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Research
  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: DR Anthony Constantinou

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Kitson NK, Constantinou AC ( 2025 ) . Stable structure learning with HC-Stable and Tabu-Stable algorithms . International Journal of Approximate Reasoning vol. 186 , Article 109522 , 109522 - 109522 .
Zanga A, Bernasconi A, Lucas PJF, Pijnenborg H, Reijnen C, Scutari M, Constantinou AC ( 2025 ) . Federated causal discovery with missing data in a multicentric study on endometrial cancer . Journal of Biomedical Informatics vol. 169 , Article 104877 , 104877 - 104877 .
Constantinou AC, Higgins N, Kitson NK ( 2025 ) . Decoding the mechanisms of the Hattrick football manager game using\n Bayesian network structure learning for optimal decision-making .
Kitson NK, Constantinou AC ( 2025 ) . Causal discovery using dynamically requested knowledge .
Kitson NK, Constantinou AC ( 2025 ) . Stable Structure Learning with HC-Stable and Tabu-Stable Algorithms .
Petrungaro B, Kitson NK, Constantinou AC ( 2025 ) . Investigating potential causes of Sepsis with Bayesian network structure learning .
Constantinou AC, Kitson NK, Zanga A ( 2024 ) . Using GPT-4 to guide causal machine learning .
Zahoor S, Constantinou AC, Curtis TM, Hasanuzzaman M ( 2024 ) . Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes .
Kitson NK, Constantinou AC ( 2024 ) . Eliminating Variable Order Instability in Greedy Score-Based Structure Learning . Proceedings of Machine Learning Research . vol. 246 , 147 - 163 .
Petrungaro B, Kitson NK, Constantinou AC ( 2024 ) . Investigating potential causes of Sepsis with Bayesian network structure learning . CoRR vol. abs/2406.09207 ,
Constantinou AC, Kitson NK, Zanga A ( 2024 ) . Using GPT-4 to guide causal machine learning . CoRR vol. abs/2407.18607 ,
Constantinou AC, Kitson NK, Liu Y, Chobtham K, Hashemzadeh A, Nanavati PA, Mbuvha R, Petrungaro B ( 2023 ) . Open problems in causal structure learning: A case study of COVID-19 in the UK . Expert Syst. Appl. vol. 234 , 121069 - 121069 .
Constantinou A, Kitson NK, Liu Y, Chobtham K, Hashemzadeh A, Nanavati PA, Mbuvha R, Petrungaro B ( 2023 ) . Open problems in causal structure learning: A case study of COVID-19 in\n the UK .
Okagbue HI, Constantinou AC, Iyiola TP, Adedotun AF ( 2023 ) . STATISTICAL ANALYSIS OF REGIONAL DISTRIBUTION OF FOOTBALL CLUBS IN ENGLISH TOP FLIGHT LEAGUE . Advances and Applications in Statistics vol. 87 , ( 1 ) 43 - 60 .
Liu Y, Constantinou AC ( 2023 ) . Improving the imputation of missing data with Markov Blanket discovery . ICLR .
Constantinou AC, Guo Z, Kitson NK ( 2023 ) . The impact of prior knowledge on causal structure learning . Knowl. Inf. Syst. vol. 65 , Article 8 , 3385 - 3434 .
Chobtham K, Constantinou AC ( 2023 ) . Tuning structure learning algorithms with out-of-sample and resampling strategies . CoRR vol. abs/2306.13932 ,
Guo Z, Constantinou AC ( 2022 ) . Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning .
Chobtham K, Constantinou AC ( 2022 ) . Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound . PGM . vol. 186 , 121 - 132 .
Liu Y, Constantinou AC ( 2022 ) . Greedy structure learning from data that contain systematic missing values . Mach. Learn. vol. 111 , Article 10 , 3867 - 3896 .
Kitson NK, Constantinou AC ( 2022 ) . The Impact of Variable Ordering on Bayesian Network Structure Learning . CoRR vol. abs/2206.08952 ,
Chobtham K, Constantinou AC, Kitson NK ( 2021 ) . Hybrid Bayesian network discovery with latent variables by scoring\n multiple interventions .
Constantinou AC ( 2021 ) . Investigating the efficiency of the Asian handicap football betting market with ratings and Bayesian networks . Journal of Sports Analytics vol. 8 , ( 3 ) 171 - 193 .
Kitson NK, Constantinou AC, Guo Z, Liu Y, Chobtham K ( 2021 ) . A survey of Bayesian Network structure learning .
Constantinou AC, Fenton N, Neil M ( 2021 ) . How do some Bayesian Network machine learned graphs compare to causal\n knowledge? .
