Kiattikun Chobtham

19 papers B 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reinforcement Learning to Discover a NorthEast Monsoon Index for Monthly Rainfall Prediction in Thailand. CoRR Kiattikun Chobtham
2025	J	`jnl`	Leveraging Teleconnections with Physics-Informed Graph Attention Networks for Long-Range Extreme Rainfall Forecasting in Thailand. CoRR Kiattikun Chobtham, Kanoksri Sarinnapakorn, Kritanai Torsri, Prattana Deeprasertkul, Jirawan Kamma
2024	J	`jnl`	Tuning structure learning algorithms with out-of-sample and resampling strategies. Knowl. Inf. Syst. Kiattikun Chobtham, Anthony C. Constantinou
2023	J	`jnl`	A survey of Bayesian Network structure learning. Artif. Intell. Rev. Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
2023	J	`jnl`	Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. Data Min. Knowl. Discov. Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson
2023	J	`jnl`	Open problems in causal structure learning: A case study of COVID-19 in the UK. CoRR Anthony C. Constantinou, Neville Kenneth Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro
2023	J	`jnl`	Open problems in causal structure learning: A case study of COVID-19 in the UK. Expert Syst. Appl. Anthony C. Constantinou, Neville Kenneth Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro
2023	J	`jnl`	Tuning structure learning algorithms with out-of-sample and resampling strategies. CoRR Kiattikun Chobtham, Anthony C. Constantinou
2022	—	`conf`	Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. PGM Kiattikun Chobtham, Anthony C. Constantinou
2022	J	`jnl`	Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. CoRR Kiattikun Chobtham, Anthony C. Constantinou
2022	J	`jnl`	Effective and efficient structure learning with pruning and model averaging strategies. Int. J. Approx. Reason. Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
2021	J	`jnl`	A survey of Bayesian Network structure learning. CoRR Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
2021	J	`jnl`	Effective and efficient structure learning with pruning and model averaging strategies. CoRR Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
2021	J	`jnl`	Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. CoRR Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson
2021	J	`jnl`	Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. Int. J. Approx. Reason. Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
2020	—	`conf`	Bayesian network structure learning with causal effects in the presence of latent variables. PGM Kiattikun Chobtham, Anthony C. Constantinou
2020	J	`jnl`	Bayesian network structure learning with causal effects in the presence of latent variables. CoRR Kiattikun Chobtham, Anthony C. Constantinou
2020	J	`jnl`	Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. CoRR Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
2008	B	`conf`	Formalization of Link Farm Structure Using Graph Grammar. AINA Kiattikun Chobtham, Athasit Surarerks, Arnon Rungsawang