Hierarchical Prescription Pattern Analysis with Symptom Labels

Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, and Il-Chul Moon , 2015 , Workshop on Biological Data Mining and Its Applications in Healthcare, International Conference on Data Mining (ICDM Workshop 2020) , Nov 14-17 , Atlantic City , USA

Agent-Based Modeling and Simulation on Residential Population Movement Patterns: The Case of Sejong City

Tae-Sub Yun, Young-Chul Kim, Ki-Sung Jin, and Il-Chul Moon , 2020 , Winter Simulation Conference (WSC 2020) , Dec 13-16 , Orlando , USA

Adversarial Dropout for Recurrent Neural Networks

Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, and Il-Chul Moon , 2019 , AAAI Conference on Artificial Intelligence (AAAI 2019) , Jan 27-Feb 1 , Hawaii , USA

Hierarchical Context enabled Recurrent Neural Network for Recommendation

Kyungwoo Song, Mingi Ji, Sungrae Park, and Il-Chul Moon , 2019 , AAAI Conference on Artificial Intelligence (AAAI 2019) , Jan 27-Feb 1 , Hawaii , USA

Housing Market Agent Based Simulation with Loan-To-Value and Debt-To-Income

Tae-Sub Yun, and Il-Chul Moon , 2019 , International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2019) , Oct 28-31 , Torino , Italy

Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling

Wonsung Lee, Sungrae Park, Weonyoung Joo, and Il-Chul Moon , 2018 , IEEE International Conference on Data Mining (ICDM 2018) , Nov 17-20 , Singapore , Singapore

Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations

Il-Chul Moon, Dongjun Kim, Tae-Sub Yun, Jang Won Bae, Dong-Oh Kang, and Euihyun Paik , 2018 , IEEE International Conference on Systems, Man, and Cybernetics 2018 (SMC 2018) , Oct 7-10 , Miyazaki , Japan

Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles

Yoon-Yeong Kim, Wonsung Lee, and Il-Chul Moon , 2018 , International Conference on Control, Automation and Systems (ICCAS 2018) , Oct 17–20 , PyeongChang , South Korea

Ballistic Coefficient Estimation with Gaussian Process Particle Filter

Il-Chul Moon, Jinhyung Tak, Sang-Hyeon Kim, and Kyungwoo Song , 2018 , International Conference on Control, Automation and Systems (ICCAS 2018) , Oct 17–20 , PyeongChang , South Korea

Neural Ideal Point Estimation Network

Kyungwoo Song, Wonsung Lee, and Il-Chul Moon , 2018 , AAAI Conference on Artificial Intelligence (AAAI 2018) , Feb 2-7 , New Orleans , USA

Adversarial Dropout for Supervised and Semi-Supervised Learning

Sungrae Park, Jun-Keon Park, Su-Jin Shin, and Il-Chul Moon , 2018 , AAAI Conference on Artificial Intelligence (AAAI 2018) , Feb 2-7 , New Orleans , USA

Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve An Earthwork Scheduling Problem

Seongcheol Woo, Juneyeong Yeon, Mingi Ji, Il-Chul Moon, and Jinkyoo Park , 2018 , IEEE Conference on System, Man, and Cybernetics (SMC 2018) , Oct 7-10 , Miyazaki , Japan

Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information

Wonsung Lee, Kyungwoo Song, and Il-Chul Moon , 2017 , ACM Conference on Information and Knowledge Management (CIKM 2017) , Nov 6-10 , Singapore , Singapore

Text Augmented Automatic Statistician for Predicting Approval Rates of Politicians

JunKeon Park, YeongYeon Na, and Il-Chul Moon , 2017 , IEEE Conference on System, Man, and Cybernetics (SMC 2017) , Oct 5-8 , Banff , Canada

Hybrid Modeling and Simulation of Tactical Maneuvers in Computer Generated Force

Jang Won Bae, Bowon Nam, Kee-Eung Kim, Junseok Lee and Il-Chul Moon , 2017 , IEEE Conference on System, Man, and Cybernetics (SMC 2017) , Oct 5-8 , Banff , Canada