Formalization of Link Farm Structure Using Graph Grammar. - Kiattikun Chobtham; Athasit Surarerks; Arnon Rungsawang (AINA, 2008)

Bayesian network structure learning with causal effects in the presence of latent variables. - Kiattikun Chobtham; Anthony C. Constantinou (PGM, 2020)

Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. - Anthony C. Constantinou; Yang Liu 206; Kiattikun Chobtham; Zhigao Guo; Neville Kenneth Kitson (Int. J. Approx. Reason., 2021)

Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. - Kiattikun Chobtham; Anthony C. Constantinou (PGM, 2022)

Effective and efficient structure learning with pruning and model averaging strategies. - Anthony C. Constantinou; Yang Liu 206; Neville Kenneth Kitson; Kiattikun Chobtham; Zhigao Guo (Int. J. Approx. Reason., 2022)

A survey of Bayesian Network structure learning. - Neville Kenneth Kitson; Anthony C. Constantinou; Zhigao Guo; Yang Liu 206; Kiattikun Chobtham (Artif. Intell. Rev., 2023)

Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. - Kiattikun Chobtham; Anthony C. Constantinou; Neville Kenneth Kitson (Data Min. Knowl. Discov., 2023)

Open problems in causal structure learning: A case study of COVID-19 in the UK. - Anthony C. Constantinou; Neville Kenneth Kitson; Yang Liu 206; Kiattikun Chobtham; Arian Hashemzadeh; Praharsh A. Nanavati; Rendani Mbuvha; Bruno Petrungaro (Expert Syst. Appl., 2023)

Tuning structure learning algorithms with out-of-sample and resampling strategies. - Kiattikun Chobtham; Anthony C. Constantinou (Knowl. Inf. Syst., 2024)