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Il-Chul Moon
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2020 – today
- 2024
- [c66]Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon:
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. AAAI 2024: 11552-11560 - [c65]Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon:
Reward-based Input Construction for Cross-document Relation Extraction. ACL (1) 2024: 9254-9270 - [c64]HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon:
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. ICLR 2024 - [c63]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. ICLR 2024 - [c62]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. ICLR 2024 - [c61]Hyungho Na, Yunkyeong Seo, Il-Chul Moon:
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning. ICLR 2024 - [c60]Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon:
Unknown Domain Inconsistency Minimization for Domain Generalization. ICLR 2024 - [i36]Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon:
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. CoRR abs/2401.06799 (2024) - [i35]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. CoRR abs/2402.17517 (2024) - [i34]Hyungho Na, Yunkyeong Seo, Il-Chul Moon:
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2403.01112 (2024) - [i33]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. CoRR abs/2403.01189 (2024) - [i32]HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon:
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. CoRR abs/2403.02690 (2024) - [i31]Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim
, Il-Chul Moon:
Unknown Domain Inconsistency Minimization for Domain Generalization. CoRR abs/2403.07329 (2024) - [i30]Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon:
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. CoRR abs/2405.17111 (2024) - [i29]Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon:
Diffusion Rejection Sampling. CoRR abs/2405.17880 (2024) - [i28]Hyungho Na, Il-Chul Moon:
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning. CoRR abs/2405.19998 (2024) - [i27]Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon:
Reward-based Input Construction for Cross-document Relation Extraction. CoRR abs/2405.20649 (2024) - 2023
- [j28]Hyungho Na
, Jaemyung Ahn, Il-Chul Moon:
Weapon-Target Assignment by Reinforcement Learning with Pointer Network. J. Aerosp. Inf. Syst. 20(1): 53-59 (2023) - [j27]Dongjun Kim
, Kyungwoo Song
, Yoon-Yeong Kim
, Yongjin Shin
, Wanmo Kang
, Il-Chul Moon, Weonyoung Joo
:
Sequential Likelihood-Free Inference with Neural Proposal. Pattern Recognit. Lett. 169: 102-109 (2023) - [c59]Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon:
Loss-Curvature Matching for Dataset Selection and Condensation. AISTATS 2023: 8606-8628 - [c58]Tae-Sub Yun, Minsang Park, Il-Chul Moon:
Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong City. ANNSIM 2023: 572-583 - [c57]Suhyeon Jo
, DongHyeok Shin
, Byeonghu Na
, JoonHo Jang
, Il-Chul Moon
:
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. CIKM 2023: 1025-1034 - [c56]Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
SAAL: Sharpness-Aware Active Learning. ICML 2023: 16424-16440 - [c55]Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. ICML 2023: 16567-16598 - [c54]DongHyeok Shin, Seungjae Shin, Il-Chul Moon:
Frequency Domain-Based Dataset Distillation. NeurIPS 2023 - [c53]Muhyun Byun, Hyungho Na, Il-Chul Moon:
Time-Efficient Weapon-Target Assignment by Actor-Critic Reinforcement. SMC 2023: 1419-1424 - [i26]Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon:
Loss-Curvature Matching for Dataset Selection and Condensation. CoRR abs/2303.04449 (2023) - [i25]DongHyeok Shin, Seungjae Shin, Il-Chul Moon:
Frequency Domain-based Dataset Distillation. CoRR abs/2311.08819 (2023) - 2022
- [j26]Hyeongwoo Kong
, Wonje Yun
, Weonyoung Joo, Ju-Hyun Kim, Kyoung-Kuk Kim, Il-Chul Moon, Woo Chang Kim
:
