Cheol Young Park

According to our database, Cheol Young Park authored at least 18 papers between 2011 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

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

2018

Multi-Entity Bayesian Networks Learning for Predictive Situation Awareness.

Cheol Young Park

PhD thesis, 2018

Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness.

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

Human-aided Multi-Entity Bayesian Networks Learning from Relational Data.

Cheol Young Park, Kathryn Blackmond Laskey

CoRR, 2018

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

2017

Predictive situation awareness model for smart manufacturing.

Cheol Young Park, Kathryn Blackmond Laskey, Shelly Salim, Joong Yoon Lee

Proceedings of the 20th International Conference on Information Fusion, 2017

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

Proceedings of the Eleventh Conference on Semantic Technology for Intelligence, 2016

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

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction.

Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto

Proceedings of the Tenth International Conference on Digital Information Management, 2015

2014

Predictive situation awareness reference model using Multi-Entity Bayesian Networks.

Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness.

Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

High-Level Information Fusion with Bayesian Semantics.

Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang, Wei Sun, Cheol Young Park, Shou Matsumoto

Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, 2012

Study of MEBN Learning for Relational Model.

Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto

Proceedings of the Seventh International Conference on Semantic Technologies for Intelligence, 2012

2011

Evaluating uncertainty representation and reasoning in HLF systems.

Paulo Cesar G. da Costa, Rommel N. Carvalho, Kathryn B. Laskey, Cheol Young Park

Proceedings of the 14th International Conference on Information Fusion, 2011