| 2015 | IJCNN | Design of the 2015 ChaLearn AutoML challenge. | Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Nria Maci, Bisakha Ray, Mehreen Saeed, Alexander R. Statnikov, Evelyne Viegas |
| 2015 | IJCNN | Benchmarking the semi-supervised nave Bayes classifier. | Awat A. Saeed, Gavin C. Cawley, Anthony J. Bagnall |
| 2012 | IDA | Over-Fitting in Model Selection and Its Avoidance. | Gavin C. Cawley |
| 2011 | IJCNN | Sparse Bayesian prediction of disordered residues and disordered regions based on amino-acid composition. | Gavin C. Cawley, Steven Hayward, Gareth J. Janacek, Geoff R. Moore |
| 2010 | IJCNN | Design and analysis of the WCCI 2010 active learning challenge. | Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire |
| 2008 | Interspeech | Comparing text-driven and speech-driven visual speech synthesisers. | Barry-John Theobald, Gavin C. Cawley, J. Andrew Bangham, Iain A. Matthews, Nicholas Wilkinson |
| 2007 | ESANN | Model Selection for Kernel Probit Regression. | Gavin C. Cawley |
| 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 |
| 2007 | IJCNN | Agnostic Learning vs. Prior Knowledge Challenge. | Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley |
| 2006 | IJCNN | Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs. | Gavin C. Cawley |
| 2006 | IJCNN | Predictive Uncertainty in Environmental Modelling. | Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling |
| 2005 | ESANN | sparse Bayesian promoter based gene classification. | Kee Khoon Lee, Gavin C. Cawley, Michael W. Bevan |
| 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 |
| 2005 | IJCNN | Predicting sugar regulation in Arabidopsis thaliana using kernel learning methods. | Kamel Saadi, Kee Khoon Lee, Gavin C. Cawley, Michael W. Bevan |
| 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 | BMVC | 2.5D Visual Speech Synthesis Using Appearance Models. | Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, John R. W. Glauert, Gavin C. Cawley |
| 2003 | ESANN | Statistical downscaling with artificial neural networks. | Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling, Clare Goodess, Phil D. Jones |
| 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 |
| 2003 | ICASSP | Near-videorealistic synthetic visual speech using non-rigid appearance models. | Barry-John Theobald, Gavin C. Cawley, Iain A. Matthews, J. Andrew Bangham |
| 2003 | IJCNN | Learning classifier systems for data mining: a comparison of XCS with other classifiers for the Forest Cover data set. | Anthony J. Bagnall, Gavin C. Cawley |
| 2003 | IJCNN | Interpretation of geophysical surveys of archaeological sites using artificial neural networks. | David J. Bescoby, Gavin C. Cawley, P. Neil Chroston |
| 2003 | IJCNN | Modelling the growth domain of Clostridium botulinum via kernel survival analysis. | Robert J. Foxall, Gavin C. Cawley, Michael W. Peck |
| 2003 | Interspeech | The use of confidence measures in vector based call-routing. | Stephen J. Cox, Gavin C. Cawley |
| 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 |
| 2002 | ICANN | Error Functions for Prediction of Episodes of Poor Air Quality. | Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic |
| 2002 | ICASSP | Towards video realistic synthetic visual speech. | Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley |
| 2001 | BMVC | Towards a low bandwidth talking face using appearance models. | Barry-John Theobald, Gavin C. Cawley, Silko Kruse, J. Andrew Bangham |
| 2001 | ICASSP | Nonlinear modelling of air pollution time series. | Robert J. Foxall, Igor R. Krcmar, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic |
| 1998 | BMVC | The Segmentation of Images via Scale-Space Trees. | J. Andrew Bangham, Javier Ruiz Hidalgo, Richard W. Harvey, Gavin C. Cawley |
| 1997 | ICIP | A Fast Index Assignment Method for Robust Vector Quantization of Image Data. | Nicola L. C. Talbot, Gavin C. Cawley |
| 1997 | Interspeech | Speech coding and synthesis using parametric curves. | Luis Miguel Teixeira de Jesus, Gavin C. Cawley |
| 1996 | ICANN | Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom Using a Neural Network. | Gavin C. Cawley, Stephen R. Dorling |
| 1996 | Interspeech | An improved vector quantization algorithm for speech transmission over noisy channels. | Gavin C. Cawley |