Sang‐Woon Kim - Concepedia

Author

Sang‐Woon Kim

Myongji University ORCID

Also Known As

Kim, Sang-Woon, Martínez Sotoca, José, Sang-Woon Kim, Sang‐Woon Kim, Seung-A Cho, 대구가톨릭대학교 경찰행정학과 교수.

133

Publications

893

Citations

H-Index

Concepts

All Affiliations

Myongji University Carleton University University of Agder Xi'an Jiaotong University

About

Sang‐Woon Kim is an author at Myongji University specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	12	321
2	Public Health	2	2	46
3	Natural Sciences	1	1	15
4	Biostatistics	1	1	22
5	Civil Engineering	1	1	61

Sang‐Woon Kim

Publications

669

Citations

H-Index

Page 1

	Year	Citations
Research paper classification systems based on TF-IDF and LDA schemes Sang‐Woon Kim, Joon‐Min Gil Human-centric Computing and Information Sciences	2019	323
Seismic fault detection using convolutional neural networks with focal loss Xiaoli Wei, Chunxia Zhang, Sang‐Woon Kim, Computers & Geosciences Convolutional Neural NetworkEarthquake EngineeringImage AnalysisMachine LearningEngineering	2021	61
Enhancing prototype reduction schemes with LVQ3-type algorithms Sang‐Woon Kim, B. John Oommen Pattern Recognition Mathematical ProgrammingPrototype Reduction SchemesReduced Order ModelingEngineeringParameterized Algorithm	2003	58
On using prototype reduction schemes and classifier fusion strategies to optimize kernel-based nonlinear subspace methods Sang‐Woon Kim, B. John Oommen IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringMachine LearningPrototype Extraction TimeKernel MatrixSupport Vector Machine	2005	29
On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods Sang‐Woon Kim, B. John Oommen Pattern Recognition Numerical AnalysisMathematical ProgrammingPrototype Reduction SchemesLow-rank ApproximationEngineering	2003	24
On utilizing search methods to select subspace dimensions for kernel-based nonlinear subspace classifiers Sang‐Woon Kim, B. John Oommen IEEE Transactions on Pattern Analysis and Machine Intelligence Subspace DimensionsSupport Vector MachineClassification MethodEngineeringMachine Learning	2004	24
A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments B. John Oommen, Sang‐Woon Kim, Mathew Samuel, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) Artificial IntelligenceEngineeringMetalevel Nonstationary EnvironmentsStochastic PhenomenonSpl Problem	2008	22
On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis Sang‐Woon Kim, B. John Oommen IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) EngineeringMachine LearningBiometricsComplexity ReductionImage Analysis	2008	22
On using prototype reduction schemes to optimize dissimilarity-based classification Sang‐Woon Kim, B. John Oommen Pattern Recognition Prototype Reduction SchemesData ClassificationClassification MethodEngineeringMachine Learning	2007	22
Statistical Investigation on Class Mutation Operators Yu‐Seung Ma, Yong Rae Kwon, Sang‐Woon Kim ETRI Journal Software MaintenanceEngineeringMutation TestingSoftware EngineeringSoftware Analysis	2009	21

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