Anthony Constantinou
made deep research on A.I. probabilistic methods, principally Bayesian networks
for intelligent decision making, management of risk, assessment of risk, and
prediction. Anthony Constantinou has
deep experience applying these probabilistic techniques in various areas
encompassing gaming, sports, preventive medicine, robotics, and economic
gambling.
Constantinou worked with prominent professors such as Martin Neil and
Norman Fenton to develop a new model of Bayesian network (BN) for forecasting
football match results. Up to day, the predictions are published online.
Anthony Constantinou
worked with these professors during his studies with the research group of risk
and information management at School of Electronic Engineering and Computer
Science located at QMUL. His outstanding work led to the first academic
research publication aimed to prove profitability. This is because
profitability is consistent for future results of matches against the football
gambling market. The EPSRC funded this research.
THE TRUTH ABOUT ANTHONY CONSTANTINOU |
Anthony Constantinou is also a fellow of post-doctoral research
with the Violence Prevention Research Unit from Wolfson Institute of Preventive
Medicine. He is developing currently models of Bayesian network for management
of risk and assessment of risk of violent re-offence with the assistance of
domain specialists.
The
NIHR is funding this research and one of the principal objectives of this task
is for a decision backup system of adequate complexity that can quantify
properly uncertainty and enhance risk management of violent recidivism via
different interventions.
AnthonyConstantinou has a large expertise in machine learning, artificial
intelligence, intelligent decision making, knowledge engineering, decision
backup systems, management of risk, assessment of risk, and Bayesian
interference.
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