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Cheol Young Park
Cheol Young Park
Machine Learning Research Engineer, BAIES
Verified email at gmu.edu - Homepage
Title
Cited by
Cited by
Year
Interpretation of ensemble learning to predict water quality using explainable artificial intelligence
J Park, WH Lee, KT Kim, CY Park, S Lee, TY Heo
Science of the Total Environment 832, 155070, 2022
712022
Algal Morphological Identification in Watersheds for Drinking Water Supply Using Neural Architecture Search for Convolutional Neural Network
J Park, H Lee, CY Park, S Hasan, TY Heo, WH Lee
Water 11 (7), 19, 2019
482019
Predictive situation awareness model for smart manufacturing
CY Park, KB Laskey, S Salim, JY Lee
2017 20th international conference on information fusion (fusion), 1-8, 2017
392017
Prediction for manufacturing factors in a steel plate rolling smart factory using data clustering-based machine learning
CY Park, JW Kim, B Kim, J Lee
IEEE Access 8, 60890-60905, 2020
372020
Multi-entity bayesian networks learning in predictive situation awareness
CY Park, KB Laskey, P Costa, S Matsumoto
Proceedings of the 18th International Command and Control Technology and …, 2013
36*2013
Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness
CY Park, KB Laskey, PCG Costa, S Matsumoto
Proceedings of the 16th International Conference on Information Fusion, 1894 …, 2013
272013
Evaluating uncertainty representation and reasoning in HLF systems
PCG Costa, RN Carvalho, KB Laskey, CY Park
14th International Conference on Information Fusion, 1-8, 2011
262011
Predictive situation awareness reference model using multi-entity bayesian networks
CY Park, KB Laskey, PCG Costa, S Matsumoto
17th International Conference on Information Fusion (FUSION), 1-8, 2014
242014
High-level information fusion with bayesian semantics
PCG Costa, KB Laskey, KC Chang, W Sun, CY Park, S Matsumoto
Proceedings of the 9th Bayesian Modelling Applications Workshop, 2012
232012
A process for human-aided multi-entity bayesian networks learning in predictive situation awareness
CY Park, KB Laskey, PCG Costa, S Matsumoto
2016 19th international conference on information fusion (FUSION), 2116-2124, 2016
192016
Ensemble model development for the prediction of a disaster index in water treatment systems
J Park, JH Park, JS Choi, JC Joo, K Park, HC Yoon, CY Park, WH Lee, ...
Water 12 (11), 3195, 2020
132020
MEBN-RM: A mapping between multi-entity Bayesian network and relational model
CY Park, KB Laskey
Applied Sciences 9 (9), 1743, 2019
102019
Proactive and reactive context reasoning architecture for smart web services
N Sekkal, SM Benslimane, M Mrissa, CY Park, B Boudaa
International Journal of Data Mining, Modelling and Management 12 (1), 1-27, 2020
82020
A new research tool for hybrid Bayesian networks using script language
W Sun, CY Park, R Carvalho
Signal Processing, Sensor Fusion, and Target Recognition XX 8050, 666-673, 2011
52011
Predicting bilgewater emulsion stability by oil separation using image processing and machine learning
WH Lee, CY Park, D Diaz, KL Rodriguez, J Chung, J Church, MR Willner, ...
Water Research 223, 118977, 2022
42022
An Extended Maritime Domain Awareness Probabilistic Ontology Derived from Human-aided Multi-Entity Bayesian Networks Learning.
CY Park, KB Laskey, PCG Costa
STIDS, 28-36, 2016
42016
Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction
CY Park, KB Laskey, PCG Costa, S Matsumoto
2015 Tenth International Conference on Digital Information Management (ICDIM …, 2015
42015
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness
CY Park, KB Laskey
arXiv preprint arXiv:1806.02457, 2018
32018
Study of MEBN Learning for Relational Model.
CY Park, KB Laskey, PCG da Costa, S Matsumoto
STIDS, 121-124, 2012
32012
A Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes
SJ Nam, HM Kim, T Kang, CY Park
arXiv preprint arXiv:1910.12748, 2019
22019
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Articles 1–20