International Journal Papers

Machine Learning Jang, J.; Shin, S.; Lee, H.; Moon, I.-C. Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model. Sensors 2020, 20, 3845.

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Jang, J.; Shin, S.; Lee, H.; Moon, I.-C. Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model. Sensors 2020, 20, 3845.

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13 Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo, Sequential Likelihood-Free Inference with Neural Proposal, Pattern Recognition Letters, Volume 169, 2023, Pages 102-109 file
12 J. H. Lee, I. -C. Moon and R. Oh, "Similarity Search on Wafer Bin Map Through Nonparametric and Hierarchical Clustering," in IEEE Transactions on Semiconductor Manufacturing, vol. 34, no. 4, pp. 464-474, Nov. 2021, doi: 10.1109/TSM.2021.3102679. file
11 Kim, Yoon-Yeong, et al. "Black-Box Expectation–Maximization Algorithm for Estimating Latent States of High-Speed Vehicles." Journal of Aerospace Information Systems 18.4 (2021): 175-192. file
10 Joo, W., Lee, W., Park, S., & Moon, I. C. (2020). Dirichlet variational autoencoder. Pattern Recognition, Vol. 107, 107514. file
» Jang, J.; Shin, S.; Lee, H.; Moon, I.-C. Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model. Sensors 2020, 20, 3845. file
8 Kim, Dohyung, Hyun-Shik Oh, and Il-Chul Moon. "Black-box Modeling for Aircraft Maneuver Control with Bayesian Optimization." International Journal of Control, Automation and Systems 17.6 (2019): 1558-1568. file
7 Il-Chul Moon, Kyungwoo Song, Sang-Hyeon Kim, and Han-Lim Choi, State Prediction of High-speed Ballistic Vehicles with Gaussian Process, International Journal of Control, Automation and Systems, Vol. 16, Issue 3, June 2018, pp 1282-1292 file
6 Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon, Hierarchical prescription pattern analysis with symptom labels, Pattern Recognition Letters, Volume 111, 2018, Pages 94-100 file
5 Sungrae Park, Doosup Choi, Minki Kim, Wonchul Cha, Chuhyun Kim, Il-Chul Moon, Identifying prescription patterns with a topic model of diseases and medications, Journal of Biomedical Informatics, Volume 75, November 2017, Pages 35-47 file
4 Su-Jin Shin, and Il-Chul Moon, "Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors", IEEE Transactions on Knowledge & Data Engineering. vol. 29 no. 2, p. 330-343, Feb., 2017 file
3 Park, S.R., W.S. Lee, and I.-C. Moon. 2015. “Associative Topic Models with Numerical Time Series.” Information Processing and Management 51 (5): 737–755. file
2 Park, S.R., Lee, W.S. and Moon, I.-C., 2015. Efficient Extraction of Domain Specific Sentiment Lexicon with Active Learning. Pattern Recognition Letters, 56(4), pp.38–44. file
1 Yiming Yang, Shinjae Yoo, Frank Lin, and Il-Chul Moon, Personalized Email Prioritization Based on Content and Social Network Analysis, IEEE Intelligent Systems, Special Issue on Social Learning, Vol. 25, Issue 4, pp 12-18, Jul/Aug 2010 file
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