Kiattikun Chobtham

Orcid: 0000-0002-3158-6003

According to our database1, Kiattikun Chobtham authored at least 9 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Open problems in causal structure learning: A case study of COVID-19 in the UK.
Expert Syst. Appl., December, 2023

Hybrid Bayesian network discovery with latent variables by scoring multiple interventions.
Data Min. Knowl. Discov., 2023

Tuning structure learning algorithms with out-of-sample and resampling strategies.
CoRR, 2023

A survey of Bayesian Network structure learning.
Artif. Intell. Rev., 2023

2022
Effective and efficient structure learning with pruning and model averaging strategies.
Int. J. Approx. Reason., 2022

Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data.
Int. J. Approx. Reason., 2021

2020
Bayesian network structure learning with causal effects in the presence of latent variables.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2008
Formalization of Link Farm Structure Using Graph Grammar.
Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008


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