Seokho Kang - RankMe

68 papers A* 1A 1Journal 65Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer. AAAI Yulim So, Seokho Kang
2026	J	`jnl`	Consistency-regularized graph neural networks for molecular property prediction. Neural Networks Jongmin Han, Seokho Kang
2026	J	`jnl`	Guest Editorial:Beyond Classic Deep Learning: Algorithms for Dealing With Real-World Applications in Industrial Automation. IEEE Trans Autom. Sci. Eng. Gian Antonio Susto, Olga Fink, Seokho Kang, Lars Mönch, Davide Dalle Pezze
2026	J	`jnl`	PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection. CoRR Jinju Park, Seokho Kang
2025	J	`jnl`	AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer. CoRR Yulim So, Seokho Kang
2025	J	`jnl`	Enhancing chemical reaction search through contrastive representation learning and human-in-the-loop. J. Cheminformatics Youngchun Kwon, Hyunjeong Jeon, Joonhyuk Choi, Youn-Suk Choi, Seokho Kang
2025	J	`jnl`	Interpretation of chemical reaction yields with graph neural additive network. Mach. Learn. Sci. Technol. Youngchun Kwon, Yongsik Jung, Youn-Suk Choi, Seokho Kang
2025	J	`jnl`	Why does this query need to be labeled?: Enhancing active learning through explanation-based interventions in query selection. Expert Syst. Appl. Jaewoong Shim, Seokho Kang
2024	J	`jnl`	Dynamic ensemble of regression neural networks based on predictive uncertainty. Comput. Ind. Eng. Yoonhyung Lee, Seokho Kang
2024	J	`jnl`	Improving chemical reaction yield prediction using pre-trained graph neural networks. J. Cheminformatics Jongmin Han, Youngchun Kwon, Youn-Suk Choi, Seokho Kang
2024	J	`jnl`	Knowledge distillation with insufficient training data for regression. Eng. Appl. Artif. Intell. Myeonginn Kang, Seokho Kang
2024	A	`conf`	Mixup Your Own Latent: Efficient and Robust Self-Supervised Learning on Small Images. ECAI Eugene Yang, Hao Chen, Seokho Kang
2024	J	`jnl`	Photovoltaic Cell Defect Detection Based on Weakly Supervised Learning With Module-Level Annotations. IEEE Access Hyungu Kang, Jeongmin Hong, Jiwon Lee, Seokho Kang
2024	J	`jnl`	Score distillation for anomaly detection. Knowl. Based Syst. Jeongmin Hong, Seokho Kang
2024	J	`jnl`	Training-free approach to constructing ensemble of local experts. Expert Syst. Appl. Sunbin Lee, Seokho Kang
2023	J	`jnl`	Class-Adaptive Data Augmentation for Image Classification. IEEE Access Jisu Yoo, Seokho Kang
2023	J	`jnl`	Efficient improvement of classification accuracy via selective test-time augmentation. Inf. Sci. Jongwook Son, Seokho Kang
2023	J	`jnl`	Learning from single-defect wafer maps to classify mixed-defect wafer maps. Expert Syst. Appl. Jaewoong Shim, Seokho Kang
2023	J	`jnl`	Optimization of missing value imputation for neural networks. Inf. Sci. Jongmin Han, Seokho Kang
2023	J	`jnl`	Semi-supervised rotation-invariant representation learning for wafer map pattern analysis. Eng. Appl. Artif. Intell. Hyungu Kang, Seokho Kang
2023	J	`jnl`	Supervised contrastive learning for wafer map pattern classification. Eng. Appl. Artif. Intell. Youngjae Bae, Seokho Kang
2023	J	`jnl`	Surrogate approach to uncertainty quantification of neural networks for regression. Appl. Soft Comput. Myeonginn Kang, Seokho Kang
2022	J	`jnl`	ADANOISE: Training neural networks with adaptive noise for imbalanced data classification. Expert Syst. Appl. Kyoham Shin, Seokho Kang
