Seokho Kang

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 38

Top Topics

Support Vector Machine

Pattern Classification

Top Venues

Expert Syst. Appl.

Comput. Ind. Eng.

J. Cheminformatics

J. Chem. Inf. Model.

Publications

Seokho Kang
Using binary classifiers for one-class classification. Expert Syst. Appl. 187 (2022)
Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Seokho Kang
Uncertainty-aware prediction of chemical reaction yields with graph neural networks. J. Cheminformatics 14 (1) (2022)
Kyoham Shin, Seokho Kang
ADANOISE: Training neural networks with adaptive noise for imbalanced data classification. Expert Syst. Appl. 192 (2022)
Hyung Min Kim, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seokho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha, Sung-Hoo Hong
Machine learning-based prediction model for late recurrence after surgery in patients with renal cell carcinoma. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Jaewoong Shim, Seokho Kang
Domain-adaptive active learning for cost-effective virtual metrology modeling. Comput. Ind. 135 (2022)
Suhee Yoon, Seokho Kang
Semi-automatic wafer map pattern classification with convolutional neural networks. Comput. Ind. Eng. 166 (2022)
Jongmin Han, Seokho Kang
Dynamic imputation for improved training of neural network with missing values. Expert Syst. Appl. 194 (2022)
Myeonginn Kang, Seokho Kang
Data-free knowledge distillation in neural networks for regression. Expert Syst. Appl. 175 (2021)
Hyungu Kang, Seokho Kang
A stacking ensemble classifier with handcrafted and convolutional features for wafer map pattern classification. Comput. Ind. 129 (2021)
Seokho Kang
Product failure prediction with missing data using graph neural networks. Neural Comput. Appl. 33 (12) (2021)
Jaewoong Shim, Seokho Kang, Sungzoon Cho
Active cluster annotation for wafer map pattern classification in semiconductor manufacturing. Expert Syst. Appl. 183 (2021)
Jaeho Kim, Seokho Kang
Model-Agnostic Post-Processing Based on Recursive Feedback for Medical Image Segmentation. IEEE Access 9 (2021)
Jongmin Han, Seokho Kang
Active learning with missing values considering imputation uncertainty. Knowl. Based Syst. 224 (2021)
Kyoham Shin, Jongmin Han, Seokho Kang
MI-MOTE: Multiple imputation-based minority oversampling technique for imbalanced and incomplete data classification. Inf. Sci. 575 (2021)
Dongil Kim, Seokho Kang, Sungzoon Cho
Expected margin-based pattern selection for support vector machines. Expert Syst. Appl. 139 (2020)
Jaewoong Shim, Seokho Kang, Sungzoon Cho
Kernel Rotation Forests for Classification. BigComp (2020)
Seokho Kang
Joint modeling of classification and regression for improving faulty wafer detection in semiconductor manufacturing. J. Intell. Manuf. 31 (2) (2020)
Seokho Kang
Model validation failure in class imbalance problems. Expert Syst. Appl. 146 (2020)
Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Kyoham Shin, Seokho Kang
Compressed graph representation for scalable molecular graph generation. J. Cheminformatics 12 (1) (2020)
Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Myeonginn Kang, Seokho Kang
Neural Message Passing for NMR Chemical Shift Prediction. J. Chem. Inf. Model. 60 (4) (2020)
Seokho Kang, Youngchun Kwon, Dongseon Lee, Youn-Suk Choi
Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level Annotations. J. Chem. Inf. Model. 60 (8) (2020)
Seokho Kang
Rotation-Invariant Wafer Map Pattern Classification With Convolutional Neural Networks. IEEE Access 8 (2020)
Hwehee Chung, Jongho Park, Jongsoo Keum, Hongdo Ki, Seokho Kang
Unsupervised Anomaly Detection Using Style Distillation. IEEE Access 8 (2020)
