Rudy Setiono

Publication Activity (10 Years)

Years Active: 1994-2018
Publications (10 Years): 4

Top Topics

Sample Selection

Rule Extraction

Top Venues

Int. J. Comput. Intell. Appl.

Neural Comput. Appl.

Publications

Arnulfo P. Azcarraga, Rudy Setiono
Neural network rule extraction for gaining insight into the characteristics of poverty. Neural Comput. Appl. 30 (9) (2018)
Hongjun Lu, Rudy Setiono, Huan Liu
NeuroRule: A Connectionist Approach to Data Mining. CoRR (2017)
Yoichi Hayashi, Rudy Setiono, Arnulfo P. Azcarraga
Neural network training and rule extraction with augmented discretized input. Neurocomputing 207 (2016)
Arnulfo P. Azcarraga, Arturo Caronongan, Rudy Setiono, Sean Manalili
Validating the stable clustering of songs in a structured 3D SOM. IJCNN (2016)
Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi
Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications. Int. J. Comput. Intell. Appl. 14 (4) (2015)
Min Xu, Rudy Setiono
Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods. CoRR (2015)
Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi
MofN rule extraction from neural networks trained with augmented discretized input. IJCNN (2014)
Arnulfo P. Azcarraga, Paolo Tensuan, Rudy Setiono
Tagging documents using neural networks based on local word features. IJCNN (2014)
Rudy Setiono, Alex Seret
Discrete Variable Generation for Improved Neural Network Classification. ICTAI (2012)
Arnulfo P. Azcarraga, Michael David Liu, Rudy Setiono
Keyword extraction using backpropagation neural networks and rule extraction. IJCNN (2012)
Rudy Setiono, Bart Baesens, Christophe Mues
Rule Extraction from Minimal Neural Networks for Credit Card Screening. Int. J. Neural Syst. 21 (4) (2011)
Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada
Guest Editorial White Box Nonlinear Prediction Models. IEEE Trans. Neural Networks 22 (12) (2011)
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
Preface. FSDM (2010)
Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens
Software Effort Prediction Using Regression Rule Extraction from Neural Networks. ICTAI (2) (2010)
Rudy Setiono, Masahiro Tanaka
Neural Network Rule Extraction and the LED Display Recognition Problem. ICTAI (2) (2010)
Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono
Understanding consumer heterogeneity: A business intelligence application of neural networks. Knowl. Based Syst. 23 (8) (2010)
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
Feature Selection: An Ever Evolving Frontier in Data Mining. FSDM (2010)
Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono
Predicting consumer preference for fast-food franchises: a data mining approach. J. Oper. Res. Soc. 60 (9) (2009)
Rudy Setiono, Bart Baesens, Christophe Mues
A note on knowledge discovery using neural networks and its application to credit card screening. Eur. J. Oper. Res. 192 (1) (2009)
Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono
Market research applications of artificial neural networks. IEEE Congress on Evolutionary Computation (2008)
Rudy Setiono, Bart Baesens, Christophe Mues
Recursive Neural Network Rule Extraction for Data With Mixed Attributes. IEEE Trans. Neural Networks 19 (2) (2008)
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) (2008)
Johan Huysmans, Rudy Setiono, Bart Baesens, Jan Vanthienen
Minerva: Sequential Covering for Rule Extraction. IEEE Trans. Syst. Man Cybern. Part B 38 (2) (2008)
Rudy Setiono, Christophe Mues, Bart Baesens
Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. ICIS (2006)
Koichi Odajima, Yoichi Hayashi, Rudy Setiono
Greedy rule generation from discrete data and its use in neural network rule extraction. IJCNN (2006)
