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2020 – today
- 2024
[c68]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- [c67]Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon:
Reward-based Input Construction for Cross-document Relation Extraction. ACL (1) 2024: 9254-9270 - [c66]HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon:
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. ICLR 2024 - [c65]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. ICLR 2024 - [c64]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. ICLR 2024 - [c63]Hyungho Na, Yunkyeong Seo, Il-Chul Moon:
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning. ICLR 2024 - [c62]Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon:
Unknown Domain Inconsistency Minimization for Domain Generalization. ICLR 2024 - [c61]Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon:
Diffusion Rejection Sampling. ICML 2024 - [c60]Hyungho Na, Il-Chul Moon:
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning. ICML 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
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 00:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
