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ORCIDCheol Young Park
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2020 – today
- 2020
[j2]Cheol Young Park
, Jin Woog Kim, Bosung Kim, Joongyoon Lee:
Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning. IEEE Access 8: 60890-60905 (2020)- [j1]Nawel Sekkal, Sidi Mohamed Benslimane, Michael Mrissa, Cheol Young Park, Boudjemaa Boudaa:
Proactive and reactive context reasoning architecture for smart web services. Int. J. Data Min. Model. Manag. 12(1): 1-27 (2020)
2010 – 2019
- 2019
- [i6]Cheol Young Park, Shou Matsumoto, Jubyung Ha, YoungWon Park:
Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud. CoRR abs/1904.12958 (2019) - [i5]Seung Joon Nam, Han-Min Kim, Thomas Kang, Cheol Young Park:
A Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes. CoRR abs/1910.12748 (2019) - 2018
- [b1]Cheol Young Park:
Multi-Entity Bayesian Networks Learning for Predictive Situation Awareness. George Mason University, Fairfax, VA, USA, 2018 - [i4]Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto:
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks. CoRR abs/1806.02415 (2018) - [i3]Cheol Young Park, Kathryn Blackmond Laskey:
Human-aided Multi-Entity Bayesian Networks Learning from Relational Data. CoRR abs/1806.02421 (2018) - [i2]Cheol Young Park, Kathryn Blackmond Laskey:
MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model. CoRR abs/1806.02455 (2018) - [i1]Cheol Young Park, Kathryn Blackmond Laskey:
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness. CoRR abs/1806.02457 (2018) - 2017
- [c9]Cheol Young Park, Kathryn Blackmond Laskey, Shelly Salim, Joong Yoon Lee:
Predictive situation awareness model for smart manufacturing. FUSION 2017: 1-8 - 2016
- [c8]Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto:
A process for human-aided Multi-Entity Bayesian Networks learning in Predictive Situation Awareness. FUSION 2016: 2116-2124 - [c7]Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa:
An Extended Maritime Domain Awareness Probabilistic Ontology Derived from Human-aided Multi-Entity Bayesian Networks Learning. STIDS 2016: 28-36 - 2015
- [c6]Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto:
Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction. ICDIM 2015: 210-216 - 2014
- [c5]Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto:
Predictive situation awareness reference model using Multi-Entity Bayesian Networks. FUSION 2014: 1-8 - 2013
- [c4]Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto:
Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness. FUSION 2013: 1894-1901 - 2012
- [c3]Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto:
Study of MEBN Learning for Relational Model. STIDS 2012: 121-124 - [c2]Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang, Wei Sun, Cheol Young Park, Shou Matsumoto:
High-Level Information Fusion with Bayesian Semantics. BMA 2012: 8-17 - 2011
- [c1]Paulo Cesar G. da Costa, Rommel N. Carvalho, Kathryn B. Laskey, Cheol Young Park:
Evaluating uncertainty representation and reasoning in HLF systems. FUSION 2011: 1-8
Coauthor Index
aka: Kathryn Blackmond Laskey
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