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:

Score distillation for anomaly detection

Knowledge distillation with insufficient training data for regression

Dynamic ensemble of regression neural networks based on predictive uncertainty

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

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

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

Seokho Kang Information

University

Position

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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

Score distillation for anomaly detection

Knowledge-Based Systems

2024/7/8

Jeongmin Hong
Jeongmin Hong

H-Index: 15

Seokho Kang
Seokho Kang

H-Index: 14

Knowledge distillation with insufficient training data for regression

Engineering Applications of Artificial Intelligence

2024/6/1

Myeonginn Kang
Myeonginn Kang

H-Index: 1

Seokho Kang
Seokho Kang

H-Index: 14

Dynamic ensemble of regression neural networks based on predictive uncertainty

Computers & Industrial Engineering

2024/4

Yoonhyung Lee
Yoonhyung Lee

H-Index: 2

Seokho Kang
Seokho Kang

H-Index: 14

Data-driven autonomous operation of VOCs removal system

Scientific Reports

2024/3/12

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

Journal of Cheminformatics

2024/3/1

Jongmin Han
Jongmin Han

H-Index: 0

Seokho Kang
Seokho Kang

H-Index: 14

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

IEEE Access

2024/1/4

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

Expert Systems with Applications

2023/12/15

Jaewoong Shim
Jaewoong Shim

H-Index: 3

Seokho Kang
Seokho Kang

H-Index: 14

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

Analytical Chemistry

2023/11/28

Supervised contrastive learning for wafer map pattern classification

Engineering Applications of Artificial Intelligence

2023/11/1

Seokho Kang
Seokho Kang

H-Index: 14

Optimization of missing value imputation for neural networks

Information Sciences

2023/11

Jongmin Han
Jongmin Han

H-Index: 0

Seokho Kang
Seokho Kang

H-Index: 14

Efficient improvement of classification accuracy via selective test-time augmentation

Information Sciences

2023/9

Seokho Kang
Seokho Kang

H-Index: 14

Surrogate approach to uncertainty quantification of neural networks for regression

Applied Soft Computing

2023/5

Myeonginn Kang
Myeonginn Kang

H-Index: 1

Seokho Kang
Seokho Kang

H-Index: 14

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

Engineering Applications of Artificial Intelligence

2023/4

Hyungu Kang
Hyungu Kang

H-Index: 2

Seokho Kang
Seokho Kang

H-Index: 14

Class-adaptive data augmentation for image classification

IEEE Access

2023/3/16

Seokho Kang
Seokho Kang

H-Index: 14

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

Journal of Cheminformatics

2022/1/10

Seokho Kang
Seokho Kang

H-Index: 14

Using binary classifiers for one-class classification

Expert Systems with Applications

2022/1/1

Seokho Kang
Seokho Kang

H-Index: 14

Generative modeling to predict multiple suitable conditions for chemical reactions

Journal of Chemical Information and Modeling

2022/12/12

Sun Kim
Sun Kim

H-Index: 21

Seokho Kang
Seokho Kang

H-Index: 14

Scalable graph neural network for NMR chemical shift prediction

Physical Chemistry Chemical Physics

2022/11

Dynamic imputation for improved training of neural network with missing values

Expert Systems with Applications

2022/5/15

Jongmin Han
Jongmin Han

H-Index: 0

Seokho Kang
Seokho Kang

H-Index: 14

ADANOISE: Training neural networks with adaptive noise for imbalanced data classification

Expert Systems with Applications

2022/4/15

Seokho Kang
Seokho Kang

H-Index: 14

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

Co-Authors

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