A Neural Network Construction Algorithm with Application to Image. - Rudy Setiono; Guojun Lu (Neural Comput. Appl., 1994)

Towards Effective Classfication Rule Extraction (Abstract). - Hongjun Lu; Rudy Setiono; Huan Liu 001 (KDOOD/TDOOD, 1995)

Chi2: feature selection and discretization of numeric attributes. - Huan Liu 001; Rudy Setiono (ICTAI, 1995)

Understanding Neural Networks via Rule Extraction. - Rudy Setiono; Huan Liu 001 (IJCAI, 1995)

NeuroRule: A Connectionist Approach to Data Mining. - Hongjun Lu; Rudy Setiono; Huan Liu 001 (VLDB, 1995)

A Neural Network Construction Algorithm which Maximizes the Likelihood Function. - Rudy Setiono (Connect. Sci., 1995)

Efficient Neural Network Training on a Cray y-MP. - Siu Leung Chung; Rudy Setiono (Int. J. High Speed Comput., 1995)

Use of a quasi-Newton method in a feedforward neural network construction algorithm. - Rudy Setiono; Lucas Chi Kwong Hui (IEEE Trans. Neural Networks, 1995)

A Probabilistic Approach to Feature Selection - A Filter Solution. - Huan Liu 001; Rudy Setiono (ICML, 1996)

Feature Selection and Classification - A Probabilistic Wrapper Approach. - Huan Liu 001; Rudy Setiono (IEA/AIE, 1996)

Improving Backpropagation Learning with Feature Selection. - Rudy Setiono; Huan Liu 001 (Appl. Intell., 1996)

Extracting rules from pruned networks for breast cancer diagnosis. - Rudy Setiono (Artif. Intell. Medicine, 1996)

Symbolic Representation of Neural Networks. - Rudy Setiono; Huan Liu 001 (Computer, 1996)

Dimensionality reduction via discretization. - Huan Liu 001; Rudy Setiono (Knowl. Based Syst., 1996)

Effective Data Mining Using Neural Networks. - Hongjun Lu; Rudy Setiono; Huan Liu 001 (IEEE Trans. Knowl. Data Eng., 1996)

NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks. - Rudy Setiono; Huan Liu 001 (ECML, 1997)

On the solution of the parity problem by a single hidden layer feedforward neural network. - Rudy Setiono (Neurocomputing, 1997)

NeuroLinear: From neural networks to oblique decision rules. - Rudy Setiono; Huan Liu 001 (Neurocomputing, 1997)

A Penalty-Function Approach for Pruning Feedforward Neural Networks. - Rudy Setiono (Neural Comput., 1997)

Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting. - Rudy Setiono (Neural Comput., 1997)

Feature Selection via Discretization. - Huan Liu 001; Rudy Setiono (IEEE Trans. Knowl. Data Eng., 1997)

Neural-network feature selector. - Rudy Setiono; Huan Liu 001 (IEEE Trans. Neural Networks, 1997)

Feature Transformation and Multivariate Decision Tree Induction. - Huan Liu 001; Rudy Setiono (Discovery Science, 1998)

Fragmentation problem and automated feature construction. - Rudy Setiono; Huan Liu 001 (ICTAI, 1998)

Incremental Feature Selection. - Huan Liu 001; Rudy Setiono (Appl. Intell., 1998)

Analysis of Hidden Representations by Greedy Clustering. - Rudy Setiono; Huan Liu 001 (Connect. Sci., 1998)

Symbolic rule extraction from neural networks: An application to identifying organizations adopting IT. - Rudy Setiono; James Y. L. Thong; Chee-Sing Yap (Inf. Manag., 1998)

Generating rules from trained network using fast pruning. - Rudy Setiono; Wee Kheng Leow (IJCNN, 1999)

On mapping decision trees and neural networks. - Rudy Setiono; Wee Kheng Leow (Knowl. Based Syst., 1999)

Explanation of the "virtual input" phenomenon. - Wee Kheng Leow; Rudy Setiono (Neural Networks, 1999)

A connectionist approach to generating oblique decision trees. - Rudy Setiono; Huan Liu 001 (IEEE Trans. Syst. Man Cybern. Part B, 1999)

Rapid 3D Model Acquisition from Images of Small Objects. - Wee Kheng Leow; Zhiyong Huang; Yong Zhang; Rudy Setiono (GMP, 2000)