2022	J	`jnl`	Domain-adaptive active learning for cost-effective virtual metrology modeling. Comput. Ind. Jaewoong Shim, Seokho Kang
2022	J	`jnl`	Dynamic imputation for improved training of neural network with missing values. Expert Syst. Appl. Jongmin Han, Seokho Kang
2022	J	`jnl`	Generative Modeling to Predict Multiple Suitable Conditions for Chemical Reactions. J. Chem. Inf. Model. Youngchun Kwon, Sun Kim, Youn-Suk Choi, Seokho Kang
2022	J	`jnl`	Semi-automatic wafer map pattern classification with convolutional neural networks. Comput. Ind. Eng. Suhee Yoon, Seokho Kang
2022	J	`jnl`	Uncertainty-aware prediction of chemical reaction yields with graph neural networks. J. Cheminformatics Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Seokho Kang
2022	J	`jnl`	Using binary classifiers for one-class classification. Expert Syst. Appl. Seokho Kang
2021	J	`jnl`	A stacking ensemble classifier with handcrafted and convolutional features for wafer map pattern classification. Comput. Ind. Hyungu Kang, Seokho Kang
2021	J	`jnl`	Active cluster annotation for wafer map pattern classification in semiconductor manufacturing. Expert Syst. Appl. Jaewoong Shim, Seokho Kang, Sungzoon Cho
2021	J	`jnl`	Active learning with missing values considering imputation uncertainty. Knowl. Based Syst. Jongmin Han, Seokho Kang
2021	J	`jnl`	Data-free knowledge distillation in neural networks for regression. Expert Syst. Appl. Myeonginn Kang, Seokho Kang
2021	J	`jnl`	MI-MOTE: Multiple imputation-based minority oversampling technique for imbalanced and incomplete data classification. Inf. Sci. Kyoham Shin, Jongmin Han, Seokho Kang
2021	J	`jnl`	Model-Agnostic Post-Processing Based on Recursive Feedback for Medical Image Segmentation. IEEE Access Jaeho Kim, Seokho Kang
2021	J	`jnl`	Product failure prediction with missing data using graph neural networks. Neural Comput. Appl. Seokho Kang
2020	J	`jnl`	Compressed graph representation for scalable molecular graph generation. J. Cheminformatics Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Kyoham Shin, Seokho Kang
2020	J	`jnl`	Expected margin-based pattern selection for support vector machines. Expert Syst. Appl. Dongil Kim, Seokho Kang, Sungzoon Cho
2020	J	`jnl`	Joint modeling of classification and regression for improving faulty wafer detection in semiconductor manufacturing. J. Intell. Manuf. Seokho Kang
2020	—	`conf`	Kernel Rotation Forests for Classification. BigComp Jaewoong Shim, Seokho Kang, Sungzoon Cho
2020	J	`jnl`	Model validation failure in class imbalance problems. Expert Syst. Appl. Seokho Kang
2020	J	`jnl`	Neural Message Passing for NMR Chemical Shift Prediction. J. Chem. Inf. Model. Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Myeonginn Kang, Seokho Kang
2020	J	`jnl`	Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level Annotations. J. Chem. Inf. Model. Seokho Kang, Youngchun Kwon, Dongseon Lee, Youn-Suk Choi
2020	J	`jnl`	Rotation-Invariant Wafer Map Pattern Classification With Convolutional Neural Networks. IEEE Access Seokho Kang
2020	J	`jnl`	Unsupervised Anomaly Detection Using Style Distillation. IEEE Access Hwehee Chung, Jongho Park, Jongsoo Keum, Hongdo Ki, Seokho Kang
2019	J	`jnl`	Approximate training of one-class support vector machines using expected margin. Comput. Ind. Eng. Seokho Kang, Dongil Kim, Sungzoon Cho
2019	J	`jnl`	Clustering-based proxy measure for optimizing one-class classifiers. Pattern Recognit. Lett. Jaehong Yu, Seokho Kang
