-56 |
| 2009 | ||
| j40 | | 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) |
| j39 | | Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono: Predicting consumer preference for fast-food franchises: a data mining approach. JORS 60(9): 1221-1229 (2009) |
| 2008 | ||
| j38 | | 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) |
| j37 | | 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) |
| j36 | | 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) |
| c24 | | Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono: Market research applications of artificial neural networks. IEEE Congress on Evolutionary Computation 2008: 357-363 |
| p2 | | 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 |
| p1 | | 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 |
| 2006 | ||
| c23 | | Rudy Setiono, Christophe Mues, Bart Baesens: Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. ICIS 2006: 7 |
| c22 | | 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 | ||
| j35 | | 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) |
| j34 | | 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) |
| c21 | | 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 |
| 2004 | ||
| j33 | | 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) |
| c20 | | 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 |
| c19 | | Vincent Tam, Rudy Setiono, Ardi Santoso: Applying the Conjugate Gradient Method for Text Document Categorization. ICPR (2) 2004: 558-561 |
| 2003 | ||
| j32 | | Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen: Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Management Science 49(3): 312-329 (2003) |
| c18 |  | Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono: Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) 2003: 19-25 |
| c17 | | Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono: Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling. ICIS 2003: 592-603 |
| 2002 | ||
| j31 | | Hongjun Lu, Rudy Setiono: Effective Query Size Estimation Using Neural Networks. Appl. Intell. 16(3): 173-183 (2002) |
| j30 | | Yoichi Hayashi, Rudy Setiono: Combining neural network predictions for medical diagnosis. Comp. in Bio. and Med. 32(4): 237-246 (2002) |
| j29 | | 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) |
| j28 | | Rudy Setiono, Wee Kheng Leow, Jacek M. Zurada: Extraction of rules from artificial neural networks for nonlinear regression. IEEE Transactions on Neural Networks 13(3): 564-577 (2002) |
| c16 | | 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 |
| 2001 | ||
| j27 | | Rudy Setiono: Feedforward Neural Network Construction Using Cross Validation. Neural Computation 13(12): 2865-2877 (2001) |
| c15 | | Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono: Input Selection in Data-Driven Fuzzy Modelling. FUZZ-IEEE 2001: 1251-1254 |
| c14 | | 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 |
| c13 | | Rudy Setiono, Arnulfo P. Azcarraga: An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks. ICTAI 2001: 171-178 |
| c12 | | Rudy Setiono: Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation. IWANN (1) 2001: 277-284 |
| 2000 | ||
| j26 | | Rudy Setiono, Wee Kheng Leow: FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks. Appl. Intell. 12(1-2): 15-25 (2000) |
| j25 | | Rudy Setiono: Generating concise and accurate classification rules for breast cancer diagnosis. Artificial Intelligence in Medicine 18(3): 205-219 (2000) |
| j24 | | 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) |
| j23 | | Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida: Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks. JACIII 4(4): 294-301 (2000) |
| j22 | | Rudy Setiono: Extracting M-of-N rules from trained neural networks. IEEE Trans. Neural Netw. Learning Syst. 11(2): 512-519 (2000) |
| c11 | | Wee Kheng Leow, Zhiyong Huang, Yong Zhang, Rudy Setiono: Rapid 3D Model Acquisition from Images of Small Objects. GMP 2000: 33-41 |
| c10 | | 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 |
| c9 | | Rudy Setiono, Adam E. Gaweda: Neural Network Pruning for Function Approximation. IJCNN (6) 2000: 443-448 |
| c8 | | |
| 1999 | ||
| j21 | | Rudy Setiono, Wee Kheng Leow: On mapping decision trees and neural networks. Knowl.-Based Syst. 12(3): 95-99 (1999) |
| j20 | | Wee Kheng Leow, Rudy Setiono: Explanation of the "virtual input" phenomenon. Neural Networks 12(1): 191-192 (1999) |
| j19 | | 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) |
| 1998 | ||
| j18 | | |
| j17 | | Rudy Setiono, Huan Liu: Analysis of Hidden Representations by Greedy Clustering. Connect. Sci. 10(1): 21-42 (1998) |
| j16 | | Rudy Setiono, James Y. L. Thong, Chee-Sing Yap: Symbolic rule extraction from neural networks: An application to identifying organizations adopting IT. Information & Management 34(2): 91-101 (1998) |
| c7 | | Huan Liu, Rudy Setiono: Feature Transformation and Multivariate Decision Tree Induction. Discovery Science 1998: 279-290 |
| 1997 | ||
| j15 | | Rudy Setiono: On the solution of the parity problem by a single hidden layer feedforward neural network. Neurocomputing 16(3): 225-235 (1997) |
| j14 | | Rudy Setiono, Huan Liu: NeuroLinear: From neural networks to oblique decision rules. Neurocomputing 17(1): 1-24 (1997) |
| j13 | | Rudy Setiono: A Penalty-Function Approach for Pruning Feedforward Neural Networks. Neural Computation 9(1): 185-204 (1997) |
| j12 | | Rudy Setiono: Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting. Neural Computation 9(1): 205-225 (1997) |
| j11 | | Huan Liu, Rudy Setiono: Feature Selection via Discretization. IEEE Trans. Knowl. Data Eng. 9(4): 642-645 (1997) |
| j10 | | Rudy Setiono, Huan Liu: Neural-network feature selector. IEEE Trans. Neural Netw. Learning Syst. 8(3): 654-662 (1997) |
| c6 | | |
| 1996 | ||
| j9 | | Rudy Setiono, Huan Liu: Improving Backpropagation Learning with Feature Selection. Appl. Intell. 6(2): 129-139 (1996) |
| j8 | | Rudy Setiono: Extracting rules from pruned networks for breast cancer diagnosis. Artificial Intelligence in Medicine 8(1): 37-51 (1996) |
| j7 | | Rudy Setiono, Huan Liu: Symbolic Representation of Neural Networks. IEEE Computer 29(3): 71-77 (1996) |
| j6 | | Huan Liu, Rudy Setiono: Dimensionality reduction via discretization. Knowl.-Based Syst. 9(1): 67-72 (1996) |
| j5 | | Hongjun Lu, Rudy Setiono, Huan Liu: Effective Data Mining Using Neural Networks. IEEE Trans. Knowl. Data Eng. 8(6): 957-961 (1996) |
| c5 | | |
| c4 | | Huan Liu, Rudy Setiono: Feature Selection and Classification - A Probabilistic Wrapper Approach. IEA/AIE 1996: 419-424 |
| 1995 | ||
| j4 | | Rudy Setiono: A Neural Network Construction Algorithm which Maximizes the Likelihood Function. Connect. Sci. 7(2): 147-166 (1995) |
| j3 | | 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) |
| j2 | | Rudy Setiono, Lucas Chi Kwong Hui: Use of a quasi-Newton method in a feedforward neural network construction algorithm. IEEE Trans. Neural Netw. Learning Syst. 6(1): 273-277 (1995) |
| c3 | | Hongjun Lu, Rudy Setiono, Huan Liu: Towards Effective Classfication Rule Extraction (Abstract). KDOOD/TDOOD 1995: 47-49 |
| c2 | | |
| c1 | | Hongjun Lu, Rudy Setiono, Huan Liu: NeuroRule: A Connectionist Approach to Data Mining. VLDB 1995: 478-489 |
| 1994 | ||
| j1 | | Rudy Setiono, Guojun Lu: A Neural Network Construction Algorithm with Application to Image. Neural Computing and Applications 2(2): 61-68 (1994) |
Colors in the list of coauthors
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