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S
Sang‐Woon Kim
Myongji University
13
H指数
132
论文数
891
被引数
0
相关解读
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18
发表时间
发表时间
IF
被引数
Seismic Data Interpolation via Denoising Diffusion Implicit Models With Coherence-Corrected Resampling
通过相干校正重采样的去噪扩散隐式模型进行地震数据插值
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
IF
8.6
2024-01-01
0
OA
AI
Wei, Xiaoli; Zhang, Chunxia; Wang, Hongtao; Tan, Chengli; Xiong, Deng; Jiang, Baisong; Zhang, Jiangshe; Kim, Sang-Woon
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Seismic fault detection using convolutional neural networks with focal loss
COMPUTERS & GEOSCIENCES
IF
4.4
2022-01-01
41
PRE
AI
Wei, Xiao-Li; Zhang, Chun-Xia; Kim, Sang-Woon; Jing, Kai-Li; Wang, Yong-Jun; Xu, Shuang; Xie, Zhuang-Zhuang
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Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
IF
8.6
2022-01-01
2
PRE
AI
Wei, Xiaoli; Zhang, Chunxia; Wang, Hongtao; Zhao, Zixiang; Xiong, Deng; Xu, Shuang; Zhang, Jiangshe; Kim, Sang-Woon
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Research paper classification systems based on TF-IDF and LDA schemes
基于tf-idf和LDA方案的论文分类系统研究
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
IF
3
2019-08-26
144
OA
AI
Kim, Sang-Woon; Gil, Joon-Min
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On selective learning in stochastic stepwise ensembles
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
IF
2.7
2019-06-06
3
PRE
AI
Zhang, Chun-Xia; Kim, Sang-Woon; Zhang, Jiang-She
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Multi-view based unlabeled data selection using feature transformation methods for semiboost learning
NEUROCOMPUTING
IF
6.5
2017-08-01
0
PRE
AI
Le, Thanh-Binh; Hong, Sugwon; Kim, Sang-Woon
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On measuring confidence levels using multiple views of feature set for useful unlabeled data selection
NEUROCOMPUTING
IF
6.5
2016-01-01
3
OA
AI
Thanh-Binh Le; Kim, Sang-Woon
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Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines
PATTERN RECOGNITION LETTERS
IF
3.3
2015-08-01
6
PRE
AI
Le, Thanh-Binh; Kim, Sang-Woon
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On incrementally using a small portion of strong unlabeled data for semi-supervised learning algorithms
PATTERN RECOGNITION LETTERS
IF
3.3
2014-05-01
9
PRE
AI
Le, Thanh-Binh; Kim, Sang-Woon
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On using prototype reduction schemes to optimize locally linear reconstruction methods
PATTERN RECOGNITION
IF
7.6
2012-01-01
1
OA
AI
Kim, Sang-Woon; Oommen, B. John
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An empirical evaluation on dimensionality reduction schemes for dissimilarity-based classifications
PATTERN RECOGNITION LETTERS
IF
3.3
2011-04-01
6
PRE
AI
Kim, Sang-Woon
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A pre-clustering technique for optimizing subclass discriminant analysis
PATTERN RECOGNITION LETTERS
IF
3.3
2010-04-01
14
PRE
AI
Kim, Sang-Woon
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On using prototype reduction schemes to enhance the computation of volume-based inter-class overlap measures
PATTERN RECOGNITION
IF
7.6
2009-11-01
12
PRE
AI
Kim, Sang-Woon; Oommen, B. John
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On using prototype reduction schemes to optimize dissimilarity-based classification
PATTERN RECOGNITION
IF
7.6
2007-11-01
20
PRE
AI
Kim, Sang-Woon; Oommen, B. John
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On the estimation of independent binomial random variables using occurrence and sequential information
关于使用发生和顺序信息估计独立的二项式随机变量
PATTERN RECOGNITION
IF
7.6
2007-11-01
5
PRE
AI
Oommen, B. John; Kim, Sang-Woon; Horn, Geir
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Prototype reduction schemes applicable for non-stationary data sets
PATTERN RECOGNITION
IF
7.6
2006-02-01
3
PRE
AI
Kim, SW; Oommen, BJ
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On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods
PATTERN RECOGNITION
IF
7.6
2004-02-01
26
OA
AI
Kim, SW; Oommen, BJ
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Enhancing prototype reduction schemes with LVQ3-type algorithms
PATTERN RECOGNITION
IF
7.6
2003-05-01
45
OA
AI
Kim, SW; Oommen, BJ
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研究方向
暂时未获取到该数据
合作学者
合作期刊
J
Jiangshe Zhang
H 指数: 40 · 论文数: 232
B
B. John Oommen
H 指数: 37 · 论文数: 462
S
Shuang Xu
H 指数: 32 · 论文数: 229
张春霞
(Chunxia Zhang)
H 指数: 27 · 论文数: 179
Y
Yongjun Wang
H 指数: 23 · 论文数: 188
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