Information fusion between knowledge and data in Bayesian network structure learning. - Anthony C. Constantinou; Zhigao Guo; Neville Kenneth Kitson (CoRR, 2021)

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)

Learning Bayesian networks from demographic and health survey data. - Neville Kenneth Kitson; Anthony C. Constantinou (J. Biomed. Informatics, 2021)

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)

The impact of prior knowledge on causal structure learning. - Anthony C. Constantinou; Zhigao Guo; Neville Kenneth Kitson (Knowl. Inf. Syst., 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)

Eliminating Variable Order Instability in Greedy Score-Based Structure Learning. - Neville Kenneth Kitson; Anthony C. Constantinou (PGM, 2024)

The impact of variable ordering on Bayesian network structure learning. - Neville Kenneth Kitson; Anthony C. Constantinou (Data Min. Knowl. Discov., 2024)

Using GPT-4 to guide causal machine learning. - Anthony C. Constantinou; Neville Kenneth Kitson; Alessio Zanga (Expert Syst. Appl., 2025)

Stable structure learning with HC-Stable and Tabu-Stable algorithms. - Neville Kenneth Kitson; Anthony C. Constantinou (Int. J. Approx. Reason., 2025)

Causal discovery using dynamically requested knowledge. - Neville Kenneth Kitson; Anthony C. Constantinou (Knowl. Based Syst., 2025)

Investigating potential causes of Sepsis with Bayesian network structure learning. - Bruno Petrungaro; Neville Kenneth Kitson; Anthony C. Constantinou (Appl. Intell., 2025)

Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning for optimal decision-making. - Anthony C. Constantinou; Nicholas Higgins; Neville Kenneth Kitson (CoRR, 2025)