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Syng-Yup Ohn
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2020 – today
- 2024
- [j3]Stephen Akosah
, Ivan Gratchev
Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review. Remote. Sens. 16(16): 2947 (2024)
2010 – 2019
- 2016
- [j2]Syng-Yup Ohn, Sung-Do Chi, Chan Heo:
Identification of breast cancer by classification of proteome patterns. Int. J. Model. Simul. Sci. Comput. 7(4): 1643004:1-1643004:9 (2016)
2000 – 2009
- 2009
- [j1]Trung-Nghia Vu
A Filter Method for Feature Selection for SELDI-TOF Mass Spectrum. IEICE Trans. Inf. Syst. 92-D(2): 346-348 (2009) - 2008
- [c18]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
- [c17]Inbok Lee, Costas S. Iliopoulos, Syng-Yup Ohn:
Transformation of Suffix Arrays into Suffix Trees on the MPI Environment. RSFDGrC 2007: 248-255 - 2006
- [c16]Ha-Nam Nguyen, Syng-Yup Ohn:
DRFE: Dynamic Recursive Feature Elimination for Gene Identification Based on Random Forest. ICONIP (3) 2006: 1-10 - [c15]Ha-Nam Nguyen, Syng-Yup Ohn:
Unified Kernel Function and Its Training Method for SVM. ICONIP (1) 2006: 792-800 - [c14]Syng-Yup Ohn:
Neighborhood Decomposition of Convex Structuring Elements for Mathematical Morphology on Hexagonal Grid. ISCIS 2006: 511-521 - [c13]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 - [c12]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
- [c11]Syng-Yup Ohn:
Neighborhood Decomposition of 3D Convex Structuring Elements for Morphological Operations. CAIP 2005: 644-651 - [c10]Syng-Yup Ohn:
Decomposition of 3D Convex Structuring Element in Morphological Operation for Parallel Processing Architectures. ICIAR 2005: 676-685 - [c9]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 - [c8]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
- [c7]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 - [c6]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 - [c5]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 - [c4]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
- [c3]Tae-Ha Kang, Tae-Seung Lee, Syng-Yup Ohn, Byong-Won Hwang:
A Novel Edge Enhanced Error Diffusion. DICTA 2003: 539-548 - [c2]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
1990 – 1999
- 1994
- [c1]Syng-Yup Ohn, Edward K. Wong:
Morphological Decomposition of Convex Polytopes and its Application in Discrete Image Space. ICIP (2) 1994: 560-564
Coauthor Index
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