| 2003 | IWANN | An Iterative Fuzzy Prototype Induction Algorithm. | Ins Gonzlez Rodrguez, Jonathan Lawry, James F. Baldwin |
| 2003 | KES | Asymmetric Triangular Fuzzy Sets for Classification Models. | James F. Baldwin, Sachin Baban Karale |
| 2001 | EUSFLAT | Imprecise belief updating for uncertain user modelling. | Jonathan Rossiter, Tru H. Cao, Trevor P. Martin, James F. Baldwin |
| 2000 | ICCS | User Modeling Using Conceptual Graphs for Intelligent Agents. | James F. Baldwin, Trevor P. Martin, Aimilia Tzanavari |
| 2000 | SAC | Semantic Discrimination Analysis for Feature Selection. | James F. Baldwin, Trevor P. Martin, Christiane Ponsan |
| 1999 | BMVC | Road Recognition Using Fuzzy Classifiers. | James G. Shanahan, Barry T. Thomas, Majid Mirmehdi, Trevor P. Martin, James F. Baldwin |
| 1997 | IJCAI | Mass Assignment Fundamentals for Computing with Words. | James F. Baldwin |
| 1997 | IJCAI | System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming. | James F. Baldwin, Trevor P. Martin, James G. Shanahan |
| 1997 | IJCAI | FRIL++ a Language for Object-Oriented Programming with Uncertainty. | James F. Baldwin, Trevor P. Martin, Maria Vargas-Vera |
| 1995 | IJCAI | Extracting Knowledge from Data Using an Intelligent Fuzzy Data Browser. | James F. Baldwin, Trevor P. Martin |
| 1993 | IJCAI | Fuzzy Sets, Fuzzy Clustering and Fuzzy Rules in AI. | James F. Baldwin |
| 1993 | IJCAI | Querying a Database with Fuzzy Attribute Values by Iterativ Updating of the Selection Criteria. | James F. Baldwin, Mark R. Coyne, Trevor P. Martin |
| 1991 | ECSQARU | A New Approach to Inference Under Uncertainty for Knowledge Based Systems. | James F. Baldwin |
| 1991 | IJCAI | A Theory of Mass Assignments for Artificial Intelligence. | James F. Baldwin |
| 1990 | IPMU | Towards a General Theory of Evidential Reasoning. | James F. Baldwin |
| 1990 | IPMU | An Abstract Mechanism for Handling Uncertainty. | Trevor P. Martin, James F. Baldwin |
| 1987 | BMVC | Concept Learning from Examples with Applications to a Vision Learning System. | Anca L. Ralescu, James F. Baldwin |