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Research

Publications: Dr Anthony Constantinou

Constantinou AC, Liu Y, Kitson NK, Chobtham K, Guo Z ( 2022 ) . Effective and efficient structure learning with pruning and model averaging strategies . International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems vol. 151 , 292 - 321 .
Constantinou AC ( 2022 ) . Investigating the efficiency of the Asian handicap football betting market with ratings and Bayesian networks . Journal of Sports Analytics vol. 8 , ( 3 ) 171 - 193 .
Liu Y, Constantinou AC ( 2022 ) . Greedy structure learning from data that contain systematic missing values . Machine Learning
Kitson NK, Constantinou AC ( 2022 ) . The Impact of Variable Ordering on Bayesian Network Structure Learning .
Chobtham K, Constantinou AC ( 2022 ) . Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound .
Guo Z, Constantinou AC ( 2022 ) . Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning .
Chobtham K, Constantinou AC, Kitson NK ( 2021 ) . Hybrid Bayesian network discovery with latent variables by scoring multiple interventions .
Constantinou AC, Liu Y, Kitson NK, Chobtham K, Guo Z ( 2021 ) . Effective and efficient structure learning with pruning and model averaging strategies .
Kitson NK, Constantinou AC, Guo Z, Liu Y, Chobtham K ( 2021 ) . A survey of Bayesian Network structure learning .
Liu Y, Constantinou AC ( 2021 ) . Greedy structure learning from data that contain systematic missing values .
Constantinou AC, Guo Z, Kitson NK ( 2021 ) . The impact of prior knowledge on causal structure learning .
Constantinou AC, Fenton N, Neil M ( 2021 ) . How do some Bayesian Network machine learned graphs compare to causal knowledge? .
Constantinou AC, Liu Y, Chobtham K, Guo Z, Kitson NK ( 2021 ) . Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data . International Journal of Approximate Reasoning vol. abs/2005.09020 ,
Constantinou AC, Fenton NE, Neil M ( 2021 ) . How do some Bayesian Network machine learned graphs compare to causal knowledge? . CoRR vol. abs/2101.10461 ,
Constantinou AC, Guo Z, Kitson NK ( 2021 ) . Information fusion between knowledge and data in Bayesian network structure learning . CoRR vol. abs/2102.00473 ,
Constantinou AC, Liu Y, Chobtham K, Guo Z, Kitson NK ( 2021 ) . Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data . Int. J. Approx. Reason. vol. 131 , 151 - 188 .
Liu Y, Constantinou AC, Guo Z ( 2020 ) . Improving Bayesian Network Structure Learning in the Presence of Measurement Error .
Kitson NK, Constantinou AC ( 2020 ) . Learning Bayesian networks from demographic and health survey data . Journal of Biomedical Informatics
Guo Z, Constantinou AC ( 2020 ) . Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets . Entropy vol. 22 , ( 10 ) Article 1142 ,
Chobtham K, Constantinou AC ( 2020 ) . Bayesian network structure learning with causal effects in the presence of latent variables . In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM-2020), Aalborg, Denmark
Constantinou A ( 2020 ) . The importance of temporal information in Bayesian network structure learning . Expert Systems with Applications vol. 164 ,
Constantinou AC ( 2020 ) . Learning Bayesian Networks That Enable Full Propagation of Evidence . IEEE Access vol. 8 , 124845 - 124856 .
Guo Z, Constantinou AC ( 2020 ) . Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets .
Chobtham K, Constantinou AC ( 2020 ) . Bayesian network structure learning with causal effects in the presence of latent variables .
Constantinou AC, Liu Y, Chobtham K, Guo Z, Kitson NK ( 2020 ) . Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data .
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 that enable full propagation of evidence .
Constantinou A ( 2020 ) . Asian Handicap football betting with Rating-based Hybrid Bayesian Networks .
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 . Entropy vol. 22 , Article 10 , 1142 - 1142 .
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 . PGM . Editors: Jaeger, M, Nielsen, TD , vol. 138 , 101 - 112 .
Liu Y, Constantinou AC, Guo Z ( 2020 ) . Improving Bayesian Network Structure Learning in the Presence of Measurement Error . CoRR vol. abs/2011.09776 ,
Constantinou AC ( 2020 ) . Learning Bayesian Networks That Enable Full Propagation of Evidence . IEEE Access vol. 8 , 124845 - 124856 .
Constantinou AC ( 2020 ) . Learning Bayesian Networks with the Saiyan Algorithm . ACM Trans. Knowl. Discov. Data vol. 14 , Article 4 , 44:1 - 44:1 .
Fenton N, Neil M, Constantinou A ( 2019 ) . Simpson's Paradox and the implications for medical trials .
Kitson NK, Constantinou AC ( 2019 ) . Learning Bayesian networks from demographic and health survey data .
Constantinou AC ( 2019 ) . Evaluating structure learning algorithms with a balanced scoring function .
Constantinou AC ( 2019 ) . Evaluating structure learning algorithms with a balanced scoring function . CoRR vol. abs/1905.12666 ,
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
Coid JW, Ullrich S, Kallis C, Freestone M, Gonzalez R, Bui L, Igoumenou A, Constantinou A et al. ( 2016 ) . Improving risk management for violence in mental health services: a multimethods approach . Programme Grants for Applied Research vol. 4 , ( 16 ) 1 - 408 .
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 AC, Fenton NE ( 2013 ) . Profiting from arbitrage and odds biases of the European football gambling market . The Journal of Gambling Business and Economics vol. 7 , ( 2 ) 41 - 70 .
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 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 ,