2019	J	`jnl`	Conditional Molecular Design with Deep Generative Models. J. Chem. Inf. Model. Seokho Kang, Kyunghyun Cho
2019	J	`jnl`	Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation. J. Cheminformatics Youngchun Kwon, Jiho Yoo, Youn-Suk Choi, Wonjoon Song, Dongseon Lee, Seokho Kang
2019	J	`jnl`	Molecular geometry prediction using a deep generative graph neural network. CoRR Elman Mansimov, Omar Mahmood, Seokho Kang, Kyunghyun Cho
2019	J	`jnl`	Rapid fault cause identification in surface mount technology processes based on factory-wide data analysis. Int. J. Distributed Sens. Networks Dongil Kim, Jeongin Koo, Hyein Kim, Seokho Kang, Sang-Hyun Lee, Jeong-Tae Kang
2018	J	`jnl`	Conditional molecular design with deep generative models. CoRR Seokho Kang, Kyunghyun Cho
2018	J	`jnl`	Locally linear ensemble for regression. Inf. Sci. Seokho Kang, Pilsung Kang
2018	J	`jnl`	Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks. Artif. Intell. Medicine Seokho Kang
2018	J	`jnl`	Product failure prediction with missing data. Int. J. Prod. Res. Seokho Kang, Eunji Kim, Jaewoong Shim, Wonsang Chang, Sungzoon Cho
2018	J	`jnl`	Regression with re-labeling for noisy data. Expert Syst. Appl. Youngdoo Son, Seokho Kang
2017	J	`jnl`	Mining the relationship between production and customer service data for failure analysis of industrial products. Comput. Ind. Eng. Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho, Wonsang Chang, Junhwan Kim
2017	J	`jnl`	Ranking process parameter association with low yield wafers using spec-out event network analysis. Comput. Ind. Eng. Jiwon Yang, Seung-kyung Lee, Seokho Kang, Sungzoon Cho, Young-Hak Lee, Hae-Sang Park
2017	J	`jnl`	Reliable prediction of anti-diabetic drug failure using a reject option. Pattern Anal. Appl. Seokho Kang, Sungzoon Cho, Su-jin Rhee, Kyung-Sang Yu
2017	J	`jnl`	Virtual metrology for copper-clad laminate manufacturing. Comput. Ind. Eng. Misuk Kim, Seokho Kang, Jehyuk Lee, Hyunchang Cho, Sungzoon Cho, Jee Su Park
2015	J	`jnl`	A novel multi-class classification algorithm based on one-class support vector machine. Intell. Data Anal. Seokho Kang, Sungzoon Cho
2015	J	`jnl`	An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction. Expert Syst. Appl. Seokho Kang, Pilsung Kang, Taehoon Ko, Sungzoon Cho, Su-jin Rhee, Kyung-Sang Yu
2015	J	`jnl`	Constructing a multi-class classifier using one-against-one approach with different binary classifiers. Neurocomputing Seokho Kang, Sungzoon Cho, Pilsung Kang
2015	J	`jnl`	Improvement of virtual metrology performance by removing metrology noises in a training dataset. Pattern Anal. Appl. Dongil Kim, Pilsung Kang, Seung-kyung Lee, Seokho Kang, Seungyong Doh, Sungzoon Cho
2015	J	`jnl`	Multi-class classification via heterogeneous ensemble of one-class classifiers. Eng. Appl. Artif. Intell. Seokho Kang, Sungzoon Cho, Pilsung Kang
2015	J	`jnl`	Optimal construction of one-against-one classifier based on meta-learning. Neurocomputing Seokho Kang, Sungzoon Cho
2014	J	`jnl`	Approximating support vector machine with artificial neural network for fast prediction. Expert Syst. Appl. Seokho Kang, Sungzoon Cho
2014	J	`jnl`	Knowledge discovery in inspection reports of marine structures. Expert Syst. Appl. Seung-kyung Lee, Bongseok Kim, Minhoe Huh, Jooseoung Park, Seokho Kang, Sungzoon Cho, Dongha Lee, Daehyung Lee