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Anthony C. Constantinou
Anthony C. Constantinou
Senior Lecturer (Associate Prof) at Queen Mary University of London
Email verificata su qmul.ac.uk - Home page
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Citata da
Citata da
Anno
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
2042012
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
1782016
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
1442016
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
1062016
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
942013
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
892012
A survey of Bayesian Network structure learning
NK Kitson, AC Constantinou, Z Guo, Y Liu, K Chobtham
Artificial Intelligence Review, 2023
852023
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
842013
Dolores: A model that predicts football match outcomes from all over the world
A Constantinou
Machine Learning, 1-27, 2018
832018
Towards Smart-Data: Improving predictive accuracy in long-term football team performance
A Constantinou, N Fenton
Knowledge-Based Systems 124, 93-104, 2017
752017
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
582021
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
542013
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
522015
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
452015
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
392016
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
322016
Things to know about Bayesian Networks
A Constantinou, N Fenton
Significance 15 (2), 19-23, 2018
312018
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
302016
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
302014
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
212020
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