Dongil Kim, Jeongin Koo, Hyein Kim, Seokho Kang, Sang-Hyun Lee, Jeong-Tae Kang
Rapid fault cause identification in surface mount technology processes based on factory-wide data analysis. Int. J. Distributed Sens. Networks 15 (2) (2019)
Seokho Kang, Dongil Kim, Sungzoon Cho
Approximate training of one-class support vector machines using expected margin. Comput. Ind. Eng. 130 (2019)
Jaehong Yu, Seokho Kang
Clustering-based proxy measure for optimizing one-class classifiers. Pattern Recognit. Lett. 117 (2019)
Elman Mansimov, Omar Mahmood, Seokho Kang, Kyunghyun Cho
Molecular geometry prediction using a deep generative graph neural network. CoRR (2019)
Seokho Kang, Kyunghyun Cho
Conditional Molecular Design with Deep Generative Models. J. Chem. Inf. Model. 59 (1) (2019)
Youngchun Kwon, Jiho Yoo, Youn-Suk Choi, Wonjoon Song, Dongseon Lee, Seokho Kang
Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation. J. Cheminformatics 11 (1) (2019)
Seokho Kang, Pilsung Kang
Locally linear ensemble for regression. Inf. Sci. 432 (2018)
Seokho Kang
Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks. Artif. Intell. Medicine 85 (2018)
Seokho Kang, Eunji Kim, Jaewoong Shim, Wonsang Chang, Sungzoon Cho
Product failure prediction with missing data. Int. J. Prod. Res. 56 (14) (2018)
Seokho Kang, Kyunghyun Cho
Conditional molecular design with deep generative models. CoRR (2018)
Youngdoo Son, Seokho Kang
Regression with re-labeling for noisy data. Expert Syst. Appl. 114 (2018)
Misuk Kim, Seokho Kang, Jehyuk Lee, Hyunchang Cho, Sungzoon Cho, Jee Su Park
Virtual metrology for copper-clad laminate manufacturing. Comput. Ind. Eng. 109 (2017)
Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho, Wonsang Chang, Junhwan Kim
Mining the relationship between production and customer service data for failure analysis of industrial products. Comput. Ind. Eng. 106 (2017)
Seokho Kang, Sungzoon Cho, Su-jin Rhee, Kyung-Sang Yu
Reliable prediction of anti-diabetic drug failure using a reject option. Pattern Anal. Appl. 20 (3) (2017)
Jiwon Yang, Seung-kyung Lee, Seokho Kang, Sungzoon Cho, Young-Hak Lee, Hae-Sang Park
Ranking process parameter association with low yield wafers using spec-out event network analysis. Comput. Ind. Eng. 113 (2017)
Seokho Kang, Sungzoon Cho, Pilsung Kang
Multi-class classification via heterogeneous ensemble of one-class classifiers. Eng. Appl. Artif. Intell. 43 (2015)
Seokho Kang, Pilsung Kang, Taehoon Ko, Sungzoon Cho, Su-jin Rhee, Kyung-Sang Yu
An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction. Expert Syst. Appl. 42 (9) (2015)
Dongil Kim, Pilsung Kang, Seung-kyung Lee, Seokho Kang, Seungyong Doh, Sungzoon Cho
Improvement of virtual metrology performance by removing metrology noises in a training dataset. Pattern Anal. Appl. 18 (1) (2015)
Seokho Kang, Sungzoon Cho
A novel multi-class classification algorithm based on one-class support vector machine. Intell. Data Anal. 19 (4) (2015)
Seokho Kang, Sungzoon Cho, Pilsung Kang
Constructing a multi-class classifier using one-against-one approach with different binary classifiers. Neurocomputing 149 (2015)
Seokho Kang, Sungzoon Cho
Optimal construction of one-against-one classifier based on meta-learning. Neurocomputing 167 (2015)
Seokho Kang, Sungzoon Cho
Approximating support vector machine with artificial neural network for fast prediction. Expert Syst. Appl. 41 (10) (2014)
Seung-kyung Lee, Bongseok Kim, Minhoe Huh, Jooseoung Park, Seokho Kang, Sungzoon Cho, Dongha Lee, Daehyung Lee
Knowledge discovery in inspection reports of marine structures. Expert Syst. Appl. 41 (4) (2014)