Rudy Setiono

According to our database, Rudy Setiono authored at least 90 papers between 1994 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Neural network rule extraction for gaining insight into the characteristics of poverty.

Arnulfo P. Azcarraga, Rudy Setiono

Neural Comput. Appl., 2018

2016

Neural network training and rule extraction with augmented discretized input.

Yoichi Hayashi, Rudy Setiono, Arnulfo P. Azcarraga

Neurocomputing, 2016

Validating the stable clustering of songs in a structured 3D SOM.

Arnulfo P. Azcarraga, Arturo Caronongan, Rudy Setiono, Sean Manalili

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods.

Min Xu, Rudy Setiono

CoRR, 2015

2014

MofN rule extraction from neural networks trained with augmented discretized input.

Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Tagging documents using neural networks based on local word features.

Arnulfo P. Azcarraga, Paolo Tensuan, Rudy Setiono

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

Keyword extraction using backpropagation neural networks and rule extraction.

Arnulfo P. Azcarraga, Michael David Liu, Rudy Setiono

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Discrete Variable Generation for Improved Neural Network Classification.

Rudy Setiono, Alex Seret

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

Guest Editorial White Box Nonlinear Prediction Models.

Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada

IEEE Trans. Neural Networks, 2011

Rule Extraction from Minimal Neural Networks for Credit Card Screening.

Rudy Setiono, Bart Baesens, Christophe Mues

Int. J. Neural Syst., 2011

2010

Understanding consumer heterogeneity: A business intelligence application of neural networks.

Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono

Knowl. Based Syst., 2010

Feature Selection: An Ever Evolving Frontier in Data Mining.

Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao

Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010

Preface.

Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao

Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010

Neural Network Rule Extraction and the LED Display Recognition Problem.

Rudy Setiono, Masahiro Tanaka

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Software Effort Prediction Using Regression Rule Extraction from Neural Networks.

Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009

Predicting consumer preference for fast-food franchises: a data mining approach.

Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono

J. Oper. Res. Soc., 2009

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

2008

Improved SOM Labeling Methodology for Data Mining Applications.

Arnulfo P. Azcarraga, Ming-Huei Hsieh, Shan Ling Pan, Rudy Setiono

Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 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

Proceedings of the Rule Extraction from Support Vector Machines, 2008

Minerva: Sequential Covering for Rule Extraction.

Johan Huysmans, Rudy Setiono, Bart Baesens, Jan Vanthienen

IEEE Trans. Syst. Man Cybern. Part B, 2008

Recursive Neural Network Rule Extraction for Data With Mixed Attributes.

Rudy Setiono, Bart Baesens, Christophe Mues

IEEE Trans. Neural Networks, 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

Market research applications of artificial neural networks.

Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

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

Greedy rule generation from discrete data and its use in neural network rule extraction.

Koichi Odajima, Yoichi Hayashi, Rudy Setiono

Proceedings of the International Joint Conference on Neural Networks, 2006

Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction.

Rudy Setiono, Christophe Mues, Bart Baesens

Proceedings of the International Conference on Information Systems, 2006

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

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

Automatic knowledge extraction from survey data: learning <i>M</i>-of-<i>N</i> constructs using a hybrid approach.

Rudy Setiono, Shan L. Pan, Ming-Huei Hsieh, Arnulfo P. Azcarraga

J. Oper. Res. Soc., 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

Proceedings of the Professional Knowledge Management, Third Biennial Conference, 2005

Effective neural network pruning using cross-validation.

Thuan Q. Huynh, Rudy Setiono

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

2004

Computational intelligence methods for rule-based data understanding.

Wlodzislaw Duch, Rudy Setiono, Jacek M. Zurada

Proc. IEEE, 2004

An approach to generate rules from neural networks for regression problems.

Rudy Setiono, James Y. L. Thong

Eur. J. Oper. Res., 2004

Knowledge acquisition and revision via neural networks.

Arnulfo P. Azcarraga, Ming-Huei Hsieh, Shan-Ling Pan, Rudy Setiono

Proceedings of the IEEE International Joint Conference on Neural Networks, 2004

A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression.

Wu Wei, Liu Xin, Xu Min, Peng Jinrong, Rudy Setiono

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Applying the Conjugate Gradient Method for Text Document Categorization.

Vincent W. L. Tam, Rudy Setiono, Ardi Santoso

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003

Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation.

Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen

Manag. Sci., 2003

Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling.

Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono

Proceedings of the International Conference on Information Systems, 2003

Building Intelligent Credit Scoring Systems Using Decision Tables.

Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono

Proceedings of the ICEIS 2003, 2003

2002

Extraction of rules from artificial neural networks for nonlinear regression.

Rudy Setiono, Wee Kheng Leow, Jacek M. Zurada

IEEE Trans. Neural Networks, 2002

Generating Concise Sets of Linear Regression Rules from Artificial Neural Networks.

Rudy Setiono, Arnulfo P. Azcarraga

Int. J. Artif. Intell. Tools, 2002

Combining neural network predictions for medical diagnosis.

Yoichi Hayashi, Rudy Setiono

Comput. Biol. Medicine, 2002

Effective Query Size Estimation Using Neural Networks.

Hongjun Lu, Rudy Setiono

Appl. Intell., 2002

A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization.

