International Conference Papers

Machine Learning 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)

2018.08.19 04:14

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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, Accepted as a short paper

 

Acceptance rate : 8.86% for Full paper, 11.08% for Short papers. 948 submissions

 

 

 

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No. Subject
57 Yongjin Shin, Gihun Lee, Seungjae Shin, Se-Young Yun, Il-Chul Moon, FEWER:Federated Weight Recovery, Workshop on DistributedML, CoNEXT 2020, Virtual Conference, 2020 file
56 Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon, Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation, Findings of EMNLP (Findings@EMNLP 2020), 2020 file
55 Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, and Il-Chul Moon, Deep Generative Positive-Unlabeled Learning under Selection Bias, ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020 file
54 Tae-Sub Yun, Young-Chul Kim, Ki-Sung Jin, and Il-Chul Moon, AGENT-BASED MODELING AND SIMULATION ON RESIDENTIAL POPULATION MOVEMENT PATTERNS: THE CASE OF SEJONG CITY, Proceedings of the 2020 Winter Simulation Conference (WinterSim 2020), Dec 13-16 file
53 Tae-Sub Yun and Il-Chul Moon, Housing Market Agent Based Simulation with Loan-To-Value and Debt-To-Income, International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2019), Torino, Italy, Oct 28-31. file
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 file
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 file
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 file
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 file
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 file
» 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) file
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) file
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) file
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 file
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) file
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 file
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 file
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 file
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 file
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 file
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