Rudy Setiono, Shan L. Pan, Ming-Huei Hsieh, Arnulfo P. Azcarraga
Knowledge acquisition and revision using neural networks: an application to a cross-national study of brand image perception. J. Oper. Res. Soc. 57 (3) (2006)
Rudy Setiono, Shan L. Pan, Ming-Huei Hsieh, Arnulfo P. Azcarraga
constructs using a hybrid approach. J. Oper. Res. Soc. 56 (1) (2005)
Arnulfo P. Azcarraga, Ming-Huei Hsieh, Shan L. Pan, Rudy Setiono
Extracting salient dimensions for automatic SOM labeling. IEEE Trans. Syst. Man Cybern. Part C 35 (4) (2005)
Rudy Setiono, Shan 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 Trans. Syst. Man Cybern. Part C 35 (4) (2005)
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)
Wu Wei, Liu Xin, Xu Min, Peng Jinrong, Rudy Setiono
A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression. ICPR (2) (2004)
Rudy Setiono, James Y. L. Thong
An approach to generate rules from neural networks for regression problems. Eur. J. Oper. Res. 155 (1) (2004)
Wlodzislaw Duch, Rudy Setiono, Jacek M. Zurada
Computational intelligence methods for rule-based data understanding. Proc. IEEE 92 (5) (2004)
Vincent W. L. Tam, Rudy Setiono, Ardi Santoso
Applying the Conjugate Gradient Method for Text Document Categorization. ICPR (2) (2004)
Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen
Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Manag. Sci. 49 (3) (2003)
Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono
Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling. ICIS (2003)
Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono
Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) (2003)
Rudy Setiono, Wee Kheng Leow, Jacek M. Zurada
Extraction of rules from artificial neural networks for nonlinear regression. IEEE Trans. Neural Networks 13 (3) (2002)
Vincent W. L. Tam, Ardi Santoso, Rudy Setiono
A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization. ICPR (4) (2002)
Yoichi Hayashi, Rudy Setiono
Combining neural network predictions for medical diagnosis. Comput. Biol. Medicine 32 (4) (2002)
Hongjun Lu, Rudy Setiono
Effective Query Size Estimation Using Neural Networks. Appl. Intell. 16 (3) (2002)
Rudy Setiono, Arnulfo P. Azcarraga
Generating Concise Sets of Linear Regression Rules from Artificial Neural Networks. Int. J. Artif. Intell. Tools 11 (2) (2002)
Rudy Setiono
Feedforward Neural Network Construction Using Cross Validation. Neural Comput. 13 (12) (2001)
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)
Rudy Setiono
Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation. IWANN (1) (2001)
Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono
Input Selection in Data-Driven Fuzzy Modelling. FUZZ-IEEE (2001)
Rudy Setiono, Arnulfo P. Azcarraga
An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks. ICTAI (2001)
Wee Kheng Leow, Zhiyong Huang, Yong Zhang, Rudy Setiono
Rapid 3D Model Acquisition from Images of Small Objects. GMP (2000)
Rudy Setiono
Extracting M-of-N rules from trained neural networks. IEEE Trans. Neural Networks Learn. Syst. 11 (2) (2000)
Rudy Setiono, Wee Kheng Leow
FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks. Appl. Intell. 12 (1-2) (2000)
Rudy Setiono
Generating concise and accurate classification rules for breast cancer diagnosis. Artif. Intell. Medicine 18 (3) (2000)
Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida
Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks. J. Adv. Comput. Intell. Intell. Informatics 4 (4) (2000)
Rudy Setiono, Adam E. Gaweda
Neural Network Pruning for Function Approximation. IJCNN (6) (2000)
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)
