Fenton N, Neil M, Constantinou A(2020). The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018). Artificial Intelligence vol. 284, Article 103286, 103286-103286.
Constantinou A(2020). Learning Bayesian Networks with the Saiyan algorithm. ACM Transactions on Knowledge Discovery from Data
Guo Z, Constantinou AC(2020). Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets. CoRR vol. abs/2006.04753,
Constantinou AC(2020). Asian Handicap football betting with Rating-based Hybrid Bayesian Networks. CoRR vol. abs/2003.09384,
Chobtham K, Constantinou AC(2020). Bayesian network structure learning with causal effects in the presence of latent variables. CoRR vol. abs/2005.14381,
Constantinou AC, Liu Y, Chobtham K, Guo Z, Kitson NK(2020). Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. CoRR vol. abs/2005.09020,
Constantinou AC(2020). Learning Bayesian Networks that enable full propagation of evidence. CoRR vol. abs/2004.04571,
Constantinou AC(2019). Evaluating structure learning algorithms with a balanced scoring function. CoRR vol. abs/1905.12666,
Kitson NK, Constantinou AC(2019). Learning Bayesian networks from demographic and health survey data. CoRR vol. abs/1912.00715,
Fenton NE, Neil M, Constantinou AC(2019). Simpson's Paradox and the implications for medical trials. CoRR vol. abs/1912.01422,
CONSTANTINOU AC(2018). Dolores: A model that predicts football match outcomes from all over the world. Machine Learning
CONSTANTINOU AC, FENTON N(2018). Things to know about Bayesian networks. Significance
YET B, NEIL M, FENTON N, CONSTANTINOU AC, DEMENTIEV E(2018). An Improved Method for Solving Hybrid Influence Diagrams. International Journal of Approximate Reasoning
Yet B, Constantinou A, Fenton N, Neil M(2018). Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. IEEE Access vol. 6, 7802-7817.
CONSTANTINOU AC, Fenton N(2017). The future of the London Buy-To-Let property market: Simulation with temporal Bayesian Networks. PLoS ONE vol. 12, (6)
CONSTANTINOU AC, Fenton NORMAN(2017). Towards Smart-Data: Improving predictive accuracy in long-term football team performance. Knowledge-Based Systems
Fenton N, Neil M, Lagnado D, William M, Yet B, CONSTANTINOU AC(2016). How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowledge-Based Systems
Yet B, CONSTANTINOU AC, Fenton N, Neil M, Luedeling E, Shepherd K(2016). A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study. Expert Systems with Applications
CONSTANTINOU AC, FENTON N, NEIL M(2016). Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Systems with Applications
Constantinou AC, Fenton N, Marsh W, Radlinski L(2016). From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artificial Intelligence in Medicine vol. 67, 75-93.
Constantinou AC, Fenton NE (2016). Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance. BMA@UAI. Editors: Carvalho, RN, Laskey, KB, vol. 1663, 54-55.
CONSTANTINOU AC, Freestone M, Marsh W, Coid J(2015). Causal inference for violence risk management and decision support in forensic psychiatry. Decision Support Systems vol. 80, 42-55.
Constantinou AC, Yet B, Fenton N, Neil M, Marsh W(2015). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artificial Intelligence in Medicine vol. 66, 41-52.
Constantinou AC, Freestone M, Marsh W, Fenton NE, Coid J(2015). Risk assessment and risk management of violent re-offending among prisoners. Expert Systems with Applications vol. 42, (21)
Constantinou AC, Fenton NE, Hunter Pollock LJ(2014). Bayesian networks for unbiased assessment of referee bias in Association Football. Psychology of Sport and Exercise vol. 15, (5) 538-547.
Constantinou AC, Fenton NE, Neil M(2013). Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. KNOWLEDGE-BASED SYSTEMS vol. 50, 60-86.
Constantinou A, FENTON NE(2013). Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries. Journal of Quantitative Analysis in Sports vol. 9, (1) 37-50.
Constantinou A, Fenton N(2013). PROFITING FROM ARBITRAGE AND ODDS BIASES OF THE EUROPEAN FOOTBALL GAMBLING MARKET. Journal of Gambling Business and Economics vol. 7, (2) 41-70.
Constantinou A, FENTON NE, Neil M(2012). pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowledge Based Systems vol. 36, 322-339.
Constantinou A, FENTON NE(2012). Solving the problem of inadequate scoring rules for assessing probabilistic football forecasting models. Journal of Quantitative Analysis in Sports vol. 8, (1) Article 1,