Case Studies

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Project Cost, Benefit and Risk Analysis using Bayesian Networks

Yet, B., Constantinou A., Fenton N. E., Neil M., Leudeling E., Shepherd, K., "Project Cost, Benefit and Risk Analysis using Bayesian Networks", Bayesian Applications Workshop, 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), Amsterdam, 16 July 2015.

Tags: agriculture

Risk Assessment and Risk Management of Violent Reoffending among Prisoners

Constantinou, A., Freestone M., Marsh, W., Fenton, N. E. , Coid, J. (2015) "Risk Assessment and Risk Management of Violent Reoffending among Prisoners", Expert Systems With Applications 42 (21), 7511-7529. DOI: http://dx.doi.org/10.1016/j.eswa.2015.05.025

Tags: medicalpsychiatry

Value of Information Analysis for Interventional and Counterfactual Bayesian Networks in Forensic Medical Sciences

Constantinou A. C., Yet B., Fenton N., Neil M., & Marsh W. (2015). "Value of Information Analysis for Interventional and Counterfactual Bayesian Networks in Forensic Medical Sciences". Artificial Intelligence in Medicine. DOI: http://dx.doi.org/10.1016/j.artmed.2015.09.002

Tags: psychiatry

Bayesian Networks for Unbiased Assessment of Referee Bias in Association Football

Constantinou, A. C., Fenton, N. E., & Pollock, L. (2014). "Bayesian Networks for Unbiased Assessment of Referee Bias in Association Football". Psychology of Sport & Exercise, 15(5) 538–547, DOI

Tags: sports

When ‘Neutral’ Evidence Still Has Probative Value (with Implications from the Barry George Case)

Fenton, N. E., D. Berger, D. Lagnado, M. Neil and A. Hsu, (2014). "When ‘Neutral’ Evidence Still Has Probative Value (with Implications from the Barry George Case)", Science and Justice, 54(4), 274-287 http://dx.doi.org/10.1016/j.scijus.2013.07.002

Tags: law

Calculating and Understanding the Value of any Type of Match Evidence When there are Potential Testing Errors

Fenton, N. E., Neil, M., & Hsu, A. (2014). "Calculating and Understanding the Value of any Type of Match Evidence When there are Potential Testing Errors". Artificial Intelligence and Law, 22. 1-28. DOI: http://dx.doi.org/10.1007/s10506-013-9147-x

Tags: law

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