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2020 – today
- 2024
[j6]Kiattikun Chobtham, Anthony C. Constantinou:
Tuning structure learning algorithms with out-of-sample and resampling strategies. Knowl. Inf. Syst. 66(8): 4927-4955 (2024)- 2023
- [j5]Neville Kenneth Kitson
, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham:
A survey of Bayesian Network structure learning. Artif. Intell. Rev. 56(8): 8721-8814 (2023) - [j4]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): 476-520 (2023) - [j3]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: 121069 (2023) - [i8]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 abs/2305.03859 (2023) - [i7]Kiattikun Chobtham, Anthony C. Constantinou:
Tuning structure learning algorithms with out-of-sample and resampling strategies. CoRR abs/2306.13932 (2023) - 2022
- [j2]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: 292-321 (2022) - [c3]Kiattikun Chobtham, Anthony C. Constantinou:
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. PGM 2022: 121-132 - [i6]Kiattikun Chobtham, Anthony C. Constantinou:
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. CoRR abs/2206.05490 (2022) - 2021
- [j1]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: 151-188 (2021) - [i5]Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham:
A survey of Bayesian Network structure learning. CoRR abs/2109.11415 (2021) - [i4]Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo:
Effective and efficient structure learning with pruning and model averaging strategies. CoRR abs/2112.00398 (2021) - [i3]Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson:
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. CoRR abs/2112.10574 (2021) - 2020
- [c2]Kiattikun Chobtham, Anthony C. Constantinou:
Bayesian network structure learning with causal effects in the presence of latent variables. PGM 2020: 101-112 - [i2]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 abs/2005.09020 (2020) - [i1]Kiattikun Chobtham, Anthony C. Constantinou:
Bayesian network structure learning with causal effects in the presence of latent variables. CoRR abs/2005.14381 (2020)
2000 – 2009
- 2008
- [c1]Kiattikun Chobtham, Athasit Surarerks, Arnon Rungsawang:
Formalization of Link Farm Structure Using Graph Grammar. AINA 2008: 904-911
Coauthor Index
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