Opening 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)

Neural Network Pruning for Function Approximation. - Rudy Setiono; Adam E. Gaweda (IJCNN (6), 2000)

Pruned Neural Networks for Regression. - Rudy Setiono; Wee Kheng Leow (PRICAI, 2000)

FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks. - Rudy Setiono; Wee Kheng Leow (Appl. Intell., 2000)

A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. - Yoichi Hayashi; Rudy Setiono; Katsumi Yoshida (Artif. Intell. Medicine, 2000)

Generating concise and accurate classification rules for breast cancer diagnosis. - Rudy Setiono (Artif. Intell. Medicine, 2000)

Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks. - Yoichi Hayashi; Rudy Setiono; Katsumi Yoshida (J. Adv. Comput. Intell. Intell. Informatics, 2000)

Extracting M-of-N rules from trained neural networks. - Rudy Setiono (IEEE Trans. Neural Networks Learn. Syst., 2000)

Input Selection in Data-Driven Fuzzy Modelling. - Adam E. Gaweda; Jacek M. Zurada; Rudy Setiono (FUZZ-IEEE, 2001)

Building 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)

An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks. - Rudy Setiono; Arnulfo P. Azcarraga (ICTAI, 2001)

Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation. - Rudy Setiono (IWANN (1), 2001)

Feedforward Neural Network Construction Using Cross Validation. - Rudy Setiono (Neural Comput., 2001)

A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization. - Vincent W. L. Tam; Ardi Santoso; Rudy Setiono (ICPR (4), 2002)

Effective Query Size Estimation Using Neural Networks. - Hongjun Lu; Rudy Setiono (Appl. Intell., 2002)

Combining neural network predictions for medical diagnosis. - Yoichi Hayashi; Rudy Setiono (Comput. Biol. Medicine, 2002)

Generating Concise Sets of Linear Regression Rules from Artificial Neural Networks. - Rudy Setiono; Arnulfo P. Azcarraga (Int. J. Artif. Intell. Tools, 2002)

Extraction of rules from artificial neural networks for nonlinear regression. - Rudy Setiono; Wee Kheng Leow; Jacek M. Zurada (IEEE Trans. Neural Networks, 2002)

Building Intelligent Credit Scoring Systems Using Decision Tables. - Bart Baesens; Christophe Mues; Manu De Backer; Jan Vanthienen; Rudy Setiono (ICEIS (2), 2003)

Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling. - Arnulfo P. Azcarraga; Ming-Huei Hsieh; Rudy Setiono (ICIS, 2003)

Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. - Bart Baesens; Rudy Setiono; Christophe Mues; Jan Vanthienen (Manag. Sci., 2003)

Applying the Conjugate Gradient Method for Text Document Categorization. - Vincent W. L. Tam; Rudy Setiono; Ardi Santoso (ICPR (2), 2004)

A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression. - Wu Wei; Liu Xin; Xu Min; Peng Jinrong; Rudy Setiono (ICPR (2), 2004)

Knowledge acquisition and revision via neural networks. - Arnulfo P. Azcarraga; Ming-Huei Hsieh; Shan-Ling Pan; Rudy Setiono (IJCNN, 2004)

An approach to generate rules from neural networks for regression problems. - Rudy Setiono; James Y. L. Thong (Eur. J. Oper. Res., 2004)

Computational intelligence methods for rule-based data understanding. - Wlodzislaw Duch; Rudy Setiono; Jacek M. Zurada (Proc. IEEE, 2004)

Effective neural network pruning using cross-validation. - Thuan Q. Huynh; Rudy Setiono (IJCNN, 2005)

From 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)

Automatic knowledge extraction from survey data: learning M-of-N constructs using a hybrid approach. - Rudy Setiono; Shan L. Pan; Ming-Huei Hsieh; Arnulfo P. Azcarraga (J. Oper. Res. Soc., 2005)

Extracting salient dimensions for automatic SOM labeling. - Arnulfo P. Azcarraga; Ming-Huei Hsieh; Shan L. Pan; Rudy Setiono (IEEE Trans. Syst. Man Cybern. Part C, 2005)

Separating core and noncore knowledge: an application of neural network rule extraction to a cross-national study of brand image perception. - Rudy Setiono; Shan L. Pan; Ming-Huei Hsieh; Arnulfo P. Azcarraga (IEEE Trans. Syst. Man Cybern. Part C, 2005)

Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. - Rudy Setiono; Christophe Mues; Bart Baesens (ICIS, 2006)

Greedy rule generation from discrete data and its use in neural network rule extraction. - Koichi Odajima; Yoichi Hayashi; Rudy Setiono (IJCNN, 2006)

Knowledge acquisition and revision using neural networks: an application to a cross-national study of brand image perception. - Rudy Setiono; Shan L. Pan; Ming-Huei Hsieh; Arnulfo P. Azcarraga (J. Oper. Res. Soc., 2006)

Market research applications of artificial neural networks. - Arnulfo P. Azcarraga; Ming-Huei Hsieh; Rudy Setiono (IEEE Congress on Evolutionary Computation, 2008)

Greedy rule generation from discrete data and its use in neural network rule extraction. - Koichi Odajima; Yoichi Hayashi; Gong Tianxia; Rudy Setiono (Neural Networks, 2008)

Recursive Neural Network Rule Extraction for Data With Mixed Attributes. - Rudy Setiono; Bart Baesens; Christophe Mues (IEEE Trans. Neural Networks, 2008)

Minerva: Sequential Covering for Rule Extraction. - Johan Huysmans; Rudy Setiono; Bart Baesens; Jan Vanthienen (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Rule 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)

Improved 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)

A note on knowledge discovery using neural networks and its application to credit card screening. - Rudy Setiono; Bart Baesens; Christophe Mues (Eur. J. Oper. Res., 2009)

Predicting consumer preference for fast-food franchises: a data mining approach. - Yoichi Hayashi; Ming-Huei Hsieh; Rudy Setiono (J. Oper. Res. Soc., 2009)

Software Effort Prediction Using Regression Rule Extraction from Neural Networks. - Rudy Setiono; Karel Dejaeger; Wouter Verbeke; David Martens; Bart Baesens (ICTAI (2), 2010)

Neural Network Rule Extraction and the LED Display Recognition Problem. - Rudy Setiono; Masahiro Tanaka (ICTAI (2), 2010)

Preface. - Huan Liu 001; Hiroshi Motoda; Rudy Setiono; Zheng Zhao 002 (FSDM, 2010)

Feature Selection: An Ever Evolving Frontier in Data Mining. - Huan Liu 001; Hiroshi Motoda; Rudy Setiono; Zheng Zhao 002 (FSDM, 2010)

Understanding consumer heterogeneity: A business intelligence application of neural networks. - Yoichi Hayashi; Ming-Huei Hsieh; Rudy Setiono (Knowl. Based Syst., 2010)

Rule Extraction from Minimal Neural Networks for Credit Card Screening. - Rudy Setiono; Bart Baesens; Christophe Mues (Int. J. Neural Syst., 2011)

Guest Editorial White Box Nonlinear Prediction Models. - Bart Baesens; David Martens; Rudy Setiono; Jacek M. Zurada (IEEE Trans. Neural Networks, 2011)

Discrete Variable Generation for Improved Neural Network Classification. - Rudy Setiono; Alex Seret (ICTAI, 2012)

Keyword extraction using backpropagation neural networks and rule extraction. - Arnulfo P. Azcarraga; Michael David Liu; Rudy Setiono (IJCNN, 2012)

Tagging documents using neural networks based on local word features. - Arnulfo P. Azcarraga; Paolo Tensuan; Rudy Setiono (IJCNN, 2014)

MofN rule extraction from neural networks trained with augmented discretized input. - Rudy Setiono; Arnulfo P. Azcarraga; Yoichi Hayashi (IJCNN, 2014)

Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods. - Min Xu; Rudy Setiono (CoRR, 2015)

Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications. - Rudy Setiono; Arnulfo P. Azcarraga; Yoichi Hayashi (Int. J. Comput. Intell. Appl., 2015)

Validating the stable clustering of songs in a structured 3D SOM. - Arnulfo P. Azcarraga; Arturo Caronongan; Rudy Setiono; Sean Manalili (IJCNN, 2016)

Neural network training and rule extraction with augmented discretized input. - Yoichi Hayashi; Rudy Setiono; Arnulfo P. Azcarraga (Neurocomputing, 2016)

Neural network rule extraction for gaining insight into the characteristics of poverty. - Arnulfo P. Azcarraga; Rudy Setiono (Neural Comput. Appl., 2018)