2008 |
18 | EE | Trung-Nghia Vu,
Syng-Yup Ohn,
Chul-Woo Kim:
RISC: A New Filter Approach for Feature Selection from Proteomic Data.
ICMB 2008: 17-24 |
2007 |
17 | EE | Inbok Lee,
Costas S. Iliopoulos,
Syng-Yup Ohn:
Transformation of Suffix Arrays into Suffix Trees on the MPI Environment.
RSFDGrC 2007: 248-255 |
2006 |
16 | EE | Ha-Nam Nguyen,
Syng-Yup Ohn:
Unified Kernel Function and Its Training Method for SVM.
ICONIP (1) 2006: 792-800 |
15 | EE | Ha-Nam Nguyen,
Syng-Yup Ohn:
DRFE: Dynamic Recursive Feature Elimination for Gene Identification Based on Random Forest.
ICONIP (3) 2006: 1-10 |
14 | EE | Syng-Yup Ohn:
Neighborhood Decomposition of Convex Structuring Elements for Mathematical Morphology on Hexagonal Grid.
ISCIS 2006: 511-521 |
13 | 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 |
12 | 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 |
11 | EE | Syng-Yup Ohn:
Neighborhood Decomposition of 3D Convex Structuring Elements for Morphological Operations.
CAIP 2005: 644-651 |
10 | EE | Syng-Yup Ohn:
Decomposition of 3D Convex Structuring Element in Morphological Operation for Parallel Processing Architectures.
ICIAR 2005: 676-685 |
9 | 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 |
8 | 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 |
7 | EE | Jong-Keun Lee,
Min-Woo Lee,
Jang-Se Lee,
Sung-Do Chi,
Syng-Yup Ohn:
Automated Cyber-attack Scenario Generation Using the Symbolic Simulation.
AIS 2004: 380-389 |
6 | 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 |
5 | 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 |
4 | 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 |
2003 |
3 | EE | Tae-Ha Kang,
Tae-Seung Lee,
Syng-Yup Ohn,
Byong-Won Hwang:
A Novel Edge Enhanced Error Diffusion.
DICTA 2003: 539-548 |
2 | EE | Hyeong-Taek Park,
Tae-Seung Lee,
Sung-Won Choi,
Sang-Seok Lim,
Syng-Yup Ohn,
Seung-Hoe Choi,
Byong-Won Hwang:
Measurement System of Traffic Flow Using Real-Time Processing of Moving Pictures.
IEA/AIE 2003: 296-305 |
1994 |
1 | | Syng-Yup Ohn,
Edward K. Wong:
Morphological Decomposition of Convex Polytopes and its Application in Discrete Image Space.
ICIP (2) 1994: 560-564 |