Rudy Setiono - RankMe

92 papers A* 3B 16C 6Journal 51Unranked 13

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