pi-football: A Bayesian network model for forecasting Association Football match outcomes. - Anthony C. Constantinou; Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2012)

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. - Anthony C. Constantinou; Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2013)

Bayesian networks for prediction, risk assessment and decision making in an inefficient Association Football gambling market. - Anthony Costa Constantinou (2013)

Causal inference for violence risk management and decision support in forensic psychiatry. - Anthony Costa Constantinou; Mark Freestone; William Marsh 001; Jeremy Coid (Decis. Support Syst., 2015)

Risk assessment and risk management of violent reoffending among prisoners. - Anthony C. Constantinou; Mark Freestone; William Marsh 001; Norman E. Fenton; Jeremy Coid (Expert Syst. Appl., 2015)

Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance. - Anthony C. Constantinou; Norman E. Fenton (BMA@UAI, 2016)

From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. - Anthony Costa Constantinou; Norman E. Fenton; William Marsh 001; Lukasz Radlinski (Artif. Intell. Medicine, 2016)

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. - Anthony Costa Constantinou; Barbaros Yet; Norman E. Fenton; Martin Neil; William Marsh 001 (Artif. Intell. Medicine, 2016)

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. - Anthony Costa Constantinou; Norman E. Fenton; Martin Neil (Expert Syst. Appl., 2016)

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study. - Barbaros Yet; Anthony C. Constantinou; Norman E. Fenton; Martin Neil; Eike Luedeling; Keith D. Shepherd (Expert Syst. Appl., 2016)

How to model mutually exclusive events based on independent causal pathways in Bayesian network models. - Norman E. Fenton; Martin Neil; David A. Lagnado; William Marsh 001; Barbaros Yet; Anthony C. Constantinou (Knowl. Based Syst., 2016)

Towards smart-data: Improving predictive accuracy in long-term football team performance. - Anthony C. Constantinou; Norman E. Fenton (Knowl. Based Syst., 2017)

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. - Barbaros Yet; Anthony C. Constantinou; Norman E. Fenton; Martin Neil (IEEE Access, 2018)

An improved method for solving Hybrid Influence Diagrams. - Barbaros Yet; Martin Neil; Norman E. Fenton; Anthony C. Constantinou; Eugene Dementiev (Int. J. Approx. Reason., 2018)

Evaluating structure learning algorithms with a balanced scoring function. - Anthony C. Constantinou (CoRR, 2019)

Simpson's Paradox and the implications for medical trials. - Norman E. Fenton; Martin Neil; Anthony C. Constantinou (CoRR, 2019)

Dolores: a model that predicts football match outcomes from all over the world. - Anthony C. Constantinou (Mach. Learn., 2019)

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

Learning Bayesian Networks That Enable Full Propagation of Evidence. - Anthony C. Constantinou (IEEE Access, 2020)

The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018). - Norman E. Fenton; Martin Neil; Anthony C. Constantinou (Artif. Intell., 2020)

Asian Handicap football betting with Rating-based Hybrid Bayesian Networks. - Anthony C. Constantinou (CoRR, 2020)

Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets. - Zhigao Guo; Anthony C. Constantinou (Entropy, 2020)

Learning Bayesian Networks with the Saiyan Algorithm. - Anthony C. Constantinou (ACM Trans. Knowl. Discov. Data, 2020)

How do some Bayesian Network machine learned graphs compare to causal knowledge? - Anthony C. Constantinou; Norman E. Fenton; Martin Neil (CoRR, 2021)

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

Greedy structure learning from data that contains systematic missing values. - Yang Liu 206; Anthony C. Constantinou (CoRR, 2021)

The importance of temporal information in Bayesian network structure learning. - Anthony C. Constantinou (Expert Syst. Appl., 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)

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

Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning. - Zhigao Guo; Anthony C. Constantinou (CoRR, 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)

Improving Bayesian Network Structure Learning in the Presence of Measurement Error. - Yang Liu 206; Anthony C. Constantinou; Zhigao Guo (J. Mach. Learn. Res., 2022)

Greedy structure learning from data that contain systematic missing values. - Yang Liu 206; Anthony C. Constantinou (Mach. Learn., 2022)

Improving the imputation of missing data with Markov Blanket discovery. - Yang Liu 206; Anthony C. Constantinou (ICLR, 2023)

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)

Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes. - Sheresh Zahoor; Anthony C. Constantinou; Tim M. Curtis; Mohammed Hasanuzzaman (CoRR, 2024)

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

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