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Rudy Setiono: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hongjun Lu, Rudy Setiono, Huan Liu
    NeuroRule: A Connectionist Approach to Data Mining. [Citation Graph (4, 6)][DBLP]
    VLDB, 1995, pp:478-489 [Conf]
  2. Huan Liu, Rudy Setiono
    A Probabilistic Approach to Feature Selection - A Filter Solution. [Citation Graph (1, 0)][DBLP]
    ICML, 1996, pp:319-327 [Conf]
  3. Huan Liu, Rudy Setiono
    Feature Transformation and Multivariate Decision Tree Induction. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:279-290 [Conf]
  4. Hongjun Lu, Rudy Setiono, Huan Liu
    Towards Effective Classfication Rule Extraction (Abstract). [Citation Graph (0, 0)][DBLP]
    KDOOD/TDOOD, 1995, pp:47-49 [Conf]
  5. Rudy Setiono, Huan Liu
    NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks. [Citation Graph (0, 0)][DBLP]
    ECML, 1997, pp:221-233 [Conf]
  6. Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono
    Input Selection in Data-Driven Fuzzy Modelling. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:1251-1254 [Conf]
  7. Wee Kheng Leow, Zhiyong Huang, Yong Zhang, Rudy Setiono
    Rapid 3D Model Acquisition from Images of Small Objects. [Citation Graph (0, 0)][DBLP]
    GMP, 2000, pp:33-41 [Conf]
  8. Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono
    Building Intelligent Credit Scoring Systems Using Decision Tables. [Citation Graph (0, 0)][DBLP]
    ICEIS (2), 2003, pp:19-25 [Conf]
  9. Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono
    Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling. [Citation Graph (0, 0)][DBLP]
    ICIS, 2003, pp:592-603 [Conf]
  10. Bart Baesens, Rudy Setiono, Christophe Mues, Stijn Viaene, Jan Vanthienen
    Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. [Citation Graph (0, 0)][DBLP]
    ICIS, 2001, pp:159-168 [Conf]
  11. 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. [Citation Graph (0, 0)][DBLP]
    ICIS, 2000, pp:176-186 [Conf]
  12. Vincent Tam, Ardi Santoso, Rudy Setiono
    A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2002, pp:235-238 [Conf]
  13. Vincent Tam, Rudy Setiono, Ardi Santoso
    Applying the Conjugate Gradient Method for Text Document Categorization. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:558-561 [Conf]
  14. Wu Wei, Liu Xin, Xu Min, Peng Jinrong, Rudy Setiono
    A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:323-326 [Conf]
  15. Rudy Setiono, Arnulfo P. Azcarraga
    An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2001, pp:171-178 [Conf]
  16. Rudy Setiono, Huan Liu
    Understanding Neural Networks via Rule Extraction. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:480-487 [Conf]
  17. Rudy Setiono, Adam E. Gaweda
    Neural Network Pruning for Function Approximation. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:443-448 [Conf]
  18. Rudy Setiono
    Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:277-284 [Conf]
  19. Rudy Setiono, Wee Kheng Leow
    Pruned Neural Networks for Regression. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:500-509 [Conf]
  20. 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. [Citation Graph (0, 0)][DBLP]
    Wissensmanagement (LNCS Volume), 2005, pp:483-495 [Conf]
  21. Huan Liu, Rudy Setiono
    Incremental Feature Selection. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1998, v:9, n:3, pp:217-230 [Journal]
  22. Hongjun Lu, Rudy Setiono
    Effective Query Size Estimation Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2002, v:16, n:3, pp:173-183 [Journal]
  23. Rudy Setiono, Wee Kheng Leow
    FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2000, v:12, n:1-2, pp:15-25 [Journal]
  24. Rudy Setiono, Huan Liu
    Improving Backpropagation Learning with Feature Selection. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1996, v:6, n:2, pp:129-139 [Journal]
  25. Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida
    A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2000, v:20, n:3, pp:205-216 [Journal]
  26. Rudy Setiono
    Generating concise and accurate classification rules for breast cancer diagnosis. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2000, v:18, n:3, pp:205-219 [Journal]
  27. Rudy Setiono
    Extracting rules from pruned networks for breast cancer diagnosis. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1996, v:8, n:1, pp:37-51 [Journal]
  28. Rudy Setiono, Huan Liu
    Symbolic Representation of Neural Networks. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 1996, v:29, n:3, pp:71-77 [Journal]
  29. Rudy Setiono
    A Neural Network Construction Algorithm which Maximizes the Likelihood Function. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1995, v:7, n:2, pp:147-166 [Journal]
  30. Rudy Setiono, Huan Liu
    Analysis of Hidden Representations by Greedy Clustering. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1998, v:10, n:1, pp:21-42 [Journal]
  31. Rudy Setiono, Arnulfo P. Azcarraga
    Generating Concise Sets of Linear Regression Rules from Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2002, v:11, n:2, pp:189-202 [Journal]
  32. Rudy Setiono
    On the solution of the parity problem by a single hidden layer feedforward neural network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:16, n:3, pp:225-235 [Journal]
  33. Rudy Setiono, Huan Liu
    NeuroLinear: From neural networks to oblique decision rules. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:17, n:1, pp:1-24 [Journal]
  34. Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida
    Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:4, pp:294-301 [Journal]
  35. Huan Liu, Rudy Setiono
    Dimensionality reduction via discretization. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1996, v:9, n:1, pp:67-72 [Journal]
  36. Rudy Setiono, Wee Kheng Leow
    On mapping decision trees and neural networks. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1999, v:12, n:3, pp:95-99 [Journal]
  37. Rudy Setiono, Guojun Lu
    A Neural Network Construction Algorithm with Application to Image. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1994, v:2, n:2, pp:61-68 [Journal]
  38. Rudy Setiono
    Feedforward Neural Network Construction Using Cross Validation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:12, pp:2865-2877 [Journal]
  39. Rudy Setiono
    A Penalty-Function Approach for Pruning Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:1, pp:185-204 [Journal]
  40. Rudy Setiono
    Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:1, pp:205-225 [Journal]
  41. Wee Kheng Leow, Rudy Setiono
    Explanation of the "virtual input" phenomenon. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:1, pp:191-192 [Journal]
  42. Hongjun Lu, Rudy Setiono, Huan Liu
    Effective Data Mining Using Neural Networks. [Citation Graph (0, 3)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1996, v:8, n:6, pp:957-961 [Journal]
  43. Huan Liu, Rudy Setiono
    Feature Selection via Discretization. [Citation Graph (0, 7)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1997, v:9, n:4, pp:642-645 [Journal]
  44. Arnulfo P. Azcarraga, Ming-Huei Hsieh, S. L. Pan, Rudy Setiono
    Extracting salient dimensions for automatic SOM labeling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:4, pp:595-600 [Journal]
  45. Rudy Setiono, Huan Liu
    A connectionist approach to generating oblique decision trees. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:3, pp:440-444 [Journal]
  46. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:4, pp:465-475 [Journal]
  47. Rudy Setiono, James Y. L. Thong
    An approach to generate rules from neural networks for regression problems. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2004, v:155, n:1, pp:239-250 [Journal]

  48. Feature Selection and Classification - A Probabilistic Wrapper Approach. [Citation Graph (, )][DBLP]


  49. Greedy rule generation from discrete data and its use in neural network rule extraction. [Citation Graph (, )][DBLP]


  50. Market research applications of artificial neural networks. [Citation Graph (, )][DBLP]


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