Kiattikun Chobtham

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 16

Top Topics

Conditional Independence

Bayesian Network Structure Learning

Empirical Validation

Top Venues

Int. J. Approx. Reason.

Artif. Intell. Rev.

Publications

Kiattikun Chobtham, Anthony C. Constantinou
Tuning structure learning algorithms with out-of-sample and resampling strategies. Knowl. Inf. Syst. 66 (8) (2024)
Anthony C. Constantinou, Neville Kenneth Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro
Open problems in causal structure learning: A case study of COVID-19 in the UK. CoRR (2023)
Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. Data Min. Knowl. Discov. 37 (1) (2023)
Kiattikun Chobtham, Anthony C. Constantinou
Tuning structure learning algorithms with out-of-sample and resampling strategies. CoRR (2023)
Anthony C. Constantinou, Neville Kenneth Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro
Open problems in causal structure learning: A case study of COVID-19 in the UK. Expert Syst. Appl. 234 (2023)
Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
A survey of Bayesian Network structure learning. Artif. Intell. Rev. 56 (8) (2023)
Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
Effective and efficient structure learning with pruning and model averaging strategies. Int. J. Approx. Reason. 151 (2022)
Kiattikun Chobtham, Anthony C. Constantinou
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. PGM (2022)
Kiattikun Chobtham, Anthony C. Constantinou
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. CoRR (2022)
Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
Effective and efficient structure learning with pruning and model averaging strategies. CoRR (2021)
Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
A survey of Bayesian Network structure learning. CoRR (2021)
Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. CoRR (2021)
Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. Int. J. Approx. Reason. 131 (2021)
Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. CoRR (2020)
Kiattikun Chobtham, Anthony C. Constantinou
Bayesian network structure learning with causal effects in the presence of latent variables. CoRR (2020)
Kiattikun Chobtham, Anthony C. Constantinou
Bayesian network structure learning with causal effects in the presence of latent variables. PGM (2020)
Kiattikun Chobtham, Athasit Surarerks, Arnon Rungsawang
Formalization of Link Farm Structure Using Graph Grammar. AINA (2008)