| pi-football: A Bayesian network model for forecasting Association Football match outcomes AC Constantinou, NE Fenton, M Neil Knowledge-Based Systems, 36: 322-339, 2012 | 216 | 2012 |
| From complex questionnaire and interviewing data to intelligent Bayesian Network models for medical decision support AC Constantinou, N Fenton, W Marsh, L Radlinski Artificial Intelligence in Medicine 67, 75-93, 2016 | 185 | 2016 |
| A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study B Yet, A Constantinou, N Fenton, M Neil, E Luedeling, K Shepherd Expert Systems with Applications 60, 75-93, 2016 | 153 | 2016 |
| A survey of Bayesian Network structure learning NK Kitson, AC Constantinou, Z Guo, Y Liu, K Chobtham Artificial Intelligence Review, 2023 | 151 | 2023 |
| Integrating Expert Knowledge with Data in Bayesian Networks: Preserving Data-Driven Expectations when the Expert Variables Remain Unobserved A Constantinou, N Fenton, M Neil Expert Systems with Applications 56, 197-208, 2016 | 121 | 2016 |
| Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries AC CONSTANTINOU, NE FENTON Journal of Quantitative Analysis in Sports. 9 (1), 37-50, 2013 | 98 | 2013 |
| Solving the problem of inadequate scoring rules for assessing probabilistic football forecast models AC Constantinou, NE Fenton Journal of Quantitative Analysis in Sports 8 (1), 1559-0410.1418, 2012 | 97 | 2012 |
| Dolores: A model that predicts football match outcomes from all over the world A Constantinou Machine Learning, 1-27, 2018 | 94 | 2018 |
| Profiting from an Inefficient Association Football Gambling Market: Prediction, Risk and Uncertainty Using Bayesian Networks AC CONSTANTINOU, NE FENTON, M NEIL Knowledge-Based Systems, 50: 60-86, 2013 | 90 | 2013 |
| Towards Smart-Data: Improving predictive accuracy in long-term football team performance A Constantinou, N Fenton Knowledge-Based Systems 124, 93-104, 2017 | 77 | 2017 |
| Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data AC Constantinou, Y Liu, K Chobtham, Z Guo, NK Kitson International Journal of Approximate Reasoning 131, 151-188, 2021 | 69 | 2021 |
| Profiting from arbitrage and odds biases of the European football gambling market AC Constantinou, NE Fenton The Journal of Gambling Business and Economics 7, 41-70, 2013 | 59 | 2013 |
| Risk assessment and risk management of violent reoffending among prisoners AC Constantinou, M Freestone, W Marsh, N Fenton, J Coid Expert Systems with Applications, 42(21): 7511-7529, 2015 | 54 | 2015 |
| Causal inference for violence risk management and decision support in forensic psychiatry AC Constantinou, M Freestone, W Marsh, J Coid Decision Support Systems 80, 42-55, 2015 | 46 | 2015 |
| How to model mutually exclusive events based on independent causal pathways in Bayesian network models N Fenton, M Neil, D Lagnado, W Marsh, B Yet, A Constantinou Knowledge-Based Systems 113, 39-50, 2016 | 39 | 2016 |
| Things to know about Bayesian Networks A Constantinou, N Fenton Significance 15 (2), 19-23, 2018 | 34 | 2018 |
| Improving risk management for violence in mental health services: a multimethods approach JW Coid, S Ullrich, C Kallis, M Freestone, R Gonzalez, L Bui, ... Programme grants for applied research, 2016 | 34 | 2016 |
| Bayesian networks for unbiased assessment of referee bias in Association Football A Constantinou, N Fenton, L Pollock Psychology of Sport and Exercise 15 (5), 538-547, 2014 | 33 | 2014 |
| Value of Information analysis for Interventional and Counterfactual Bayesian networks in Forensic Medical Sciences AC Constantinou, B Yet, N Fenton, M Neil, W Marsh Artificial Intelligence in Medicine 66, 41-52, 2016 | 30 | 2016 |
| Bayesian network structure learning with causal effects in the presence of latent variables K Chobtham, AC Constantinou In Proceedings of the 10th International Conference on Probabilistic …, 2020 | 26 | 2020 |
