Publications

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Causal Analysis for Attributing Responsibility in Legal Cases

Chockler, H., Fenton N.E., Koeppens J., Lagnado, D. (2015), "Causal Analysis for Attributing Responsibility in Legal Cases", 15th International Conference on Artificial Intelligence & Law (ICAIL 2015), San Diego, June 8-12, 2015, pp 33-42, ACM ISBN 978-1-4503-3522-5

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

Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints

Zhou, Y., Fenton, N. E., Hospedales, T, & Neil, M. (2015). "Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints", 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), Amsterdam, 13-15 July 2015. Copy at Research Gate

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

An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints

Zhou, Y., Fenton, N. E., & Neil, M. (2014). An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints. In L. van der Gaag & A. J. Feelders (Eds.), Probabilistic Graphical Models: 7th European Workshop. PGM 2014, Utrecht. The Netherlands, September 17-19, 2014 (pp. 581–596). Springer Lecture Notes in AI 8754.

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

Determining the Level of Ability of Football Teams by Dynamic Ratings Based on the Relative Discrepancies in Scores between Adversaries

Constantinou, A. C. & Fenton, Norman E. (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, Iss. 1, 37–50. DOI

Tags: sports

Profiting from an Inefficient Association Football Gambling Market: Prediction, Risk and Uncertainty using Bayesian Networks

Constantinou, A. C., Fenton, Norman E. & Neil, Martin. (2013). Profiting from an inefficient Association Football gambling market: Prediction, Risk and Uncertainty using Bayesian networks. Knowledge-Based Systems, 50: 60-86. Open Access DOI

Tags: sports

Profiting from Arbitrage and Odds Biases of the European Football Gambling Market

Constantinou, A. C. & Fenton, Norman E. (2013). Profiting from arbitrage and odds biases of the European football gambling market. The Journal of Gambling Business and Economics, Vol. 7, 2: 41-70.

Tags: sports

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