Constantinou AC, Liu Y, Kitson NK, Chobtham K, Guo Z ( 2021 ) . Effective and efficient structure learning with pruning and model averaging strategies . CoRR vol. abs/2112.00398 ,
Liu Y, Constantinou AC ( 2021 ) . Greedy structure learning from data that contains systematic missing values . CoRR vol. abs/2107.04184 ,
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 ( 2021 ) . The importance of temporal information in Bayesian network structure learning . Expert Syst. Appl. vol. 164 , 113814 - 113814 .
Liu Y, Constantinou AC, Guo Z ( 2020 ) . Improving Bayesian Network Structure Learning in the Presence of Measurement Error .
Constantinou AC ( 2020 ) . Learning Bayesian Networks with the Saiyan Algorithm . ACM Transactions on Knowledge Discovery from Data vol. 14 , ( 4 ) 1 - 21 .
Constantinou A ( 2020 ) . Learning Bayesian Networks that enable full propagation of evidence .
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 . IEEE Access vol. 8 , 124845 - 124856 .
Constantinou AC ( 2020 ) . Learning Bayesian Networks that enable full propagation of evidence . CoRR vol. abs/2004.04571 ,
Constantinou AC ( 2020 ) . Learning Bayesian Networks with the Saiyan Algorithm . ACM Trans. Knowl. Discov. Data vol. 14 , Article 4 , 44:1 - 44:1 .
Fenton NE, Neil M, Constantinou AC ( 2020 ) . The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018) . Artif. Intell. vol. 284 , 103286 - 103286 .
Constantinou AC ( 2019 ) . Evaluating structure learning algorithms with a balanced scoring\n function .
Constantinou AC ( 2019 ) . Dolores: a model that predicts football match outcomes from all over the world . Mach. Learn. vol. 108 , Article 1 , 49 - 75 .
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, Fenton N ( 2018 ) . Things to know about Bayesian Networks: Decisions under Uncertainty, Part 2 . Significance vol. 15 , ( 2 ) 19 - 23 .
Yet B, Neil M, Fenton NE, Constantinou AC, Dementiev E ( 2018 ) . An improved method for solving Hybrid Influence Diagrams . Int. J. Approx. Reason. vol. 95 , 93 - 112 .
Yet B, Constantinou AC, Fenton NE, 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 ) e0179297 - e0179297 .
Constantinou AC, Fenton NE ( 2017 ) . Towards smart-data: Improving predictive accuracy in long-term football team performance . Knowl. Based Syst. vol. 124 , 93 - 104 .
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 .
Yet B, Constantinou AC, Fenton NE, Neil M, Luedeling E, Shepherd KD ( 2016 ) . A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study . Expert Syst. Appl. vol. 60 , 141 - 155 .
Constantinou AC, Fenton NE, Marsh W, Radlinski L ( 2016 ) . From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support . Artif. Intell. Medicine vol. 67 , 75 - 93 .
Fenton NE, Neil M, Lagnado DA, Marsh W, Yet B, Constantinou AC ( 2016 ) . How to model mutually exclusive events based on independent causal pathways in Bayesian network models . Knowl. Based Syst. vol. 113 , 39 - 50 .
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 . vol. 1663 , 54 - 55 .
Constantinou AC, Fenton NE, Neil M ( 2016 ) . Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved . Expert Syst. Appl. vol. 56 , 197 - 208 .
Constantinou AC, Yet B, Fenton NE, Neil M, Marsh W ( 2016 ) . Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences . Artif. Intell. Medicine vol. 66 , 41 - 52 .
Constantinou AC, Freestone M, Marsh W, Coid J ( 2015 ) . Causal inference for violence risk management and decision support in forensic psychiatry . Decis. Support Syst. vol. 80 , 42 - 55 .
Constantinou AC, Freestone M, Marsh W, Fenton NE, Coid J ( 2015 ) . Risk assessment and risk management of violent reoffending among prisoners . Expert Syst. Appl. vol. 42 , Article 21 , 7511 - 7529 .
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 ( 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 AC, Fenton NE, Neil M ( 2013 ) . Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks . Knowl. Based Syst. vol. 50 , 60 - 86 .
Constantinou AC, Fenton NE ( 2012 ) . Solving the Problem of Inadequate Scoring Rules for Assessing Probabilistic Football Forecast Models . Journal of Quantitative Analysis in Sports vol. 8 , ( 1 ) 1 - 14 .
Constantinou AC, Fenton NE, Neil M ( 2012 ) . pi-football: A Bayesian network model for forecasting Association Football match outcomes . Knowl. Based Syst. vol. 36 , 322 - 339 .
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