Dr Anthony Constantinou

Senior Lecturer
School of Electronic Engineering and Computer Science
Peter Landin, CS 332
http://www.constantinou.info
a.constantinou@qmul.ac.uk
www.eecs.qmul.ac.uk/profiles/constantinouanthony.html
Research
Bayesian Artificial Intelligence, uncertainty quantification for optimal real-world decision making, Intelligent Games and Game Intelligence
Interests
His research interests are in Bayesian Artificial Intelligence and uncertainty quantification for optimal real-world decision making. He applies his research to a wide range of areas including sports, economics, medicine and forensics, for both academic research and industrial organisations. He currently collaborates with organisations world-wide primarily in, but not limited to, the sports betting industry.
Publications

Publications of specific relevance to Applied Data Science
2020
Constantinou A (2020).
Learning Bayesian Networks with the Saiyan algorithm. Association For Computing Machinery Acm Transactions On Knowledge Discovery From Data 10.1145/3385655
Constantinou AC (2020).
Asian Handicap football betting with Rating-based Hybrid Bayesian Networks. Corr vol. abs/2003.09384,
Constantinou AC (2020).
Learning Bayesian Networks that enable full propagation of evidence. Corr vol. abs/2004.04571,
Constantinou AC, Liu Y, Chobtham K, Guo Z and Kitson NK (2020).
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. Corr vol. abs/2005.09020,

Chobtham K and
Constantinou AC (2020).
Bayesian network structure learning with causal effects in the presence of latent variables. Corr vol. abs/2005.14381,

Guo Z and
Constantinou AC (2020).
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets. Corr vol. abs/2006.04753,
2019
Constantinou AC (2019).
Evaluating structure learning algorithms with a balanced scoring function. Corr vol. abs/1905.12666,
Fenton NE, Neil M and
Constantinou AC (2019).
Simpson's Paradox and the implications for medical trials. Corr vol. abs/1912.01422,

Kitson NK and
Constantinou AC (2019).
Learning Bayesian networks from demographic and health survey data. Corr vol. abs/1912.00715,
2018
2017
2016
2015
2014
2013
Constantinou A and
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.
10.1515/jqas-2012-0036
Constantinou A and
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.
2012
Grants

Grants of specific relevance to Applied Data Science
Bayesian Artificial Intelligence for Decision Making under Uncertainty (BAYES-AI)Constantinou AC£475,818
Engineering and Physical Sciences Research Council (31-05-2018 - 30-05-2021)
Summary