Dongil Kim

According to our database, Dongil Kim authored at least 29 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Neural additive time-series models: Explainable deep learning for multivariate time-series prediction.

Wonkeun Jo, Dongil Kim

Expert Syst. Appl., October, 2023

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., August, 2023

2022

Depressed Mood Prediction of Elderly People with a Wearable Band.

Jinyoung Choi, Soomin Lee, Seonyoung Kim, Dongil Kim, Hyungshin Kim

Sensors, 2022

OBGAN: Minority oversampling near borderline with generative adversarial networks.

Wonkeun Jo, Dongil Kim

Expert Syst. Appl., 2022

Neural Additive Models for Nowcasting.

Wonkeun Jo, Dongil Kim

CoRR, 2022

A Study on the Cultivation Plan Service at the Preliminary production phase based on bigdata analysis.

Heechang Chung, Dongil Kim, Sokpal Cho

Proceedings of the 24th International Conference on Advanced Communication Technology, 2022

A Study on the Service model of risk mitigation on livestock pandemic based on Networks.

Heechang Chung, Dongil Kim, Sokpal Cho

Proceedings of the 24th International Conference on Advanced Communication Technology, 2022

2020

Expected margin-based pattern selection for support vector machines.

Dongil Kim, Seokho Kang, Sungzoon Cho

Expert Syst. Appl., 2020

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

Proceedings of the 22nd International Conference on Advanced Communication Technology, 2020

2019

Rapid fault cause identification in surface mount technology processes based on factory-wide data analysis.

Dongil Kim, Jeongin Koo, Hyein Kim, Seokho Kang, Sang-Hyun Lee, Jeong-Tae Kang

Int. J. Distributed Sens. Networks, 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

Approximate training of one-class support vector machines using expected margin.

Seokho Kang, Dongil Kim, Sungzoon Cho

Comput. Ind. Eng., 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

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 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

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Smart Farming Education Service based on u-learning environment.

Heechang Chung, Dongil Kim, Soonghee Lee, Sokpal Cho

Proceedings of the 21st International Conference on Advanced Communication Technology, 2019

2016

Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing.

Pilsung Kang, Dongil Kim, Sungzoon Cho

Expert Syst. Appl., 2016

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

2015

Improvement of virtual metrology performance by removing metrology noises in a training dataset.

Dongil Kim, Pilsung Kang, Seung-kyung Lee, Seokho Kang, Seungyong Doh, Sungzoon Cho

Pattern Anal. Appl., 2015

2014

Evaluating the reliability level of virtual metrology results for flexible process control: a novelty detection-based approach.

Pilsung Kang, Dongil Kim, Sungzoon Cho

Pattern Anal. Appl., 2014

2012

Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing.

Dongil Kim, Pilsung Kang, Sungzoon Cho, Hyoungjoo Lee, Seungyong Doh

Expert Syst. Appl., 2012

Pattern selection for support vector regression based response modeling.

Dongil Kim, Sungzoon Cho

Expert Syst. Appl., 2012

2011

Virtual metrology for run-to-run control in semiconductor manufacturing.

Pilsung Kang, Dongil Kim, Hyoungjoo Lee, Seungyong Doh, Sungzoon Cho

Expert Syst. Appl., 2011

2010

Efficient peer-to-peer overlay networks for mobile IPTV services.

Dongil Kim, Eunsam Kim, Choonhwa Lee

IEEE Trans. Consumer Electron., 2010

2009

A virtual metrology system for semiconductor manufacturing.

Pilsung Kang, Hyoungjoo Lee, Sungzoon Cho, Dongil Kim, Jinwoo Park, Chan-Kyoo Park, Seungyong Doh

Expert Syst. Appl., 2009

2008

Response modeling with support vector regression.

Dongil Kim, Hyoungjoo Lee, Sungzoon Cho

Expert Syst. Appl., 2008

Bootstrap Based Pattern Selection for Support Vector Regression.

Dongil Kim, Sungzoon Cho

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007

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

Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006

epsilon-Tube Based Pattern Selection for Support Vector Machines.

Dongil Kim, Sungzoon Cho

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

2004

Segmentation of Chinese Long Sentences Using Commas.

Meixun Jin, Mi-Young Kim, Dongil Kim, Jong-Hyeok Lee

Proceedings of the Third Workshop on Chinese Language Processing, 2004