Vincent W. L. Tam, Ardi Santoso, Rudy Setiono

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001

Feedforward Neural Network Construction Using Cross Validation.

Rudy Setiono

Neural Comput., 2001

Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation.

Rudy Setiono

Proceedings of the Connectionist Models of Neurons, 2001

An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks.

Rudy Setiono, Arnulfo P. Azcarraga

Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 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

Proceedings of the International Conference on Information Systems, 2001

Input Selection in Data-Driven Fuzzy Modelling.

Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000

Extracting M-of-N rules from trained neural networks.

Rudy Setiono

IEEE Trans. Neural Networks Learn. Syst., 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

Generating concise and accurate classification rules for breast cancer diagnosis.

Rudy Setiono

Artif. Intell. Medicine, 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

FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks.

Rudy Setiono, Wee Kheng Leow

Appl. Intell., 2000

Pruned Neural Networks for Regression.

Rudy Setiono, Wee Kheng Leow

Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

Neural Network Pruning for Function Approximation.

Rudy Setiono, Adam E. Gaweda

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 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

Proceedings of the Twenty-First International Conference on Information Systems, 2000

Rapid 3D Model Acquisition from Images of Small Objects.

Wee Kheng Leow, Zhiyong Huang, Yong Zhang, Rudy Setiono

Proceedings of the Geometric Modeling and Processing 2000, 2000

1999

A connectionist approach to generating oblique decision trees.

Rudy Setiono, Huan Liu

IEEE Trans. Syst. Man Cybern. Part B, 1999

Explanation of the "virtual input" phenomenon.

Wee Kheng Leow, Rudy Setiono

Neural Networks, 1999

On mapping decision trees and neural networks.

Rudy Setiono, Wee Kheng Leow

Knowl. Based Syst., 1999

Generating rules from trained network using fast pruning.

Rudy Setiono, Wee Kheng Leow

Proceedings of the International Joint Conference Neural Networks, 1999

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

Analysis of Hidden Representations by Greedy Clustering.

Rudy Setiono, Huan Liu

Connect. Sci., 1998

Incremental Feature Selection.

Huan Liu, Rudy Setiono

Appl. Intell., 1998

Fragmentation problem and automated feature construction.

Rudy Setiono, Huan Liu

Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998

Feature Transformation and Multivariate Decision Tree Induction.

Huan Liu, Rudy Setiono

Proceedings of the Discovery Science, 1998

1997

Neural-network feature selector.

Rudy Setiono, Huan Liu

IEEE Trans. Neural Networks, 1997

Feature Selection via Discretization.

Huan Liu, Rudy Setiono

IEEE Trans. Knowl. Data Eng., 1997

Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting.

Rudy Setiono

Neural Comput., 1997

A Penalty-Function Approach for Pruning Feedforward Neural Networks.

Rudy Setiono

Neural Comput., 1997

NeuroLinear: From neural networks to oblique decision rules.

Rudy Setiono, Huan Liu

Neurocomputing, 1997

On the solution of the parity problem by a single hidden layer feedforward neural network.

Rudy Setiono

Neurocomputing, 1997

NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks.

Rudy Setiono, Huan Liu

Proceedings of the Machine Learning: ECML-97, 1997

1996

Effective Data Mining Using Neural Networks.

Hongjun Lu, Rudy Setiono, Huan Liu

IEEE Trans. Knowl. Data Eng., 1996

Dimensionality reduction via discretization.

Huan Liu, Rudy Setiono

Knowl. Based Syst., 1996

Symbolic Representation of Neural Networks.

Rudy Setiono, Huan Liu

Computer, 1996

Extracting rules from pruned networks for breast cancer diagnosis.

Rudy Setiono

Artif. Intell. Medicine, 1996

Improving Backpropagation Learning with Feature Selection.

Rudy Setiono, Huan Liu

Appl. Intell., 1996

Feature Selection and Classification - A Probabilistic Wrapper Approach.

Huan Liu, Rudy Setiono

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

A Probabilistic Approach to Feature Selection - A Filter Solution.

Huan Liu, Rudy Setiono

Proceedings of the Machine Learning, 1996

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

Efficient Neural Network Training on a Cray y-MP.

Siu Leung Chung, Rudy Setiono

Int. J. High Speed Comput., 1995

A Neural Network Construction Algorithm which Maximizes the Likelihood Function.

Rudy Setiono

Connect. Sci., 1995

NeuroRule: A Connectionist Approach to Data Mining.

Hongjun Lu, Rudy Setiono, Huan Liu

Proceedings of the VLDB'95, 1995

Understanding Neural Networks via Rule Extraction.

Rudy Setiono, Huan Liu

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Chi2: feature selection and discretization of numeric attributes.

Huan Liu, Rudy Setiono

Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

Towards Effective Classfication Rule Extraction (Abstract).

Hongjun Lu, Rudy Setiono, Huan Liu

Proceedings of the DOOD 1995 Post-Conference Workshops on Integration of Knowledge Discovery in Databases with Deductive and Object-Oriented Databases (KDOOD) and Temporal Reasoning in Deductive and Object-Oriented Databases (TDOOD), 1995

1994

A Neural Network Construction Algorithm with Application to Image.

Rudy Setiono, Guojun Lu

Neural Comput. Appl., 1994