Rudy Setiono, Wee Kheng Leow
Pruned Neural Networks for Regression. PRICAI (2000)
Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida
A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Artif. Intell. Medicine 20 (3) (2000)
Rudy Setiono, Wee Kheng Leow
Generating rules from trained network using fast pruning. IJCNN (1999)
Rudy Setiono, Huan Liu
A connectionist approach to generating oblique decision trees. IEEE Trans. Syst. Man Cybern. Part B 29 (3) (1999)
Rudy Setiono, Wee Kheng Leow
On mapping decision trees and neural networks. Knowl. Based Syst. 12 (3) (1999)
Wee Kheng Leow, Rudy Setiono
Explanation of the "virtual input" phenomenon. Neural Networks 12 (1) (1999)
Rudy Setiono, Huan Liu
Analysis of Hidden Representations by Greedy Clustering. Connect. Sci. 10 (1) (1998)
Huan Liu, Rudy Setiono
Feature Transformation and Multivariate Decision Tree Induction. Discovery Science (1998)
Rudy Setiono, James Y. L. Thong, Chee-Sing Yap
Symbolic rule extraction from neural networks: An application to identifying organizations adopting IT. Inf. Manag. 34 (2) (1998)
Rudy Setiono, Huan Liu
Fragmentation problem and automated feature construction. ICTAI (1998)
Huan Liu, Rudy Setiono
Incremental Feature Selection. Appl. Intell. 9 (3) (1998)
Huan Liu, Rudy Setiono
Feature Selection via Discretization. IEEE Trans. Knowl. Data Eng. 9 (4) (1997)
Rudy Setiono
On the solution of the parity problem by a single hidden layer feedforward neural network. Neurocomputing 16 (3) (1997)
Rudy Setiono, Huan Liu
NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks. ECML (1997)
Rudy Setiono, Huan Liu
Neural-network feature selector. IEEE Trans. Neural Networks 8 (3) (1997)
Rudy Setiono, Huan Liu
NeuroLinear: From neural networks to oblique decision rules. Neurocomputing 17 (1) (1997)
Rudy Setiono
A Penalty-Function Approach for Pruning Feedforward Neural Networks. Neural Comput. 9 (1) (1997)
Rudy Setiono
Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting. Neural Comput. 9 (1) (1997)
Huan Liu, Rudy Setiono
Dimensionality reduction via discretization. Knowl. Based Syst. 9 (1) (1996)
Rudy Setiono, Huan Liu
Improving Backpropagation Learning with Feature Selection. Appl. Intell. 6 (2) (1996)
Huan Liu, Rudy Setiono
A Probabilistic Approach to Feature Selection - A Filter Solution. ICML (1996)
Rudy Setiono, Huan Liu
Symbolic Representation of Neural Networks. Computer 29 (3) (1996)
Rudy Setiono
Extracting rules from pruned networks for breast cancer diagnosis. Artif. Intell. Medicine 8 (1) (1996)
Hongjun Lu, Rudy Setiono, Huan Liu
Effective Data Mining Using Neural Networks. IEEE Trans. Knowl. Data Eng. 8 (6) (1996)
Huan Liu, Rudy Setiono
Feature Selection and Classification - A Probabilistic Wrapper Approach. IEA/AIE (1996)
Rudy Setiono, Lucas Chi Kwong Hui
Use of a quasi-Newton method in a feedforward neural network construction algorithm. IEEE Trans. Neural Networks 6 (1) (1995)
Rudy Setiono
A Neural Network Construction Algorithm which Maximizes the Likelihood Function. Connect. Sci. 7 (2) (1995)
Rudy Setiono, Huan Liu
Understanding Neural Networks via Rule Extraction. IJCAI (1995)
Hongjun Lu, Rudy Setiono, Huan Liu
NeuroRule: A Connectionist Approach to Data Mining. VLDB (1995)
Huan Liu, Rudy Setiono
Chi2: feature selection and discretization of numeric attributes. ICTAI (1995)
Siu Leung Chung, Rudy Setiono
Efficient Neural Network Training on a Cray y-MP. Int. J. High Speed Comput. 7 (1) (1995)
Hongjun Lu, Rudy Setiono, Huan Liu
Towards Effective Classfication Rule Extraction (Abstract). KDOOD/TDOOD (1995)
Rudy Setiono, Guojun Lu
A Neural Network Construction Algorithm with Application to Image. Neural Comput. Appl. 2 (2) (1994)