| 2007 | IJCNN | Generalised Kernel Machines. | Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot |
| 2007 | IJCNN | Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. | Gavin C. Cawley, Nicola L. C. Talbot |
| 2005 | IJCNN | Sparse Bayesian learning and the relevance multi-layer perceptron network. | Gavin C. Cawley, Nicola L. C. Talbot |
| 2005 | IJCNN | A simple trick for constructing Bayesian formulations of sparse kernel learning methods. | Gavin C. Cawley, Nicola L. C. Talbot |
| 2004 | ESANN | Sparse Bayesian kernel logistic regression. | Gavin C. Cawley, Nicola L. C. Talbot |
| 2004 | ICPR | Efficient Model Selection for Kernel Logistic Regression. | Gavin C. Cawley, Nicola L. C. Talbot |
| 2004 | ICPR | Optimally Regularised Kernel Fisher Discriminant Analysis. | Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley |
| 2003 | ESANN | Efficient cross-validation of kernel fisher discriminant classifiers. | Gavin C. Cawley, Nicola L. C. Talbot |
| 2003 | ESANN | Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. | Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic |
| 2002 | ESANN | Efficient formation of a basis in a kernel induced feature space. | Gavin C. Cawley, Nicola L. C. Talbot |
| 2002 | ESANN | Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. | Robert J. Foxall, Gavin C. Cawley, Nicola L. C. Talbot, Stephen R. Dorling, Danilo P. Mandic |
| 2002 | ESANN | Fast exact leave-one-out cross-validation of least-squares Support Vector Machines. | Kamel Saadi, Gavin C. Cawley, Nicola L. C. Talbot |
| 2002 | ICANN | A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. | Gavin C. Cawley, Nicola L. C. Talbot |
| 1997 | ICIP | A Fast Index Assignment Method for Robust Vector Quantization of Image Data. | Nicola L. C. Talbot, Gavin C. Cawley |