| 2016 | IJCNN | Validating the stable clustering of songs in a structured 3D SOM. | Arnulfo P. Azcarraga, Arturo Caronongan, Rudy Setiono, Sean Manalili |
| 2014 | IJCNN | Tagging documents using neural networks based on local word features. | Arnulfo P. Azcarraga, Paolo Tensuan, Rudy Setiono |
| 2014 | IJCNN | MofN rule extraction from neural networks trained with augmented discretized input. | Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi |
| 2012 | IJCNN | Keyword extraction using backpropagation neural networks and rule extraction. | Arnulfo P. Azcarraga, Michael David Liu, Rudy Setiono |
| 2012 | ICTAI | Discrete Variable Generation for Improved Neural Network Classification. | Rudy Setiono, Alex Seret |
| 2010 | ICTAI | Software Effort Prediction Using Regression Rule Extraction from Neural Networks. | Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens |
| 2010 | ICTAI | Neural Network Rule Extraction and the LED Display Recognition Problem. | Rudy Setiono, Masahiro Tanaka |
| 2008 | CEC | Market research applications of artificial neural networks. | Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono |
| 2006 | ICIS | Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. | Rudy Setiono, Christophe Mues, Bart Baesens |
| 2006 | IJCNN | Greedy rule generation from discrete data and its use in neural network rule extraction. | Koichi Odajima, Yoichi Hayashi, Rudy Setiono |
| 2005 | IJCNN | Effective neural network pruning using cross-validation. | Thuan Q. Huynh, Rudy Setiono |
| 2004 | IJCNN | Knowledge acquisition and revision via neural networks. | Arnulfo P. Azcarraga, Ming-Huei Hsieh, Shan-Ling Pan, Rudy Setiono |
| 2004 | ICPR | Applying the Conjugate Gradient Method for Text Document Categorization. | Vincent W. L. Tam, Rudy Setiono, Ardi Santoso |
| 2004 | ICPR | A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression. | Wu Wei, Liu Xin, Xu Min, Peng Jinrong, Rudy Setiono |
| 2003 | ICIS | Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling. | Arnulfo P. Azcarraga, Ming-Huei Hsieh, Rudy Setiono |
| 2002 | ICPR | A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization. | Vincent W. L. Tam, Ardi Santoso, Rudy Setiono |
| 2001 | ICIS | Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. | Bart Baesens, Rudy Setiono, Christophe Mues, Stijn Viaene, Jan Vanthienen |
| 2001 | ICTAI | An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks. | Rudy Setiono, Arnulfo P. Azcarraga |
| 2001 | IWANN | Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation. | Rudy Setiono |
| 2000 | GMP | Rapid 3D Model Acquisition from Images of Small Objects. | Wee Kheng Leow, Zhiyong Huang, Yong Zhang, Rudy Setiono |
| 2000 | ICIS | 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 |
| 2000 | IJCNN | Neural Network Pruning for Function Approximation. | Rudy Setiono, Adam E. Gaweda |
| 2000 | PRICAI | Pruned Neural Networks for Regression. | Rudy Setiono, Wee Kheng Leow |
| 1999 | IJCNN | Generating rules from trained network using fast pruning. | Rudy Setiono, Wee Kheng Leow |
| 1998 | DIS | Feature Transformation and Multivariate Decision Tree Induction. | Huan Liu, Rudy Setiono |
| 1998 | ICTAI | Fragmentation problem and automated feature construction. | Rudy Setiono, Huan Liu |
| 1996 | ICML | A Probabilistic Approach to Feature Selection - A Filter Solution. | Huan Liu, Rudy Setiono |
| 1995 | IJCAI | Understanding Neural Networks via Rule Extraction. | Rudy Setiono, Huan Liu |
| 1995 | ICTAI | Chi2: feature selection and discretization of numeric attributes. | Huan Liu, Rudy Setiono |
| 1995 | VLDB | NeuroRule: A Connectionist Approach to Data Mining. | Hongjun Lu, Rudy Setiono, Huan Liu |