Dr Anthony Constantinou
Senior Lecturer (Associate Prof)
Head of the MInDS Research Group
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
Causal machine learning, Causal discovery, Decision systems, Bayesian networks, Graphical models, Causal AI
Interests
My research focuses on causal discovery and modelling for optimal decision-making under uncertainty. I collaborate with academics and industry organisations to apply my research across various disciplines including healthcare, defence, sports, economics, and gaming. I lead the Bayesian AI lab and the broader MInDS research group.Publications of specific relevance to the Centre for Multimodal AI
Publications of specific relevance to the Centre for Multimodal AI2025
Stable structure learning with HC-Stable and Tabu-Stable algorithmsKitson NK Constantinou AC
International Journal of Approximate Reasoning, Elsevier vol. 186
01-11-2025
Causal insights into gestational diabetes mellitusZahoor S Constantinou AC O’Halloran F O’Mahony L O’Riordan M Kgosidialwa O Culliney L Alhajri MS et al.
Frontiers in Endocrinology, Frontiers vol. 16
19-09-2025
Federated causal discovery with missing data in a multicentric study on endometrial cancerZanga A Bernasconi A Lucas PJF Pijnenborg H Reijnen C Scutari M Constantinou AC
Journal of Biomedical Informatics, Elsevier vol. 169
22-07-2025
Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning for optimal decision-makingConstantinou AC Higgins N Kitson NK
In Arxiv
13-04-2025
Stable Structure Learning with HC-Stable and Tabu-Stable AlgorithmsKitson NK Constantinou AC
In Arxiv
02-04-2025
Investigating potential causes of Sepsis with Bayesian network structure learningPetrungaro B Kitson NK Constantinou AC
In Arxiv
03-03-2025
Causal discovery using dynamically requested knowledgeKitson NK Constantinou AC
In Arxiv
25-02-2025
2024
Using GPT-4 to guide causal machine learning.Constantinou AC Kitson NK Zanga A
Expert Systems With Applications, Elsevier
12-12-2024
Eliminating Variable Order Instability in Greedy Score-Based Structure LearningKitson NEVILLE Constantinou A
Probabilistic Graphical Models The Netherlands.
11-09-2024
Using GPT-4 to guide causal machine learningConstantinou AC Kitson NK Zanga A
In Arxiv
26-07-2024
The impact of variable ordering on Bayesian network structure learningKitson NK Constantinou AC
Data Mining and Knowledge Discovery, Springer Nature, 1-25.
08-06-2024
Tuning structure learning algorithms with out-of-sample and resampling strategiesChobtham K Constantinou AC
Knowledge and Information Systems, Springer Nature vol. 66 (8), 4927-4955.
24-05-2024
Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetesZahoor S Constantinou AC Curtis TM Hasanuzzaman M
In Arxiv
21-03-2024
Investigating potential causes of Sepsis with Bayesian network structure learning.Petrungaro B Kitson NK Constantinou AC
Corr vol. abs/2406.09207
01-01-2024
2023
Open problems in causal structure learning: A case study of COVID-19 in the UKConstantinou A Kitson NK Liu Y Chobtham K Amirkhizi AH Nanavati PA Mbuvha R Petrungaro B
Expert Systems With Applications, Elsevier vol. 234
01-08-2023
The impact of prior knowledge on causal structure learningConstantinou AC Guo Z Kitson NK
Knowledge and Information Systems, Springer Nature vol. 65 (8), 3385-3434.
08-04-2023
Improving the imputation of missing data with Markov Blanket discoveryLiu Y Constantinou A
International Conference on Learning Representations (ICLR-2023).
08-02-2023
A survey of Bayesian Network structure learningKitson NK Constantinou AC Guo Z Liu Y Chobtham K
Artificial Intelligence Review, Springer
17-01-2023
2022
Effective and efficient structure learning with pruning and model averaging strategiesConstantinou AC Liu Y Kitson NK Chobtham K Guo Z
International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, Elsevier vol. 151, 292-321.
13-10-2022
Investigating the efficiency of the Asian handicap football betting market with ratings and Bayesian networksConstantinou AC
Journal of Sports Analytics vol. 8 (3), 171-193.
