- PROCEEDINGS OF IEEE, VOL. XX, NO. YY, 2003 1 Computational intelligence methods for rulebased
- NeuralNetwork Feature Selector Rudy Setiono and Huan Liu
- Appears in the Proceedings of the 14th International Joint Conference on Artificial Intelligence, pp. 480485 Understanding Neural Networks via Rule Extraction
- Symbolic Representation of Neural Networks Rudy Setiono and Huan Liu
- E ective Query Size Estimation Using Neural Networks Hongjun Lu Rudy Setiono 1
- A Connectionist Approach to Generating Oblique Decision Trees
- Neural Computation, Vol. 9, No. 1, pp. 205--225 Extracting rules from neural networks
- Generating concise and accurate classification rules for breast cancer diagnosis
- NeuroRule: A Connectionist Approach to Data Mining Hongjun Lu Rudy Setiono Huan Liu
- Generating concise and accurate classification rules for breast cancer diagnosis
- Techniques for Extracting Rules from Artificial Neural Networks
- To appear in Neurocomputing NeuroLinear: From neural networks to oblique decision rules
- Computational Intelligence Methods for Rule-Based Data Understanding
- An Approach to Generate Rules from Neural Networks for Regression Problems
- A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders
- Appears in Applied Intelligence, Vol. 6, No. 2, 1996, pp. 129--140 Improving Backpropagation Learning with Feature Selection
- Manuscript No. 2296 Feedforward neural network construction
- To appear in Neurocomputing On the solution of the parity problem by a single hidden
- Computational Intelligence Methods For Rule-Based Data Understanding
- Extracting M-of-N Rules from Trained Neural Networks Rudy Setiono
- Extraction of Rules from Arti cial Neural Networks for Nonlinear Regression
- Appears in Artificial Intelligence in Medicine, Vol. 8, No. 1, February 1996, pp. 37--51 Extracting rules from pruned neural networks
- Curriculum Vitae of Rudy Setiono Contact information
- Neural Computation, Vol. 9, No. 1, pp. 185--204 A penaltyfunction approach for pruning feedforward neural networks
- On Mapping Decision Trees and Neural Networks Rudy Setiono and Wee Kheng Leow
- To appear in Proceedings of the IEEE 7th International Conference on Tools with Artificial Intelligence Chi2: Feature Selection and Discretization of Numeric Attributes
- Using neural network rule extraction and decision tables as management science tools for credit-risk
- Fragmentation Problem and Automated Feature Construction
- Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks
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- FERNN: An algorithm for Fast Extraction of Rules from Neural Networks
- Curriculum Vitae of Rudy Setiono Contact information
