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 | 123 | 2022 |
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 | 59 | 2019 |
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 | 41 | 2020 |
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 | 40 | 2017 |
Multi-entity bayesian networks learning for predictive situation awareness CY Park George Mason University, 2017 | 36 | 2017 |
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 | 29 | 2013 |
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 | 26 | 2011 |
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 | 25 | 2014 |
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 | 23 | 2012 |
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 | 20 | 2016 |
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 | 17 | 2020 |
MEBN-RM: A mapping between multi-entity Bayesian network and relational model CY Park, KB Laskey Applied Sciences 9 (9), 1743, 2019 | 10 | 2019 |
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 | 8 | 2022 |
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 | 8 | 2020 |
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 | 5 | 2015 |
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 | 5 | 2011 |
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 | 4 | 2016 |
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness CY Park, KB Laskey arXiv preprint arXiv:1806.02457, 2018 | 3 | 2018 |
Study of MEBN Learning for Relational Model. CY Park, KB Laskey, PCG da Costa, S Matsumoto STIDS, 121-124, 2012 | 3 | 2012 |
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 | 2 | 2019 |