Rudy Setiono

According to our database1, Rudy Setiono authored at least 87 papers between 1994 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Neural network rule extraction for gaining insight into the characteristics of poverty.
Neural Computing and Applications, 2018

2016
Neural network training and rule extraction with augmented discretized input.
Neurocomputing, 2016

Validating the stable clustering of songs in a structured 3D SOM.
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.
International Journal of Computational Intelligence and Applications, 2015

2014
MofN rule extraction from neural networks trained with augmented discretized input.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Tagging documents using neural networks based on local word features.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
Keyword extraction using backpropagation neural networks and rule extraction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Discrete Variable Generation for Improved Neural Network Classification.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
Guest Editorial White Box Nonlinear Prediction Models.
IEEE Trans. Neural Networks, 2011

Rule Extraction from Minimal Neural Networks for Credit Card Screening.
Int. J. Neural Syst., 2011

2010
Understanding consumer heterogeneity: A business intelligence application of neural networks.
Knowl.-Based Syst., 2010

Feature Selection: An Ever Evolving Frontier in Data Mining.
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010

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

Neural Network Rule Extraction and the LED Display Recognition Problem.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Software Effort Prediction Using Regression Rule Extraction from Neural Networks.
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.
JORS, 2009

A note on knowledge discovery using neural networks and its application to credit card screening.
European Journal of Operational Research, 2009

2008
Improved SOM Labeling Methodology for Data Mining Applications.
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.
Proceedings of the Rule Extraction from Support Vector Machines, 2008

Minerva: Sequential Covering for Rule Extraction.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2008

Recursive Neural Network Rule Extraction for Data With Mixed Attributes.
IEEE Trans. Neural Networks, 2008

Greedy rule generation from discrete data and its use in neural network rule extraction.
Neural Networks, 2008

Market research applications of artificial neural networks.
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.
JORS, 2006

Greedy rule generation from discrete data and its use in neural network rule extraction.
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.
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.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2005

Extracting salient dimensions for automatic SOM labeling.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2005

Automatic knowledge extraction from survey data: learning M-of-N constructs using a hybrid approach.
JORS, 2005

From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables.
Proceedings of the Professional Knowledge Management, Third Biennial Conference, 2005

2004
Computational intelligence methods for rule-based data understanding.
Proceedings of the IEEE, 2004

An approach to generate rules from neural networks for regression problems.
European Journal of Operational Research, 2004

A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Applying the Conjugate Gradient Method for Text Document Categorization.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation.
Management Science, 2003

Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling.
Proceedings of the International Conference on Information Systems, 2003

Building Intelligent Credit Scoring Systems Using Decision Tables.
Proceedings of the ICEIS 2003, 2003

2002
Extraction of rules from artificial neural networks for nonlinear regression.
IEEE Trans. Neural Networks, 2002

Generating Concise Sets of Linear Regression Rules from Artificial Neural Networks.
International Journal on Artificial Intelligence Tools, 2002

Combining neural network predictions for medical diagnosis.
Comp. in Bio. and Med., 2002

Effective Query Size Estimation Using Neural Networks.
Appl. Intell., 2002

A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Feedforward Neural Network Construction Using Cross Validation.
Neural Computation, 2001

Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation.
Proceedings of the Connectionist Models of Neurons, 2001

An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks.
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.
Proceedings of the International Conference on Information Systems, 2001

Input Selection in Data-Driven Fuzzy Modelling.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
Extracting M-of-N rules from trained neural networks.
IEEE Trans. Neural Netw. Learning Syst., 2000

Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks.
JACIII, 2000

Generating concise and accurate classification rules for breast cancer diagnosis.
Artificial Intelligence in Medicine, 2000

A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders.
Artificial Intelligence in Medicine, 2000

FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks.
Appl. Intell., 2000

Pruned Neural Networks for Regression.
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.
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.
Proceedings of the Twenty-First International Conference on Information Systems, 2000

Rapid 3D Model Acquisition from Images of Small Objects.
Proceedings of the Geometric Modeling and Processing 2000, 2000

1999
A connectionist approach to generating oblique decision trees.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1999

Explanation of the "virtual input" phenomenon.
Neural Networks, 1999

On mapping decision trees and neural networks.
Knowl.-Based Syst., 1999

Generating rules from trained network using fast pruning.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Symbolic rule extraction from neural networks: An application to identifying organizations adopting IT.
Information & Management, 1998

Analysis of Hidden Representations by Greedy Clustering.
Connect. Sci., 1998

Incremental Feature Selection.
Appl. Intell., 1998

Fragmentation problem and automated feature construction.
Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998

Feature Transformation and Multivariate Decision Tree Induction.
Proceedings of the Discovery Science, 1998

1997
Neural-network feature selector.
IEEE Trans. Neural Networks, 1997

Feature Selection via Discretization.
IEEE Trans. Knowl. Data Eng., 1997

Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting.
Neural Computation, 1997

A Penalty-Function Approach for Pruning Feedforward Neural Networks.
Neural Computation, 1997

NeuroLinear: From neural networks to oblique decision rules.
Neurocomputing, 1997

On the solution of the parity problem by a single hidden layer feedforward neural network.
Neurocomputing, 1997

NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks.
Proceedings of the Machine Learning: ECML-97, 1997

1996
Effective Data Mining Using Neural Networks.
IEEE Trans. Knowl. Data Eng., 1996

Dimensionality reduction via discretization.
Knowl.-Based Syst., 1996

Symbolic Representation of Neural Networks.
IEEE Computer, 1996

Extracting rules from pruned networks for breast cancer diagnosis.
Artificial Intelligence in Medicine, 1996

Improving Backpropagation Learning with Feature Selection.
Appl. Intell., 1996

Feature Selection and Classification - A Probabilistic Wrapper Approach.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

A Probabilistic Approach to Feature Selection - A Filter Solution.
Proceedings of the Machine Learning, 1996

1995
Use of a quasi-Newton method in a feedforward neural network construction algorithm.
IEEE Trans. Neural Networks, 1995

Efficient Neural Network Training on a Cray y-MP.
International Journal of High Speed Computing, 1995

A Neural Network Construction Algorithm which Maximizes the Likelihood Function.
Connect. Sci., 1995

NeuroRule: A Connectionist Approach to Data Mining.
Proceedings of the VLDB'95, 1995

Understanding Neural Networks via Rule Extraction.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Chi2: feature selection and discretization of numeric attributes.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

Towards Effective Classfication Rule Extraction (Abstract).
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.
Neural Computing and Applications, 1994


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