15-09-2022
Greedy structure learning from data that contain systematic missing values.Liu Y Constantinou AC
Machine Learning, Springer
10-08-2022
2021
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data.Constantinou AC Liu Y Chobtham K Guo Z Kitson NK
International Journal of Approximate Reasoning, Elsevier vol. abs/2005.09020
25-01-2021
2020
Learning Bayesian networks from demographic and health survey data.Kitson NK Constantinou AC
Journal of Biomedical Informatics, Elsevier
17-11-2020
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets.Guo Z Constantinou AC
Entropy, Mdpi Ag vol. 22 (10)
10-10-2020
Bayesian network structure learning with causal effects in the presence of latent variables.Chobtham K Constantinou AC
In Proceedings of The 10th International Conference on Probabilistic Graphical Models (Pgm-2020), Aalborg, Denmark
23-09-2020
The importance of temporal information in Bayesian network structure learningConstantinou A
Expert Systems With Applications, Elsevier vol. 164
17-08-2020
Learning Bayesian Networks That Enable Full Propagation of EvidenceConstantinou AC
IEEE Access vol. 8, 124845-124856.
08-07-2020
2018
Dolores: A model that predicts football match outcomes from all over the worldCONSTANTINOU AC
Machine Learning, Springer Verlag
03-05-2018
Things to know about Bayesian networksCONSTANTINOU AC FENTON N
Significance, Royal Statistical Society
16-04-2018
An Improved Method for Solving Hybrid Influence DiagramsYET B NEIL M FENTON N CONSTANTINOU AC DEMENTIEV E
International Journal of Approximate Reasoning, Elsevier
01-04-2018
Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic DiscretizationYet B Constantinou A Fenton N Neil M
IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) vol. 6, 7802-7817.
01-01-2018
2017
The future of the London Buy-To-Let property market: Simulation with temporal Bayesian NetworksCONSTANTINOU AC Fenton N
Plos One, Public Library of Science (Plos) vol. 12 (6)
27-06-2017
2016
Improving risk management for violence in mental health services: a multimethods approachCoid JW Ullrich S Kallis C Freestone M Gonzalez R Bui L Igoumenou A Constantinou A et al.
Programme Grants For Applied Research vol. 4 (16), 1-408.
01-11-2016
How to model mutually exclusive events based on independent causal pathways in Bayesian network modelsFenton N Neil M Lagnado D William M Yet B CONSTANTINOU AC
Knowledge-Based Systems
17-09-2016
A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case StudyYet B CONSTANTINOU AC Fenton N Neil M Luedeling E Shepherd K
Expert Systems With Applications
04-05-2016
Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobservedCONSTANTINOU AC FENTON N NEIL M
Expert Systems With Applications
18-03-2016
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision supportConstantinou AC Fenton N Marsh W Radlinski L
Artificial Intelligence in Medicine, Elsevier vol. 67, 75-93.
16-01-2016
2015
Causal inference for violence risk management and decision support in forensic psychiatryCONSTANTINOU AC Freestone M Marsh W Coid J
Decision Support Systems vol. 80, 42-55.
08-10-2015
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciencesConstantinou AC Yet B Fenton N Neil M Marsh W
Artificial Intelligence in Medicine, Elsevier vol. 66, 41-52.
08-09-2015
Risk assessment and risk management of violent re-offending among prisonersConstantinou AC Freestone M Marsh W Fenton NE Coid J
Expert Systems With Applications vol. 42 (21)
28-05-2015
2014
Bayesian networks for unbiased assessment of referee bias in Association FootballConstantinou AC Fenton NE Pollock LJH
Psychology of Sport and Exercise, Elsevier vol. 15 (5), 538-547.
01-09-2014
2013
Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversariesConstantinou A FENTON NE
Journal of Quantitative Analysis in Sports vol. 9 (1), 37-50.
01-01-2013
Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networksConstantinou AC Fenton NE Neil M
Knowledge-Based Systems vol. 50, 60-86.
01-01-2013
2012
pi-football: A Bayesian network model for forecasting Association Football match outcomesConstantinou A FENTON NE Neil M
Knowledge Based Systems, Elsevier vol. 36, 322-339.
01-12-2012
Solving the problem of inadequate scoring rules for assessing probabilistic football forecasting modelsConstantinou A FENTON NE
Journal of Quantitative Analysis in Sports vol. 8 (1)
12-03-2012
Grants
Grants of specific relevance to the Centre for Multimodal AIDSTL EM Hub supplementary projectAkram Alomainy and Anthony Constantinou
£250,000 Defence Science and Technology Lab.-GOV UK
01-09-2025 - 28-02-2027
Bayesian Artificial Intelligence for Decision Making under UncertaintyAnthony Constantinou
£502,080 Engineering and Physical Sciences Research Council
01-06-2018 - 31-05-2021
Research Group
PhD Students
- Fatimah Amla
Minds - Zahir Nikraftar
Enhancing Climate Forecasting Using Probabilistic Machine Learning - Bruno Petrungaro
Enhancing The Process of Constructing Causal Models For Time-Series Healthcare Decision Support
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