Constructing a personalized recommender system for life insurance products with machine-learning techniques. Intell. Syst. Account. Finance Manag. 29(4): 242-253 (2022) - [j25]Tae-Sub Yun
, Dongjun Kim, Il-Chul Moon, Jang Won Bae:
Agent-Based Model for Urban Administration: A Case Study of Bridge Construction and its Traffic Dispersion Effect. J. Artif. Soc. Soc. Simul. 25(4) (2022) - [j24]Jang Won Bae
, Il-Chul Moon:
Practical Formalism-Based Approaches for Multi-Resolution Modeling and Simulation. Syst. 10(5): 174 (2022) - [c52]Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae:
Automatic Calibration Framework of Agent-based Models for Dynamic and Heterogeneous Parameters. AAMAS 2022: 1941-1943 - [c51]HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon:
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. ICML 2022: 1277-1297 - [c50]Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation. ICML 2022: 11201-11228 - [c49]JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon:
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. NeurIPS 2022 - [c48]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS 2022 - [i24]Dongjun Kim, Tae-Sub Yun
, Il-Chul Moon, Jang Won Bae:
Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters. CoRR abs/2203.03147 (2022) - [i23]HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon:
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. CoRR abs/2205.00690 (2022) - [i22]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. CoRR abs/2205.13699 (2022) - [i21]JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon:
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. CoRR abs/2206.07551 (2022) - [i20]Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon:
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. CoRR abs/2211.17091 (2022) - 2021
- [j23]Dongjun Kim, Tae-Sub Yun
, Il-Chul Moon, Jang Won Bae
:
Automatic calibration of dynamic and heterogeneous parameters in agent-based models. Auton. Agents Multi Agent Syst. 35(2): 46 (2021) - [j22]Yoon-Yeong Kim
, Hyemi Kim, Wonsung Lee, Han-Lim Choi, Il-Chul Moon
:
Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles. J. Aerosp. Inf. Syst. 18(4): 175-192 (2021) - [c47]Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon:
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. AAAI 2021: 8128-8136 - [c46]Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon:
Implicit Kernel Attention. AAAI 2021: 9713-9721 - [c45]Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon:
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. CVPR 2021: 10664-10673 - [c44]Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon:
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning. NeurIPS 2021: 22919-22930 - [c43]Yeongmin Kim, Youngjae Cho, Hanbit Lee, Il-Chul Moon:
Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq. SMC 2021: 1159-1164 - [i19]Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon:
Posterior-Aided Regularization for Likelihood-Free Inference. CoRR abs/2102.07770 (2021) - [i18]Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon:
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. CoRR abs/2103.08273 (2021) - [i17]Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
Score Matching Model for Unbounded Data Score. CoRR abs/2106.05527 (2021) - 2020
- [j21]Tae-Sub Yun
, Il-Chul Moon:
Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income. J. Artif. Soc. Soc. Simul. 23(4) (2020) - [j20]Weonyoung Joo
, Wonsung Lee, Sungrae Park
, Il-Chul Moon:
Dirichlet Variational Autoencoder. Pattern Recognit. 107: 107514 (2020) - [j19]JoonHo Jang, Seungjae Shin, Hyunjin Lee
, Il-Chul Moon:
Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model. Sensors 20(14): 3845 (2020) - [j18]Jang Won Bae, Junseok Lee, Do-Hyung Kim, Kanghoon Lee, Jongmin Lee, Kee-Eung Kim, Il-Chul Moon
:
Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement. IEEE Trans. Syst. Man Cybern. Syst. 50(7): 2551-2565 (2020) - [c42]Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. AAAI 2020: 4304-4311 - [c41]Su-Jin Shin, Kyungwoo Song, Il-Chul Moon:
