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Catalogue of Outputs from the BAYES-KNOWLEDGE

Attached is a list of BAYES-KNOWLEDGE outputs

Attachments:
Access this URL (http://bayes-knowledge.com/papers/catalogue.pdf)catalogue.pdf[PDF]428 kB

Towards Smart-Data: Improving Predictive Accuracy in Long-term Football Team Performance

Constantinou, A. C. and Fenton, N. (2017). "Towards Smart-Data: Improving predictive accuracy in long-term football team performance". Knowledge-Based Systems, Vol 124, pages 93-104

DOI  Open access pre-publication version.   See blog posting

Tags: sports

Bayesian Torrent Classification by File Name and Size Only

Dementiev E and Fenton N E, "Bayesian Torrent Classification by File Name and Size Only", International Conference on Probabilistic Graphical Models, Lugano, Switzerland, 06 Sep 2016 - 09 Sep 2016. Journal of Machine Learning Research. 52: 136-147. 09 Sep 2016.  Published version.

Improving Predictive Accuracy Using Smart-Data Rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance

Constantinou, A. and Fenton, N.E.. "Improving predictive accuracy using Smart-Data rather than Big-Data: A case study of soccer teams' evolving performance"  In Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016), 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), New York City, USA, June 25-29, 2016. Published version

Tags: sports

A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study

Yet, B., Constantinou, A. C., Fenton, N., Neil, M., Luedeling, E., & Shepherd, K. (2016). "A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study".  Expert Systems with Applications, Volume 60 Oct 2016, pages 141-155

DOI  pre-publication version here  See also blog posting

Tags: agriculture

Integrating Expert Knowledge with Data in Causal Probabilistic Networks: Preserving the Data-driven Expectations when the Expert Variables Remain Unobserved

Constantinou, A. C., Fenton, N.E, & Neil, M. (2016), "Integrating expert knowledge with data in causal probabilistic networks: preserving the data-driven expectations when the expert variables remain unobserved". Expert Systems with Applications, 56 pp 197-208

DOI.   Pre-publication version.

From Complex Questionnaire and Interviewing Data to Intelligent Bayesian Network Models for Medical Decision Support

Constantinou, A. C., Fenton, N., Marsh, W., & Radlinski, L. (2016). "From complex questionnaire and interviewing data to intelligent Bayesian Network models for medical decision support", Artificial Intelligence in Medicine, 2016. Vol 67 pages 75-93

DOI,  Pre-publication version here.

Tags: medical

Using Bayesian Networks to Guide the Assessment of New Evidence in an Appeal Case

Smit, N. M., Lagnado, D. A., Morgan, R. M., & Fenton, N. E. (2016). "Using Bayesian networks to guide the assessment of new evidence in an appeal case". Crime Science, 2016, 5: 9

DOI, Published version pdf, see also blog posting.

Tags: law

How to Model Mutually Exclusive Events Based on Independent Causal pathways in Bayesian Network Models

Fenton NE, Neil M, Lagnado D, Marsh W, Yet B, Constantinou A, "How to model mutually exclusive events based on independent causal pathways in Bayesian network models", Knowledge-Based Systems, Dec 2016 Vol 113, pages 39-50. Gold access full version   DOI   See also blog posting

When and Where to Transfer for Bayes Net Parameter Learning

Zhou, Y., Hospedales, T., Fenton, N. E. (2016), "When and Where to Transfer for Bayes Net Parameter Learning", Expert Systems with Applications. 55,  361-373

DOI, See also blog posting

An Empirical Study of Bayesian Network Parameter Learning with Monotonic Causality Constraints

Zhou, Y., Fenton, N. E., Zhu, C. (2016), "An Empirical Study of Bayesian Network Parameter Learning with Monotonic Causality Constraints",  Decision Support Systems Vol 87, pages 69-79.

DOI  ,pre-publication version here.  See also blog posting 

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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