Segmentation of Chinese Long Sentences Using Commas. - Meixun Jin; Mi-Young Kim; Dongil Kim; Jong-Hyeok Lee (SIGHAN@ACL, 2004)

epsilon-Tube Based Pattern Selection for Support Vector Machines. - Dongil Kim; Sungzoon Cho (PAKDD, 2006)

Performance comparison of classifiers for differentiation among obstructive lung diseases based on features of texture analysis at HRCT. - Youngjoo Lee; Joon Beom Seo; Bokyoung Kang; Dongil Kim; June-Goo Lee; Song Soo Kim; Namkug Kim; Suk-Ho Kang (Image Processing, 2007)

Bootstrap Based Pattern Selection for Support Vector Regression. - Dongil Kim; Sungzoon Cho (PAKDD, 2008)

Response modeling with support vector regression. - Dongil Kim; Hyoungjoo Lee; Sungzoon Cho (Expert Syst. Appl., 2008)

A virtual metrology system for semiconductor manufacturing. - Pilsung Kang 001; Hyoungjoo Lee; Sungzoon Cho; Dongil Kim; Jinwoo Park; Chan-Kyoo Park; Seungyong Doh (Expert Syst. Appl., 2009)

Efficient peer-to-peer overlay networks for mobile IPTV services. - Dongil Kim; Eunsam Kim; Choonhwa Lee (IEEE Trans. Consumer Electron., 2010)

Virtual metrology for run-to-run control in semiconductor manufacturing. - Pilsung Kang 001; Dongil Kim; Hyoungjoo Lee; Seungyong Doh; Sungzoon Cho (Expert Syst. Appl., 2011)

Pattern selection for support vector regression based response modeling. - Dongil Kim; Sungzoon Cho (Expert Syst. Appl., 2012)

Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing. - Dongil Kim; Pilsung Kang 001; Sungzoon Cho; Hyoungjoo Lee; Seungyong Doh (Expert Syst. Appl., 2012)

Evaluating the reliability level of virtual metrology results for flexible process control: a novelty detection-based approach. - Pilsung Kang 001; Dongil Kim; Sungzoon Cho (Pattern Anal. Appl., 2014)

Improvement of virtual metrology performance by removing metrology noises in a training dataset. - Dongil Kim; Pilsung Kang 001; Seung-kyung Lee; Seokho Kang 001; Seungyong Doh; Sungzoon Cho (Pattern Anal. Appl., 2015)

A latent profile analysis of the interplay between PC and smartphone in problematic internet use. - Dongil Kim; JeeEun Karin Nam; JungSu Oh; Min Chul Kang (Comput. Hum. Behav., 2016)

Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing. - Pilsung Kang 001; Dongil Kim; Sungzoon Cho (Expert Syst. Appl., 2016)

Smart Farming Education Service based on u-learning environment. - Heechang Chung; Dongil Kim; Soonghee Lee; Sokpal Cho (ICACT, 2019)

Development of ICT-Based Comprehensive Health and Social-Needs Assessment System to Enhance Person-Centered Community Care. - Eun Jeong Choi; Eunjung Lim; Minjung Kwak; Miri Jeong; Nayoung Lee; Il Bum Kwon; Wonpyo Lee; Hanwool Ku; Dongil Kim; Haesung Nam; Junsik Na; Myonghwa Park (MedInfo, 2019)

Pilot Testing of an ICT-Based Care Management Support System to Deliver Integrated Community Care. - Nayoung Lee; Minjung Kwak; Miri Jeong; Eun Jeong Choi; Eunjung Lim; Il Bum Kwon; Wonpyo Lee; Hanwool Ku; Dongil Kim; Haesung Nam; Junsik Na; Myonghwa Park (MedInfo, 2019)

Approximate training of one-class support vector machines using expected margin. - Seokho Kang 001; Dongil Kim; Sungzoon Cho (Comput. Ind. Eng., 2019)

Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding. - Doyup Lee; Suehun Jung; Yeongjae Cheon; Dongil Kim; Seungil You (CoRR, 2019)

Rapid fault cause identification in surface mount technology processes based on factory-wide data analysis. - Dongil Kim; Jeongin Koo; Hyein Kim; Seokho Kang 001; Sang-Hyun Lee; Jeong-Tae Kang (Int. J. Distributed Sens. Networks, 2019)

Study on Service model of the Agriculture Information based Convergence Service. - Heechang Chung; Dongil Kim; Kyoung-Sook Jung; Byeong-Beom Kang; Sokpal Cho; Soonghee Lee (ICACT, 2020)

Expected margin-based pattern selection for support vector machines. - Dongil Kim; Seokho Kang 001; Sungzoon Cho (Expert Syst. Appl., 2020)

A Study on the Service model of risk mitigation on livestock pandemic based on Networks. - Heechang Chung; Dongil Kim; Sokpal Cho (ICACT, 2022)

A Study on the Cultivation Plan Service at the Preliminary production phase based on bigdata analysis. - Heechang Chung; Dongil Kim; Sokpal Cho (ICACT, 2022)

Neural Additive Models for Nowcasting. - Wonkeun Jo; Dongil Kim (CoRR, 2022)

OBGAN: Minority oversampling near borderline with generative adversarial networks. - Wonkeun Jo; Dongil Kim (Expert Syst. Appl., 2022)

Depressed Mood Prediction of Elderly People with a Wearable Band. - Jinyoung Choi; Soomin Lee; Seonyoung Kim; Dongil Kim; Hyungshin Kim (Sensors, 2022)

Deep learning-based cutting force prediction for machining process using monitoring data. - Soomin Lee; Wonkeun Jo; Hyein Kim; Jeongin Koo; Dongil Kim (Pattern Anal. Appl., 2023)

Neural additive time-series models: Explainable deep learning for multivariate time-series prediction. - Wonkeun Jo; Dongil Kim (Expert Syst. Appl., 2023)

NFCL: Simply interpretable neural networks for a short-term multivariate forecasting. - Wonkeun Jo; Dongil Kim (CoRR, 2024)

Attention-based sequential recommendation system using multimodal data. - Hyungtaik Oh; Wonkeun Jo; Dongil Kim (CoRR, 2024)

Implementation of reinforcement learning for enhanced pressure control in a 190,000-barrel crude distillation unit: The first full-scale commercial deployment. - Dongchan Seo; Dongil Kim; Hyoeun Son; Yusung Kim 001 (Eng. Appl. Artif. Intell., 2025)