Hierarchically Clustered Representation Learning. AAAI 2020: 5776-5783 - [c40]Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon:
Bivariate Beta-LSTM. AAAI 2020: 5818-5825 - [c39]Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim
, Il-Chul Moon:
Deep Generative Positive-Unlabeled Learning under Selection Bias. CIKM 2020: 1155-1164 - [c38]Yongjin Shin, Gihun Lee, Seungjae Shin, Seyoung Yun
, Il-Chul Moon:
FEWER: Federated Weight Recovery. DistributedML@CoNEXT 2020: 1-6 - [c37]Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon:
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. EMNLP (Findings) 2020: 3126-3140 - [c36]Tae-Sub Yun
, Il-Chul Moon, Young-Chul Kim, Ki-Sung Jin:
Agent-Based Modeling and Simulation on Residential Population Movement Patterns: The Case of Sejong City. WSC 2020: 620-631 - [i16]Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon:
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables. CoRR abs/2003.01847 (2020) - [i15]Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon:
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. CoRR abs/2004.03133 (2020) - [i14]Dongjun Kim, Weonyoung Joo, Seungjae Shin, Il-Chul Moon:
Adversarial Likelihood-Free Inference on Black-Box Generator. CoRR abs/2004.05803 (2020) - [i13]Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon:
Implicit Kernel Attention. CoRR abs/2006.06147 (2020) - [i12]Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Il-Chul Moon:
Sequential Likelihood-Free Inference with Implicit Surrogate Proposal. CoRR abs/2010.07604 (2020) - [i11]Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon:
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning. CoRR abs/2011.04194 (2020) - [i10]Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon:
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. CoRR abs/2011.11878 (2020)
2010 – 2019
- 2019
- [j17]Su-Jin Shin, Ahram Kang, Doyun Kim, Junseok Lee, Jang Won Bae, Il-Chul Moon
:
Improving counterfire operations with enhanced command and control structure. Comput. Math. Organ. Theory 25(4): 464-498 (2019) - [c35]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. AAAI 2019: 4699-4706 - [c34]Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context Enabled Recurrent Neural Network for Recommendation. AAAI 2019: 4983-4991 - [i9]Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon:
Dirichlet Variational Autoencoder. CoRR abs/1901.02739 (2019) - [i8]Su-Jin Shin, Kyungwoo Song, Il-Chul Moon:
Hierarchically Clustered Representation Learning. CoRR abs/1901.09906 (2019) - [i7]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. CoRR abs/1904.09816 (2019) - [i6]Kyungwoo Song, Wonsung Lee, Il-Chul Moon:
Neural Ideal Point Estimation Network. CoRR abs/1904.11727 (2019) - [i5]Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context enabled Recurrent Neural Network for Recommendation. CoRR abs/1904.12674 (2019) - [i4]Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon:
Bivariate Beta LSTM. CoRR abs/1905.10521 (2019) - [i3]Dongjun Kim, Tae-Sub Yun, Il-Chul Moon:
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model. CoRR abs/1908.03309 (2019) - [i2]Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. CoRR abs/1911.06478 (2019) - 2018
- [j16]Su-Jin Shin
, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon:
Hierarchical prescription pattern analysis with symptom labels. Pattern Recognit. Lett. 111: 94-100 (2018) - [j15]Jang Won Bae, Kyohong Shin, Hyun-Rok Lee, Hyun Jin Lee
, Taesik Lee, Chu Hyun Kim, Won Chul Cha, Gi Woon Kim, Il-Chul Moon
:
Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details. IEEE Trans. Syst. Man Cybern. Syst. 48(9): 1454-1469 (2018) - [c33]Kyungwoo Song, Wonsung Lee, Il-Chul Moon:
Neural Ideal Point Estimation Network. AAAI 2018: 2411-2418 - [c32]Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon:
Adversarial Dropout for Supervised and Semi-Supervised Learning. AAAI 2018: 3917-3924 - [c31]Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon:
