Constantinou, A. C., Fenton, N., & Neil, M. (2016). Integrating expert knowledge with data in causal probabilistic networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Systems with Applications, In Press, 2016. [draft]

Constantinou, A. C., Marsh, W., Fenton, N., & Radlinski, L. (2016). From complex questionnaire and interviewing data to intelligent Bayesian models for medical decision support. Artificial Intelligence in Medicine, In Press, 2016[draft

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, 66: 41-52. [DOIdraft]

Y. Zhou, T. M. Hospedales, N. Fenton (2016), When and Where to Transfer for Bayes Net Parameter Learning, Expert Systems with Applications, in press. [doi]


Constantinou, A. C., Freestone, M., Marsh, W., & Coid, J. (2015). Causal inference for violence risk management and decision support in Forensic Psychiatry. Decision Support Systems, 80: 42-55[DOIdraft]

Shepherd, K., Hubbard, D., Fenton, N. E., Claxton, K., Luedeling, E., de Leeuw, J., (2015)  "Development goals should enable decision-making", Nature 532:  152-154,  9 July 2015, http://dx.doi.org/10.1038/523152a

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. Pre-publication draft here.  Published version:  http://dx.doi.org/10.1016/j.eswa.2015.05.025

Y. Yang and T. M. Hospedales. (2015) "A Unified Perspective on Multi-Domain and Multi-Task Learning", International Conference on Learning Representations (ICLR 2015) 

Y. Fu, T. M. Hospedales, T. Xiang and S. Gong. (2015) "Transductive Multi-view Zero-Shot Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence. http://dx.doi.org/10.1109/TPAMI.2015.2408354


Fenton, N. E. (2014). Assessing evidence and testing appropriate hypotheses. Science & Justice, 54(6), 502-504.  Pre-publication draft. Published version:  http://dx.doi.org/10.1016/j.scijus.2014.10.007   

Fenton, N. E., & Neil, M. (2014). "Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks". IEEE Software, 31(2), 21–26. http://dx.doi.org/10.1109/MS.2014.32  Author's final version here.

B Yet, Z Perkins, N Fenton, N Tai, W Marsh. (April, 2014). "Not just data: A method for improving prediction with knowledge." Journal of biomedical informatics, Volume 48, Pages 28–37. http://dx.doi.org/10.1016/j.jbi.2013.10.012

Constantinou, A. C., Fenton, N. E., & Pollock, L. J. H. (2014). Bayesian networks for unbiased assessment of referee bias in Association Football. Journal of Psychology of Sport and Exercise, Vol. 15, 5: 538-547. [DOIdraft] 


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].

Fenton, N. E., D. Lagnado and M. Neil (2013). "A General Structure for Legal Arguments Using Bayesian Networks."   Cognitive Science 37, 61-102 http://dx.doi.org/10.1111/cogs.12004.  Pre-publication version here.

Constantinou, A. C. and N. E. Fenton (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, 9(1): 37-50. Pre-publication version    http://dx.doi.org/10.1515/jqas-2012-0036


Fenton, N.E. and M. Neil, Risk Assessment and Decision Analysis with Bayesian Networks.  2012, CRC Press, ISBN: 9781439809105 , ISBN 10: 1439809100,  2012

Constantinou, A. C., Fenton, N. E. & Neil, M. (2012). pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowledge-Based Systems, 36: 322, 339. [DOIdraft]

T. M. Hospedales, S. Gong and T. Xiang, (2012). "A Unifying Theory of Active Discovery and Learning", European Conference on Computer Vision, (ECCV 2012), http://dx.doi.org/10.1007/978-3-642-33715-4_33

Constantinou, A. C. & Fenton, N. E. (2012). Solving the Problem of Inadequate Scoring Rules for Assessing Probabilistic Football Forecast Models. Journal of Quantitative Analysis in Sports: Vol. 8: Iss. 1, Article 1[DOIdraft]



Fenton, N. E. (2011). "Science and law: Improve statistics in court." Nature 479: 36-37.  Paper on Nature online website is here. http://dx.doi.org/10.1038/479036a  An extended draft on which this was based is here.

Fenton, N.E. and Neil, M. (2011), 'Avoiding Legal Fallacies in Practice Using Bayesian Networks', Australian Journal of Legal Philosophy 36, 114-151, 2011 ISSN 1440-4982 (extended preprint draft here).


Neil, M., Marquez, D. and Fenton, N. E. (2010). "Improved Reliability Modeling using Bayesian Networks and Dynamic Discretization." Reliability Engineering & System Safety, 95(4), 412-425, http://dx.doi.org/10.1016/j.ress.2009.11.012

Before 2010