Evaluating uncertainty representation and reasoning in HLF systems. - Paulo Cesar G. da Costa; Rommel N. Carvalho; Kathryn B. Laskey; Cheol Young Park (FUSION, 2011)

Study of MEBN Learning for Relational Model. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo Cesar G. da Costa; Shou Matsumoto (STIDS, 2012)

High-Level Information Fusion with Bayesian Semantics. - Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang; Wei Sun 009; Cheol Young Park; Shou Matsumoto (BMA, 2012)

Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo Cesar G. da Costa; Shou Matsumoto (FUSION, 2013)

Predictive situation awareness reference model using Multi-Entity Bayesian Networks. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (FUSION, 2014)

Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (ICDIM, 2015)

A process for human-aided Multi-Entity Bayesian Networks learning in Predictive Situation Awareness. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (FUSION, 2016)

An Extended Maritime Domain Awareness Probabilistic Ontology Derived from Human-aided Multi-Entity Bayesian Networks Learning. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa (STIDS, 2016)

Predictive situation awareness model for smart manufacturing. - Cheol Young Park; Kathryn Blackmond Laskey; Shelly Salim; Joong Yoon Lee (FUSION, 2017)

Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (CoRR, 2018)

Human-aided Multi-Entity Bayesian Networks Learning from Relational Data. - Cheol Young Park; Kathryn Blackmond Laskey (CoRR, 2018)

MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model. - Cheol Young Park; Kathryn Blackmond Laskey (CoRR, 2018)

Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness. - Cheol Young Park; Kathryn Blackmond Laskey (CoRR, 2018)

Multi-Entity Bayesian Networks Learning for Predictive Situation Awareness. - Cheol Young Park (2018)

Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud. - Cheol Young Park; Shou Matsumoto; Jubyung Ha; YoungWon Park (CoRR, 2019)

A Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes. - Seung Joon Nam; Han-Min Kim; Thomas Kang; Cheol Young Park (CoRR, 2019)

Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning. - Cheol Young Park; Jin Woog Kim; Bosung Kim; Joongyoon Lee (IEEE Access, 2020)

Proactive and reactive context reasoning architecture for smart web services. - Nawel Sekkal; Sidi Mohamed Benslimane; Michael Mrissa; Cheol Young Park; Boudjemaa Boudaa (Int. J. Data Min. Model. Manag., 2020)