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. ICDM 2018: 1104-1109 - [c30]Il-Chul Moon, Dongjun Kim, Tae-Sub Yun
, Jang Won Bae, Dong-oh Kang, Euihyun Paik:
Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations. SMC 2018: 1605-1610 - [c29]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. SMC 2018: 4236-4242 - 2017
- [j14]Sungrae Park, Doosup Choi, Minki Kim, Won Chul Cha, Chu Hyun Kim, Il-Chul Moon:
Identifying prescription patterns with a topic model of diseases and medications. J. Biomed. Informatics 75: 35-47 (2017) - [j13]Su-Jin Shin, Il-Chul Moon
:
Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors. IEEE Trans. Knowl. Data Eng. 29(2): 330-343 (2017) - [c28]Wonsung Lee, Kyungwoo Song, Il-Chul Moon:
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. CIKM 2017: 1139-1148 - [c27]Jang Won Bae, Bowon Nam, Kee-Eung Kim, Junseok Lee, Il-Chul Moon:
Hybrid modeling and simulation of tactical maneuvers in computer generated force. SMC 2017: 942-947 - [c26]Jun-Keon Park, YeongYeon Na, Il-Chul Moon:
Text augmented automatic statistician for predicting approval rates of politicians. SMC 2017: 954-959 - [i1]Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon:
Adversarial Dropout for Supervised and Semi-supervised Learning. CoRR abs/1707.03631 (2017) - 2016
- [j12]Jang Won Bae, J. H. Kim, Il-Chul Moon, Tag Gon Kim:
Accelerated simulation of hierarchical military operations with tabulation technique. J. Simulation 10(1): 36-49 (2016) - [j11]Jang Won Bae, Sang Won Bae, Il-Chul Moon, Tag Gon Kim:
Efficient Flattening Algorithm for Hierarchical and Dynamic Structure Discrete Event Models. ACM Trans. Model. Comput. Simul. 26(4): 25:1-25:25 (2016) - [j10]Jang Won Bae, Il-Chul Moon:
LDEF Formalism for Agent-Based Model Development. IEEE Trans. Syst. Man Cybern. Syst. 46(6): 793-808 (2016) - [c25]Kyungwoo Song, Sang-Hyeon Kim, Jinhyung Tak, Han-Lim Choi, Il-Chul Moon:
Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles. FUSION 2016: 17-24 - [c24]Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon:
Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. IJCAI 2016: 2544-2552 - [c23]Taesik Lee, Kyohong Shin, Hyun-Rok Lee, Hyun Jin Lee
, Inkyung Sung
, Junseok Lee, Il-Chul Moon, Jang Won Bae:
Characterizing emergency responses in localities with different social infrastructures using EMSSim. WSC 2016: 1926-1937 - 2015
- [j9]Sungrae Park, Wonsung Lee, Il-Chul Moon:
Associative topic models with numerical time series. Inf. Process. Manag. 51(5): 737-755 (2015) - [j8]SeHoon Lee, Jeong-Hee Hong, Jang Won Bae, Il-Chul Moon:
Impact of Population Relocation to City Commerce: Micro-Level Estimation with Validated Agent-Based Model. J. Artif. Soc. Soc. Simul. 18(2) (2015) - [j7]Woo-Seop Yun, Il-Chul Moon, Tae-Eog Lee
:
Agent-Based Simulation of Time to Decide: Military Commands and Time Delays. J. Artif. Soc. Soc. Simul. 18(4) (2015) - [j6]Sungrae Park, Wonsung Lee, Il-Chul Moon:
Efficient extraction of domain specific sentiment lexicon with active learning. Pattern Recognit. Lett. 56: 38-44 (2015) - [c22]Sungrae Park, Wonsung Lee, Il-Chul Moon:
Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series. TM@CIKM 2015: 49-54 - [c21]Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon:
Hierarchical Prescription Pattern Analysis with Symptom Labels. ICDM Workshops 2015: 178-187 - [c20]Il-Chul Moon, Jang Won Bae, Junseok Lee, Doyun Kim, Hyun-Rok Lee, Taesik Lee, Won Chul Cha, Ju-Hyun Kim, Gi Woon Kim:
EMSSIM: emergency medical service simulator with geographic and medical details. WSC 2015: 1272-1284 - [c19]Ahram Kang, Doyun Kim, Junseok Lee, Jang Won Bae, Il-Chul Moon:
Comparative study of command and control structure between rok and us field artillery battalion. WSC 2015: 2400-2411 - 2014
- [j5]Jang Won Bae, SeHoon Lee, Jeong-Hee Hong, Il-Chul Moon:
Simulation-based analyses of an evacuation from a metropolis during a bombardment. Simul. 90(11): 1244-1267 (2014) - [c18]Wonsung Lee, Sungrae Park, Il-Chul Moon:
