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Publications:  Dr Anthony Constantinou

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.
10.1016/j.artint.2020.103286
Constantinou A(2020). Learning Bayesian Networks with the Saiyan algorithm. ACM Transactions on Knowledge Discovery from Data
10.1145/3385655
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64081
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,
https://qmro.qmul.ac.uk/xmlui/handle/123456789/65322
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,
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62666
CONSTANTINOU AC(2018). Dolores: A model that predicts football match outcomes from all over the world. Machine Learning
10.1007/s10994-018-5703-7
https://qmro.qmul.ac.uk/xmlui/handle/123456789/38063
CONSTANTINOU AC, FENTON N(2018). Things to know about Bayesian networks. Significance
10.1111/j.1740-9713.2018.01126.x
https://qmro.qmul.ac.uk/xmlui/handle/123456789/36560
YET B, NEIL M, FENTON N, CONSTANTINOU AC, DEMENTIEV E(2018). An Improved Method for Solving Hybrid Influence Diagrams. International Journal of Approximate Reasoning
10.1016/j.ijar.2018.01.006
https://qmro.qmul.ac.uk/xmlui/handle/123456789/32419
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.
10.1109/ACCESS.2018.2799527
https://qmro.qmul.ac.uk/xmlui/handle/123456789/32418
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)
10.1371/journal.pone.0179297
https://qmro.qmul.ac.uk/xmlui/handle/123456789/24776
CONSTANTINOU AC, Fenton NORMAN(2017). Towards Smart-Data: Improving predictive accuracy in long-term football team performance. Knowledge-Based Systems
10.1016/j.knosys.2017.03.005
https://qmro.qmul.ac.uk/xmlui/handle/123456789/22040
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
10.1016/j.knosys.2016.09.012
https://qmro.qmul.ac.uk/xmlui/handle/123456789/15923
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
10.1016/j.eswa.2016.05.005
https://qmro.qmul.ac.uk/xmlui/handle/123456789/12375
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
10.1016/j.eswa.2016.02.050
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11586
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.
10.1016/j.artmed.2016.01.002
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11587
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.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/14960
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.
10.1016/j.dss.2015.09.006
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10774
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.
10.1016/j.artmed.2015.09.002
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10760
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)
10.1016/j.eswa.2015.05.025
https://qmro.qmul.ac.uk/xmlui/handle/123456789/15804
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.
10.1016/j.psychsport.2014.05.009
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10772
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.
10.1016/j.knosys.2013.05.008
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10778
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.
10.1515/jqas-2012-0036
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10776
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.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10781
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.
10.1016/j.knosys.2012.07.008
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10780
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,
10.1515/1559-0410.1418
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10783
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