| 2021 | CogSci | Categorical Belief Updating Under Uncertainty. | Stephen H. Dewitt, Carmen Li, Daniel Koh, Norman E. Fenton, David A. Lagnado |
| 2019 | CogSci | Nested Sets and Natural Frequencies. | Stephen H. Dewitt, Anne Hsu, David A. Lagnado, Saoirse Connor Desai, Norman E. Fenton |
| 2018 | CogSci | Updating Prior Beliefs Based on Ambiguous Evidence. | Stephen H. Dewitt, David A. Lagnado, Norman E. Fenton |
| 2017 | ICAIL | The opportunity prior: a simple and practical solution to the prior probability problem for legal cases. | Norman E. Fenton, David A. Lagnado, Christian Dahlman, Martin Neil |
| 2016 | UAI | Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance. | Anthony C. Constantinou, Norman E. Fenton |
| 2015 | ICAIL | Causal analysis for attributing responsibility in legal cases. | Hana Chockler, Norman E. Fenton, Jeroen Keppens, David A. Lagnado |
| 2015 | UAI | Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. | Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil |
| 2013 | IJCAI | Incorporating Expert Judgement into Bayesian Network Machine Learning. | Yun Zhou, Norman E. Fenton, Martin Neil, Cheng Zhu |
| 2013 | UAI | Predicting Latent Variables with Knowledge and Data: A Case Study in Trauma Care. | Barbaros Yet, William Marsh, Zane Perkins, Nigel Tai, Norman E. Fenton |
| 2004 | ICSE | Making Resource Decisions for Software Projects. | Norman E. Fenton, William Marsh, Martin Neil, Patrick Cates, Simon Forey, Manesh Tailor |
| 2001 | ECSQARU | Probabilistic Modelling for Software Quality Control. | Norman E. Fenton, Paul Krause, Martin Neil |
| 2000 | ICSE | Software metrics: roadmap. | Norman E. Fenton, Martin Neil |