2006 |
10 | EE | Ha-Nam Nguyen,
Syng-Yup Ohn:
Unified Kernel Function and Its Training Method for SVM.
ICONIP (1) 2006: 792-800 |
9 | EE | Ha-Nam Nguyen,
Syng-Yup Ohn:
DRFE: Dynamic Recursive Feature Elimination for Gene Identification Based on Random Forest.
ICONIP (3) 2006: 1-10 |
8 | EE | Ha-Nam Nguyen,
Trung-Nghia Vu,
Syng-Yup Ohn,
Young-Mee Park,
Mi Young Han,
Chul-Woo Kim:
Feature Elimination Approach Based on Random Forest for Cancer Diagnosis.
MICAI 2006: 532-542 |
7 | EE | Ha-Nam Nguyen,
Syng-Yup Ohn,
Soo-hoan Chae,
Dong Ho Song,
Inbok Lee:
Optimizing Weighted Kernel Function for Support Vector Machine by Genetic Algorithm.
MICAI 2006: 583-592 |
2005 |
6 | EE | Dong Seong Kim,
Ha-Nam Nguyen,
Jong Sou Park:
Genetic Algorithm to Improve SVM Based Network Intrusion Detection System.
AINA 2005: 155-158 |
5 | EE | Ha-Nam Nguyen,
Syng-Yup Ohn,
Jaehyun Park,
Kyu-Sik Park:
Combined Kernel Function Approach in SVM for Diagnosis of Cancer.
ICNC (1) 2005: 1017-1026 |
4 | EE | Dong Seong Kim,
Ha-Nam Nguyen,
Syng-Yup Ohn,
Jong Sou Park:
Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System.
ISNN (3) 2005: 415-420 |
2004 |
3 | EE | Syng-Yup Ohn,
Ha-Nam Nguyen,
Sung-Do Chi:
Evolutionary Parameter Estimation Algorithm for Combined Kernel Function in Support Vector Machine.
AWCC 2004: 481-486 |
2 | EE | Syng-Yup Ohn,
Ha-Nam Nguyen,
Dong Seong Kim,
Jong Sou Park:
Determining Optimal Decision Model for Support Vector Machine by Genetic Algorithm.
CIS 2004: 895-902 |
1 | EE | Ha-Nam Nguyen,
Syng-Yup Ohn,
Woo-Jin Choi:
Combined Kernel Function for Support Vector Machine and Learning Method Based on Evolutionary Algorithm.
ICONIP 2004: 1273-1278 |