default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRudy Setiono
Person information
- affiliation: National University of Singapore (NUS)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2010 – 2019
- 2018
[j49]Arnulfo P. Azcarraga, Rudy Setiono
:
Neural network rule extraction for gaining insight into the characteristics of poverty. Neural Comput. Appl. 30(9): 2795-2806 (2018)- 2017
- [i2]Hongjun Lu, Rudy Setiono, Huan Liu:
NeuroRule: A Connectionist Approach to Data Mining. CoRR abs/1701.01358 (2017) - 2016
- [j48]Yoichi Hayashi, Rudy Setiono, Arnulfo P. Azcarraga:
Neural network training and rule extraction with augmented discretized input. Neurocomputing 207: 610-622 (2016) - [c36]Arnulfo P. Azcarraga, Arturo Caronongan, Rudy Setiono, Sean Manalili:
Validating the stable clustering of songs in a structured 3D SOM. IJCNN 2016: 2646-2653 - 2015
- [j47]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): 1550021:1-1550021:20 (2015) - [i1]Min Xu, Rudy Setiono:
Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods. CoRR abs/1506.02085 (2015) - 2014
- [c35]Arnulfo P. Azcarraga, Paolo Tensuan, Rudy Setiono:
Tagging documents using neural networks based on local word features. IJCNN 2014: 724-731 - [c34]Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi:
MofN rule extraction from neural networks trained with augmented discretized input. IJCNN 2014: 1079-1086 - 2012
- [c33]Rudy Setiono, Alex Seret:
Discrete Variable Generation for Improved Neural Network Classification. ICTAI 2012: 230-237 - [c32]Arnulfo P. Azcarraga, Michael David Liu, Rudy Setiono:
Keyword extraction using backpropagation neural networks and rule extraction. IJCNN 2012: 1-7 - 2011
- [j46]Rudy Setiono, Bart Baesens, Christophe Mues:
Rule Extraction from Minimal Neural Networks for Credit Card Screening. Int. J. Neural Syst. 21(4): 265-276 (2011) - [j45]Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada:
Guest Editorial White Box Nonlinear Prediction Models. IEEE Trans. Neural Networks 22(12): 2406-2408 (2011) - 2010
- [j44]Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono:
Understanding consumer heterogeneity: A business intelligence application of neural networks. Knowl. Based Syst. 23(8): 856-863 (2010) - [c31]Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens:
Software Effort Prediction Using Regression Rule Extraction from Neural Networks. ICTAI (2) 2010: 45-52 - [c30]Rudy Setiono, Masahiro Tanaka:
Neural Network Rule Extraction and the LED Display Recognition Problem. ICTAI (2) 2010: 53-56 - [c29]Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao:
Preface. FSDM 2010: 1-3 - [c28]Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao:
Feature Selection: An Ever Evolving Frontier in Data Mining. FSDM 2010: 4-13 - [e1]Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao:
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, FSDM, held at PAKDD 2010, Hyderabad, India, June 21st, 2010. JMLR Proceedings 10, JMLR.org 2010 [contents]
2000 – 2009
- 2009
- [j43]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): 326-332 (2009) - [j42]Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono:
Predicting consumer preference for fast-food franchises: a data mining approach. J. Oper. Res. Soc. 60(9): 1221-1229 (2009) - 2008
- [j41]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): 1020-1028 (2008) - [j40]Rudy Setiono, Bart Baesens, Christophe Mues:
Recursive Neural Network Rule Extraction for Data With Mixed Attributes. IEEE Trans. Neural Networks 19(2): 299-307 (2008) - [j39]Johan Huysmans, Rudy Setiono, Bart Baesens, Jan Vanthienen:
Minerva: Sequential Covering for Rule Extraction. IEEE Trans. Syst. Man Cybern. Part B 38(2): 299-309 (2008) - [c27]Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono:
Market research applications of artificial neural networks. IEEE Congress on Evolutionary Computation 2008: 357-363 - [p2]David Martens, Johan Huysmans, Rudy Setiono, Jan Vanthienen, Bart Baesens:
Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring. Rule Extraction from Support Vector Machines 2008: 33-63 - [p1]Arnulfo P. Azcarraga, Ming-Huei Hsieh, Shan Ling Pan, Rudy Setiono:
Improved SOM Labeling Methodology for Data Mining Applications. Soft Computing for Knowledge Discovery and Data Mining 2008: 45-75 - 2006
- [j38]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): 231-240 (2006) - [c26]Rudy Setiono, Christophe Mues, Bart Baesens:
Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. ICIS 2006: 7 - [c25]Koichi Odajima, Yoichi Hayashi, Rudy Setiono:
Greedy rule generation from discrete data and its use in neural network rule extraction. IJCNN 2006: 1833-1839 - 2005
- [j37]Rudy Setiono, Shan L. Pan, Ming-Huei Hsieh, Arnulfo P. Azcarraga:
Automatic knowledge extraction from survey data: learning M-of-N constructs using a hybrid approach. J. Oper. Res. Soc. 56(1): 3-14 (2005) - [j36]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): 465-475 (2005) - [j35]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): 595-600 (2005) - [c24]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: 483-495 - 2004
- [j34]Rudy Setiono, James Y. L. Thong:
An approach to generate rules from neural networks for regression problems. Eur. J. Oper. Res. 155(1): 239-250 (2004) - [j33]Wlodzislaw Duch, Rudy Setiono, Jacek M. Zurada:
Computational intelligence methods for rule-based data understanding. Proc. IEEE 92(5): 771-805 (2004) - [c23]Wu Wei, Liu Xin, Xu Min, Peng Jinrong, Rudy Setiono:
A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression. ICPR (2) 2004: 323-326 - [c22]Vincent W. L. Tam, Rudy Setiono, Ardi Santoso:
Applying the Conjugate Gradient Method for Text Document Categorization. ICPR (2) 2004: 558-561 - 2003
- [j32]Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen:
Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Manag. Sci. 49(3): 312-329 (2003) - [c21]Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono:
Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) 2003: 19-25 - [c20]Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono:
Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling. ICIS 2003: 592-603 - 2002
- [j31]Hongjun Lu, Rudy Setiono:
Effective Query Size Estimation Using Neural Networks. Appl. Intell. 16(3): 173-183 (2002) - [j30]Yoichi Hayashi, Rudy Setiono:
Combining neural network predictions for medical diagnosis. Comput. Biol. Medicine 32(4): 237-246 (2002) - [j29]Rudy Setiono, Arnulfo P. Azcarraga:
Generating Concise Sets of Linear Regression Rules from Artificial Neural Networks. Int. J. Artif. Intell. Tools 11(2): 189-202 (2002) - [j28]Rudy Setiono, Wee Kheng Leow, Jacek M. Zurada:
Extraction of rules from artificial neural networks for nonlinear regression. IEEE Trans. Neural Networks 13(3): 564-577 (2002) - [c19]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: 235-238 - 2001
- [j27]Rudy Setiono:
Feedforward Neural Network Construction Using Cross Validation. Neural Comput. 13(12): 2865-2877 (2001) - [c18]Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono:
Input Selection in Data-Driven Fuzzy Modelling. FUZZ-IEEE 2001: 1251-1254 - [c17]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: 159-168 - [c16]Rudy Setiono, Arnulfo P. Azcarraga:
An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks. ICTAI 2001: 171-178 - [c15]Rudy Setiono:
Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation. IWANN (1) 2001: 277-284 - 2000
- [j26]Rudy Setiono, Wee Kheng Leow:
FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks. Appl. Intell. 12(1-2): 15-25 (2000) - [j25]Rudy Setiono:
Generating concise and accurate classification rules for breast cancer diagnosis. Artif. Intell. Medicine 18(3): 205-219 (2000) - [j24]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): 205-216 (2000) - [j23]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): 294-301 (2000) - [j22]Rudy Setiono:
Extracting M-of-N rules from trained neural networks. IEEE Trans. Neural Networks Learn. Syst. 11(2): 512-519 (2000) - [c14]Wee Kheng Leow, Zhiyong Huang, Yong Zhang, Rudy Setiono:
Rapid 3D Model Acquisition from Images of Small Objects. GMP 2000: 33-41 - [c13]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: 176-186 - [c12]Rudy Setiono, Adam E. Gaweda:
Neural Network Pruning for Function Approximation. IJCNN (6) 2000: 443-448 - [c11]Rudy Setiono, Wee Kheng Leow:
Pruned Neural Networks for Regression. PRICAI 2000: 500-509
1990 – 1999
- 1999
- [j21]Rudy Setiono, Wee Kheng Leow:
On mapping decision trees and neural networks. Knowl. Based Syst. 12(3): 95-99 (1999) - [j20]Wee Kheng Leow, Rudy Setiono:
Explanation of the "virtual input" phenomenon. Neural Networks 12(1): 191-192 (1999) - [j19]Rudy Setiono, Huan Liu:
A connectionist approach to generating oblique decision trees. IEEE Trans. Syst. Man Cybern. Part B 29(3): 440-444 (1999) - [c10]Rudy Setiono, Wee Kheng Leow:
Generating rules from trained network using fast pruning. IJCNN 1999: 4095-4098 - 1998
- [j18]Huan Liu, Rudy Setiono:
Incremental Feature Selection. Appl. Intell. 9(3): 217-230 (1998) - [j17]Rudy Setiono, Huan Liu:
Analysis of Hidden Representations by Greedy Clustering. Connect. Sci. 10(1): 21-42 (1998) - [j16]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): 91-101 (1998) - [c9]Huan Liu, Rudy Setiono:
Feature Transformation and Multivariate Decision Tree Induction. Discovery Science 1998: 279-290 - [c8]Rudy Setiono, Huan Liu:
Fragmentation problem and automated feature construction. ICTAI 1998: 208-215 - 1997
- [j15]Rudy Setiono:
On the solution of the parity problem by a single hidden layer feedforward neural network. Neurocomputing 16(3): 225-235 (1997) - [j14]Rudy Setiono, Huan Liu:
NeuroLinear: From neural networks to oblique decision rules. Neurocomputing 17(1): 1-24 (1997) - [j13]Rudy Setiono:
A Penalty-Function Approach for Pruning Feedforward Neural Networks. Neural Comput. 9(1): 185-204 (1997) - [j12]Rudy Setiono:
Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting. Neural Comput. 9(1): 205-225 (1997) - [j11]Huan Liu, Rudy Setiono:
Feature Selection via Discretization. IEEE Trans. Knowl. Data Eng. 9(4): 642-645 (1997) - [j10]Rudy Setiono, Huan Liu:
Neural-network feature selector. IEEE Trans. Neural Networks 8(3): 654-662 (1997) - [c7]Rudy Setiono, Huan Liu:
NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks. ECML 1997: 221-233 - 1996
- [j9]Rudy Setiono, Huan Liu:
Improving Backpropagation Learning with Feature Selection. Appl. Intell. 6(2): 129-139 (1996) - [j8]Rudy Setiono:
Extracting rules from pruned networks for breast cancer diagnosis. Artif. Intell. Medicine 8(1): 37-51 (1996) - [j7]Rudy Setiono, Huan Liu:
Symbolic Representation of Neural Networks. Computer 29(3): 71-77 (1996) - [j6]Huan Liu, Rudy Setiono:
Dimensionality reduction via discretization. Knowl. Based Syst. 9(1): 67-72 (1996) - [j5]Hongjun Lu, Rudy Setiono, Huan Liu:
Effective Data Mining Using Neural Networks. IEEE Trans. Knowl. Data Eng. 8(6): 957-961 (1996) - [c6]Huan Liu, Rudy Setiono:
A Probabilistic Approach to Feature Selection - A Filter Solution. ICML 1996: 319-327 - [c5]Huan Liu, Rudy Setiono:
Feature Selection and Classification - A Probabilistic Wrapper Approach. IEA/AIE 1996: 419-424 - 1995
- [j4]Rudy Setiono:
A Neural Network Construction Algorithm which Maximizes the Likelihood Function. Connect. Sci. 7(2): 147-166 (1995) - [j3]Siu Leung Chung, Rudy Setiono:
Efficient Neural Network Training on a Cray y-MP. Int. J. High Speed Comput. 7(1): 109-123 (1995) - [j2]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): 273-277 (1995) - [c4]Hongjun Lu, Rudy Setiono, Huan Liu:
Towards Effective Classfication Rule Extraction (Abstract). KDOOD/TDOOD 1995: 47-49 - [c3]Huan Liu, Rudy Setiono:
Chi2: feature selection and discretization of numeric attributes. ICTAI 1995: 388-391 - [c2]Rudy Setiono, Huan Liu:
Understanding Neural Networks via Rule Extraction. IJCAI 1995: 480-487 - [c1]Hongjun Lu, Rudy Setiono, Huan Liu:
NeuroRule: A Connectionist Approach to Data Mining. VLDB 1995: 478-489 - 1994
- [j1]Rudy Setiono, Guojun Lu:
A Neural Network Construction Algorithm with Application to Image. Neural Comput. Appl. 2(2): 61-68 (1994)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 05:47 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
