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52 |
Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, and Il-Chul Moon, Sequential Recommendation with Relation-Aware Kernelized Self-Attention. AAAI Conference on Artificial Intelligence (AAAI 2020). New York. Feb. 7-12
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51 |
Su-Jin Shin, Kyungwoo Song, and Il-Chul Moon, Hierarchically Clustered Representation Learning, AAAI Conference on Artificial Intelligence (AAAI 2020). New York. Feb. 7-12
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50 |
Kyungwoo Song, JoonHo Jang, Seung jae Shin and Il-Chul Moon, Bivariate Beta-LSTM. AAAI Conference on Artificial Intelligence (AAAI 2020). New York. Feb. 7-12
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49 |
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, and Il-Chul Moon, Adversarial Dropout for Recurrent Neural Networks. AAAI Conference on Artificial Intelligence (AAAI 2019). Hawaii. Jan. 27-Feb. 1
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48 |
Kyungwoo Song, Mingi Ji, Sungrae Park, and Il-Chul Moon. Hierarchical Context enabled Recurrent Neural Network for Recommendation. AAAI Conference on Artificial Intelligence (AAAI 2019). Hawaii. Jan. 27-Feb. 1
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47 |
Wonsung Lee, Sungrae Park, Weonyoung Joo, and Il-Chul Moon, Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling, 2018 IEEE International Conference on Data Mining (ICDM'18), Nov. 17-20, Singapore (Short Paper)
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46 |
Seongcheol Woo, Juneyeong Yeon, Mingi Ji, Il-Chul Moon, Jinkyoo Park. Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve An Earthwork Scheduling Problem. IEEE Conference on System, Man, and Cybernetics 2018 (SMC 2018)
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45 |
Il-Chul Moon, Dongjun Kim, Tae-Sub Yun, Jang Won Bae, Dong-oh kang, and Euihyun Paik. Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations. IEEE International Conference on Systems, Man, and Cybernetics 2018 (SMC 2018)
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44 |
Yoon-Yeong Kim, Wonsung Lee, and Il-Chul Moon, Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles, 18th International Conference on Control, Automation and Systems (ICCAS 2018), Oct. 17–20
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43 |
Il-Chul Moon, Jinhyung Tak, Sang-Hyeon Kim, and Kyungwoo Song, Ballistic Coefficient Estimation with Gaussian Process Particle Filter, 18th International Conference on Control, Automation and Systems (ICCAS 2018)
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42 |
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
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41 |
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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40 |
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
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39 |
Jang Won Bae, Bowon Nam, Kee-Eung Kim, Junseok Lee and Il-Chul Moon. Hybrid Modeling and Simulation of Tactical Maneuvers in Computer Generated Force, IEEE Conference on System, Man, and Cybernetics 2017 (SMC 2017), Banff, Canada, Oct 5-8
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38 |
JunKeon Park, YeongYeon Na, and Il-Chul Moon. Text Augmented Automatic Statistician for Predicting Approval Rates of Politicians, IEEE Conference on System, Man, and Cybernetics 2017 (SMC 2017), Banff, Canada, Oct 5-8
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37 |
T. Lee et al., "Characterizing emergency responses in localities with different social infrastructures using EMSSim," 2016 Winter Simulation Conference (WSC), Washington, DC, USA, 2016, pp. 1926-1937.
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36 |
Chi-Jung Jung and Il-Chul Moon. Intelligent Behavior Modeling on Information Delivery of Time-Sensitive Targets, 2016 International Simulation Muti-Conference, AsiaSim / SCS AutumnSim, Beijing, China.
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35 |
Doyun Kim, Do-hyeong Kim, and Il-Chul Moon. Inverse Modeling of Combat Behavior with Virtual-Constructive Simulation Training, 2016 International Simulation Muti-Conference, AsiaSim / SCS AutumnSim, Beijing, China.
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34 |
K.W. Song and S.H. Kim and J.H. Tak and H.L. Choi and I.C. Moon, 2016, Data-Driven Ballistic Coefficient Learning for Future State Prediction of High-Speed Vehicles, 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany
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33 |
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. In International Joint Conference on Artificial Intelligence (IJCAI 2016). New
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