Seokho Kang

About Seokho Kang

Seokho Kang, With an exceptional h-index of 23 and a recent h-index of 22 (since 2020), a distinguished researcher at Sungkyunkwan University, specializes in the field of Industrial Engineering, Data Mining, Machine Learning, Data-Driven Modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data-driven autonomous operation of VOCs removal system

Improving chemical reaction yield prediction using pre-trained graph neural networks

Photovoltaic cell defect detection based on weakly supervised learning with module-level annotations

Score distillation for anomaly detection

Knowledge distillation with insufficient training data for regression

Dynamic ensemble of regression neural networks based on predictive uncertainty

Optimization of missing value imputation for neural networks

Efficient improvement of classification accuracy via selective test-time augmentation

Seokho Kang Information

University

Position

___

Citations(all)

1678

Citations(since 2020)

1427

Cited By

618

hIndex(all)

23

hIndex(since 2020)

22

i10Index(all)

43

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Seokho Kang Skills & Research Interests

Industrial Engineering

Data Mining

Machine Learning

Data-Driven Modeling

Top articles of Seokho Kang

Title

Journal

Author(s)

Publication Date

Data-driven autonomous operation of VOCs removal system

Scientific Reports

Myeonginn Kang

Jongmin Han

Yangjoon Kim

Seongcheon Kim

Seokho Kang

2024/3/12

Improving chemical reaction yield prediction using pre-trained graph neural networks

Journal of Cheminformatics

Jongmin Han

Youngchun Kwon

Youn-Suk Choi

Seokho Kang

2024/3/1

Photovoltaic cell defect detection based on weakly supervised learning with module-level annotations

IEEE Access

Hyungu Kang

Jeongmin Hong

Jiwon Lee

Seokho Kang

2024/1/4

Score distillation for anomaly detection

Knowledge-Based Systems

Jeongmin Hong

Seokho Kang

2024/7/8

Knowledge distillation with insufficient training data for regression

Engineering Applications of Artificial Intelligence

Myeonginn Kang

Seokho Kang

2024/6/1

Dynamic ensemble of regression neural networks based on predictive uncertainty

Computers & Industrial Engineering

Yoonhyung Lee

Seokho Kang

2024/4

Optimization of missing value imputation for neural networks

Information Sciences

Jongmin Han

Seokho Kang

2023/11

Efficient improvement of classification accuracy via selective test-time augmentation

Information Sciences

Jongwook Son

Seokho Kang

2023/9

Surrogate approach to uncertainty quantification of neural networks for regression

Applied Soft Computing

Myeonginn Kang

Seokho Kang

2023/5

Learning from single-defect wafer maps to classify mixed-defect wafer maps

Expert Systems with Applications

Jaewoong Shim

Seokho Kang

2023/12/15

Semi-supervised rotation-invariant representation learning for wafer map pattern analysis

Engineering Applications of Artificial Intelligence

Hyungu Kang

Seokho Kang

2023/4

Retention time prediction through learning from a small training data set with a pretrained graph neural network

Analytical Chemistry

Youngchun Kwon

Hyukju Kwon

Jongmin Han

Myeonginn Kang

Ji-Yeong Kim

...

2023/11/28

Class-adaptive data augmentation for image classification

IEEE Access

Jisu Yoo

Seokho Kang

2023/3/16

Supervised contrastive learning for wafer map pattern classification

Engineering Applications of Artificial Intelligence

Youngjae Bae

Seokho Kang

2023/11/1

Domain-adaptive active learning for cost-effective virtual metrology modeling

Computers in Industry

Jaewoong Shim

Seokho Kang

2022/2/1

Generative modeling to predict multiple suitable conditions for chemical reactions

Journal of Chemical Information and Modeling

Youngchun Kwon

Sun Kim

Youn-Suk Choi

Seokho Kang

2022/12/12

Uncertainty-aware prediction of chemical reaction yields with graph neural networks

Journal of Cheminformatics

Youngchun Kwon

Dongseon Lee

Youn-Suk Choi

Seokho Kang

2022/1/10

Scalable graph neural network for NMR chemical shift prediction

Physical Chemistry Chemical Physics

Jongmin Han

Hyungu Kang

Seokho Kang

Youngchun Kwon

Dongseon Lee

...

2022/11

Using binary classifiers for one-class classification

Expert Systems with Applications

Seokho Kang

2022/1/1

Dynamic imputation for improved training of neural network with missing values

Expert Systems with Applications

Jongmin Han

Seokho Kang

2022/5/15

See List of Professors in Seokho Kang University(Sungkyunkwan University)

Co-Authors

academic-engine