Modeling multiple fields of collective emotions with brownian agent-based model. AAMAS 2014: 797-804 - [c17]Sungrae Park, Doosup Choi, Wonsung Lee, Dain Jung, Minki Kim, Il-Chul Moon:
Disease-medicine topic model for prescription record mining. SMC 2014: 86-93 - [c16]Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, Il-Chul Moon:
Identifying the evolution of disasters and responses with network-text analysis. SMC 2014: 664-671 - [c15]Wonsung Lee, Gene Yi, Dain Jung, Minki Kim, Il-Chul Moon:
Network analysis approach to study hospitals' prescription patterns focused on the impact of new healthcare policy. SMC 2014: 2643-2650 - [c14]SeHoon Lee, Jang Won Bae, Junseok Lee, Jeong-Hee Hong, Il-Chul Moon:
Simulation experiment of routing strategy for evacuees and disaster responders. SpringSim (ADS) 2014: 2 - [p1]Il-Chul Moon:
Formal agent-based models of social systems. Modeling and Simulation-Based Systems Engineering Handbook 2014: 67-94 - 2013
- [b1]Il-Chul Moon, Kathleen M. Carley, Tag Gon Kim:
Modeling and Simulating Command and Control - For Organizations Under Extreme Situations. Springer Briefs in Computer Science, Springer 2013, ISBN 978-1-4471-5036-7, pp. i-ix, 1-87 - [c13]SeHoon Lee, JoonSoo Shin, GeunHo Lee, Il-Chul Moon:
Impact of population relocation to city commerce: micro-level estimation with agent-based model. SpringSim (ADS) 2013: 11 - [c12]Il-Chul Moon, Jeong-Hee Hong:
Theoretic interplay between abstraction, resolution, and fidelity in model information. WSC 2013: 1283-1291 - 2012
- [j4]Jeong-Hoon Kim, Il-Chul Moon, Tag Gon Kim:
New insight into doctrine via simulation interoperation of heterogeneous levels of models in battle experimentation. Simul. 88(6): 649-667 (2012) - [c11]Jang Won Bae, GeunHo Lee, Il-Chul Moon:
Formal specification supporting incremental and flexible agent-based modeling. WSC 2012: 414:1-414:12 - 2011
- [c10]Il-Chul Moon, Alice H. Oh, Kathleen M. Carley:
Analyzing social media in escalating crisis situations. ISI 2011: 71-76 - 2010
- [j3]Yiming Yang, Shinjae Yoo
, Frank Lin, Il-Chul Moon:
Personalized Email Prioritization Based on Content and Social Network Analysis. IEEE Intell. Syst. 25(4): 12-18 (2010) - [c9]Il-Chul Moon, Dongwoo Kim
, Yohan Jo, Alice H. Oh:
Learning Influence Propagation of Personal Blogs with Content and Network Analyses. SocialCom/PASSAT 2010: 669-674 - [c8]Jeong-Hoon Kim, Chang Beom Choi, Il-Chul Moon, Tag Gon Kim:
DEVS-based doctrine validation of fleet anti-air defense. SpringSim 2010: 28 - [c7]Chang Ho Sung, Il-Chul Moon, Tag Gon Kim:
Collaborative Work in Domain-Specific Discrete Event Simulation Software Development: Fleet Anti-air Defense Simulation Software. WETICE 2010: 160-165
2000 – 2009
- 2009
- [c6]Il-Chul Moon:
Simulation analysis on destabilization of complex adaptive organizations. CISDA 2009: 1-8 - [c5]Il-Chul Moon, Young-Min Kim, Hyun-Jong Lee, Alice H. Oh:
Temporal Issue Trend Identifications in Blogs. CSE (4) 2009: 619-626 - [c4]Shinjae Yoo
, Yiming Yang, Frank Lin, Il-Chul Moon:
Mining social networks for personalized email prioritization. KDD 2009: 967-976 - 2007
- [j2]Il-Chul Moon, Kathleen M. Carley
:
Modeling and Simulating Terrorist Networks in Social and Geospatial Dimensions. IEEE Intell. Syst. 22(5): 40-49 (2007) - [c3]Il-Chul Moon, Kathleen M. Carley
:
Self-organizing social and spatial networks under what-if scenarios. AAMAS 2007: 252 - [c2]Il-Chul Moon, Kathleen M. Carley:
Evolving multi-agent network structure with organizational learning. SpringSim (2) 2007: 127-134 - 2006
- [j1]Il-Chul Moon, Mike Schneider, Kathleen M. Carley
:
Evolution of Player Skill in the America's Army Game. Simul. 82(11): 703-718 (2006) - [c1]Il-Chul Moon, Kathleen M. Carley:
Estimating the Near-Term Changes of an Organization with Simulations. AAAI Fall Symposium: Interaction and Emergent Phenomena in Societies of Agents 2006: 111-118
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