Cheol Young Park

ORCID

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 12

Top Venues

George Mason University, Fairfax, VA, USA (PHD)

Education History

George Mason University, Fairfax, VA, USA

PHD

Publications

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) (2020)
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 (2020)
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 (2019)
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 (2019)
Cheol Young Park, Kathryn Blackmond Laskey
Human-aided Multi-Entity Bayesian Networks Learning from Relational Data. CoRR (2018)
Cheol Young Park, Kathryn Blackmond Laskey
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness. CoRR (2018)
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 (2018)
Cheol Young Park, Kathryn Blackmond Laskey
MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model. CoRR (2018)
Cheol Young Park, Kathryn Blackmond Laskey, Shelly Salim, Joong Yoon Lee
Predictive situation awareness model for smart manufacturing. FUSION (2017)
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)
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)
Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto
Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction. ICDIM (2015)
Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto
Predictive situation awareness reference model using Multi-Entity Bayesian Networks. FUSION (2014)
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)
Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto
Study of MEBN Learning for Relational Model. STIDS (2012)
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)
Paulo Cesar G. da Costa, Rommel N. Carvalho, Kathryn B. Laskey, Cheol Young Park
Evaluating uncertainty representation and reasoning in HLF systems. FUSION (2011)

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Publication Activity (10 Years)

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Cheol Young Park