Selected Publications

Sungrae Park, Jun-Keon Park, Su-Jin Shin, and Il-Chul Moon. Adversarial Dropout for Supervised and Semi-Supervised Learning. AAAI Conference on Artificial Intelligence (AAAI 2018). New Orleans. Feb 2-7

2017.11.08 12:30

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Sungrae Park, Jun-Keon Park, Su-Jin Shin, and Il-Chul Moon. Adversarial Dropout for Supervised and Semi-Supervised Learning. AAAI Conference on Artificial Intelligence (AAAI 2018). New Orleans. Feb 2-7

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14 J. W. Bae et al., "Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 7, pp. 2551-2565, July 2020 file
13 Kyungwoo Song, Wonsung Lee, and Il-Chul Moon. Neural Ideal Point Estimation Network. AAAI Conference on Artificial Intelligence (AAAI 2018). New Orleans. Feb 2-7 file
» Sungrae Park, Jun-Keon Park, Su-Jin Shin, and Il-Chul Moon. Adversarial Dropout for Supervised and Semi-Supervised Learning. AAAI Conference on Artificial Intelligence (AAAI 2018). New Orleans. Feb 2-7 file
11 Wonsung Lee, Kyungwoo Song, and Il-Chul Moon. Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information, ACM Conference on Information and Knowledge Management (CIKM 2017), Singapore, Nov 6-10 file
10 J. W. Bae et al., "Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 9, pp. 1454-1469, Sept. 2018. file
9 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
8 Lee, W.S., Lee, Y.M., Kim, H.Y., and Moon, I.-C., 2016. Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. IJCAI 2016. pp.2544-2552, New York, USA file
7 Bae, J. W., Bae, S. W., Moon, I. C., & Kim, T. G. (2016). Efficient Flattening Algorithm for Hierarchical and Dynamic Structure Discrete Event Models. ACM Transactions on Modeling and Computer Simulation (TOMACS), 26(4), 25. file
6 Bae, J. W., & Moon, I. C. (2016). LDEF Formalism for Agent-Based Model Development. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(6), 793–808. file
5 Lee, W.S., Park, S.R. and Moon, I.-C., 2014. Modeling Multiple Fields of Collective Emotions with Brownian Agent-Based Model. In AAMAS. Paris, France. file
4 Shinjae Yoo, Yiming Yang, Frank Lin, and Il-Chul Moon, Mining Social Networks for Personalized Email Prioritization, ACM SIGKDD Conference, Paris, France, Jun, 28, 2009 file
3 Il-Chul Moon and Kathleen M. Carley, Self-Organizing Social and Spatial Networks under What-if Scenarios, Autonomous Agent and Multi-Agent Systems (AAMAS’07), Honolulu, Hawaii, May 14-18, 2007, pp 127-134 file
2 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
1 Il-Chul Moon and Kathleen M. Carley, Modeling and Simulation of Terrorist Networks in Social and Geospatial dimensions, IEEE Intelligent Systems, Special Issue on Social Computing, Vol. 22, pp 40-49, Sep/Oct. 2007 file
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