Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom Using a Neural Network. - Gavin C. Cawley; Stephen R. Dorling (ICANN, 1996)

An improved vector quantization algorithm for speech transmission over noisy channels. - Gavin C. Cawley (ICSLP, 1996)

A Fast Index Assignment Method for Robust Vector Quantization of Image Data. - Nicola L. C. Talbot; Gavin C. Cawley (ICIP (3), 1997)

Speech coding and synthesis using parametric curves. - Luis Miguel Teixeira de Jesus; Gavin C. Cawley (EUROSPEECH, 1997)

The Segmentation of Images via Scale-Space Trees. - J. Andrew Bangham; Javier Ruiz Hidalgo; Richard W. Harvey; Gavin C. Cawley (BMVC, 1998)

On a Fast, Compact Approximation of the Exponential Function. - Gavin C. Cawley (Neural Comput., 2000)

Visual speech synthesis using statistical models of shape and appearance. - Barry-John Theobald; J. Andrew Bangham; Iain A. Matthews; Gavin C. Cawley (AVSP, 2001)

Nonlinear modelling of air pollution time series. - Robert J. Foxall; Igor R. Krcmar; Gavin C. Cawley; Stephen R. Dorling; Danilo P. Mandic (ICASSP, 2001)

Simplified implementation of the recursive median sieve. - Olli Yli-Harja; Pertti Koivisto; J. Andrew Bangham; Gavin C. Cawley; Richard W. Harvey; Ilya Shmulevich (Signal Process., 2001)

Non-retrieval: Blocking Pornographic Images. - Alison Bosson; Gavin C. Cawley; Yi Chan; Richard W. Harvey (CIVR, 2002)

Efficient formation of a basis in a kernel induced feature space. - Gavin C. Cawley; Nicola L. C. Talbot (ESANN, 2002)

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 (ESANN, 2002)

Fast exact leave-one-out cross-validation of least-squares Support Vector Machines. - Kamel Saadi; Gavin C. Cawley; Nicola L. C. Talbot (ESANN, 2002)

A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. - Gavin C. Cawley; Nicola L. C. Talbot (ICANN, 2002)

Error Functions for Prediction of Episodes of Poor Air Quality. - Robert J. Foxall; Gavin C. Cawley; Stephen R. Dorling; Danilo P. Mandic (ICANN, 2002)

Towards video realistic synthetic visual speech. - Barry-John Theobald; J. Andrew Bangham; Iain A. Matthews; Gavin C. Cawley (ICASSP, 2002)

Improved sparse least-squares support vector machines. - Gavin C. Cawley; Nicola L. C. Talbot (Neurocomputing, 2002)

Reduced Rank Kernel Ridge Regression. - Gavin C. Cawley; Nicola L. C. Talbot (Neural Process. Lett., 2002)

Evaluation of a talking head based on appearance models. - Barry-John Theobald; J. Andrew Bangham; Iain A. Matthews; Gavin C. Cawley (AVSP, 2003)

2.5D Visual Speech Synthesis Using Appearance Models. - Barry-John Theobald; J. Andrew Bangham; Iain A. Matthews; John R. W. Glauert; Gavin C. Cawley (BMVC, 2003)

Statistical downscaling with artificial neural networks. - Gavin C. Cawley; Malcolm R. Haylock; Stephen R. Dorling; Clare Goodess; Phil D. Jones (ESANN, 2003)

Efficient cross-validation of kernel fisher discriminant classifiers. - Gavin C. Cawley; Nicola L. C. Talbot (ESANN, 2003)

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 (ESANN, 2003)

Near-videorealistic synthetic visual speech using non-rigid appearance models. - Barry-John Theobald; Gavin C. Cawley; Iain A. Matthews; J. Andrew Bangham (ICASSP (5), 2003)

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 (IJCNN, 2003)

Interpretation of geophysical surveys of archaeological sites using artificial neural networks. - David J. Bescoby; Gavin C. Cawley; P. Neil Chroston (IJCNN, 2003)

Modelling the growth domain of Clostridium botulinum via kernel survival analysis. - Robert J. Foxall; Gavin C. Cawley; Michael W. Peck (IJCNN, 2003)

The use of confidence measures in vector based call-routing. - Stephen J. Cox; Gavin C. Cawley (INTERSPEECH, 2003)

Towards a low bandwidth talking face using appearance models. - Barry-John Theobald; Silko Kruse; J. Andrew Bangham; Gavin C. Cawley (Image Vis. Comput., 2003)

Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers. - Gavin C. Cawley; Nicola L. C. Talbot (Pattern Recognit., 2003)

Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. - Gavin C. Cawley; Nicola L. C. Talbot; Gareth J. Janacek; Michael W. Peck (Deterministic and Statistical Methods in Machine Learning, 2004)

Sparse Bayesian kernel logistic regression. - Gavin C. Cawley; Nicola L. C. Talbot (ESANN, 2004)

Efficient Model Selection for Kernel Logistic Regression. - Gavin C. Cawley; Nicola L. C. Talbot (ICPR (2), 2004)

Optimally Regularised Kernel Fisher Discriminant Analysis. - Kamel Saadi; Nicola L. C. Talbot; Gavin C. Cawley (ICPR (2), 2004)

Modelling SO2 concentration at a point with statistical approaches. - Giuseppe Nunnari; Stephen R. Dorling; Uwe Schlink; Gavin C. Cawley; Robert J. Foxall; Tim J. Chatterton (Environ. Model. Softw., 2004)

Heteroscedastic kernel ridge regression. - Gavin C. Cawley; Nicola L. C. Talbot; Robert J. Foxall; Stephen R. Dorling; Danilo P. Mandic (Neurocomputing, 2004)

Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. - Gavin C. Cawley; Nicola L. C. Talbot (Neural Networks, 2004)

Near-videorealistic synthetic talking faces: implementation and evaluation. - Barry-John Theobald; J. Andrew Bangham; Iain A. Matthews; Gavin C. Cawley (Speech Commun., 2004)

sparse Bayesian promoter based gene classification. - Kee Khoon Lee; Gavin C. Cawley; Michael W. Bevan (ESANN, 2005)

Sparse Bayesian learning and the relevance multi-layer perceptron network. - Gavin C. Cawley; Nicola L. C. Talbot (IJCNN, 2005)

A simple trick for constructing Bayesian formulations of sparse kernel learning methods. - Gavin C. Cawley; Nicola L. C. Talbot (IJCNN, 2005)

Predicting sugar regulation in Arabidopsis thaliana using kernel learning methods. - Kamel Saadi; Kee Khoon Lee; Gavin C. Cawley; Michael W. Bevan (IJCNN, 2005)

Estimating Predictive Variances with Kernel Ridge Regression. - Gavin C. Cawley; Nicola L. C. Talbot; Olivier Chapelle (MLCW, 2005)

The evidence framework applied to sparse kernel logistic regression. - Gavin C. Cawley; Nicola L. C. Talbot (Neurocomputing, 2005)

Trends in Neurocomputing at ESANN 2004. - Jochen J. Steil; Gavin C. Cawley; Thomas Villmann (Neurocomputing, 2005)

Constructing Bayesian formulations of sparse kernel learning methods. - Gavin C. Cawley; Nicola L. C. Talbot (Neural Networks, 2005)

Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs. - Gavin C. Cawley (IJCNN, 2006)

Predictive Uncertainty in Environmental Modelling. - Gavin C. Cawley; Malcolm R. Haylock; Stephen R. Dorling (IJCNN, 2006)

Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. - Gavin C. Cawley; Nicola L. C. Talbot; Mark A. Girolami (NIPS, 2006)

Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. - Gavin C. Cawley; Nicola L. C. Talbot (Bioinform., 2006)

Statistical models to assess the health effects and to forecast ground-level ozone. - Uwe Schlink; Olf Herbarth; Matthias Richter; Stephen R. Dorling; Giuseppe Nunnari; Gavin C. Cawley; Emil Pelikán (Environ. Model. Softw., 2006)

New Issues in Neurocomputing. - Jochen J. Steil; Gavin C. Cawley; Fabrice Rossi (Neurocomputing, 2006)

Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens. - Gavin C. Cawley; Nicola L. C. Talbot; Gareth J. Janacek; Mike W. Peck (IEEE Trans. Neural Networks, 2006)

Model Selection for Kernel Probit Regression. - Gavin C. Cawley (ESANN, 2007)

Generalised Kernel Machines. - Gavin C. Cawley; Gareth J. Janacek; Nicola L. C. Talbot (IJCNN, 2007)

Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. - Gavin C. Cawley; Nicola L. C. Talbot (IJCNN, 2007)

Agnostic Learning vs. Prior Knowledge Challenge. - Isabelle Guyon; Amir Saffari; Gideon Dror; Gavin C. Cawley (IJCNN, 2007)

Super Computer Heterogeneous Classifier Meta-Ensembles. - Anthony J. Bagnall; Gavin C. Cawley; Ian M. Whittley; Larry Bull; Matthew Studley; Mike Pettipher; Firat Tekiner (Int. J. Data Warehous. Min., 2007)

Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. - Gavin C. Cawley; Nicola L. C. Talbot (J. Mach. Learn. Res., 2007)

Predictive uncertainty in environmental modelling. - Gavin C. Cawley; Gareth J. Janacek; Malcolm R. Haylock; Stephen R. Dorling (Neural Networks, 2007)

Optimally regularised kernel Fisher discriminant classification. - Kamel Saadi; Nicola L. C. Talbot; Gavin C. Cawley (Neural Networks, 2007)

An Empirical Evaluation of the Fuzzy Kernel Perceptron. - Gavin C. Cawley (IEEE Trans. Neural Networks, 2007)

Comparing text-driven and speech-driven visual speech synthesisers. - Barry-John Theobald; Gavin C. Cawley; J. Andrew Bangham; Iain A. Matthews; Nicholas Wilkinson (INTERSPEECH, 2008)

Causal and Non-Causal Feature Selection for Ridge Regression. - Gavin C. Cawley (WCCI Causation and Prediction Challenge, 2008)

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. - Isabelle Guyon; Amir Saffari; Gideon Dror; Gavin C. Cawley (Neural Networks, 2008)

Design and analysis of the WCCI 2010 active learning challenge. - Isabelle Guyon; Gavin C. Cawley; Gideon Dror; Vincent Lemaire 001 (IJCNN, 2010)

On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation. - Gavin C. Cawley; Nicola L. C. Talbot (J. Mach. Learn. Res., 2010)

Model Selection: Beyond the Bayesian/Frequentist Divide. - Isabelle Guyon; Amir Saffari; Gideon Dror; Gavin C. Cawley (J. Mach. Learn. Res., 2010)

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 (IJCNN, 2011)

Baseline Methods for Active Learning. - Gavin C. Cawley (Active Learning and Experimental Design @ AISTATS, 2011)

Results of the Active Learning Challenge. - Isabelle Guyon; Gavin C. Cawley; Gideon Dror; Vincent Lemaire 001 (Active Learning and Experimental Design @ AISTATS, 2011)

Over-Fitting in Model Selection and Its Avoidance. - Gavin C. Cawley (IDA, 2012)

Quantitative method for the assignment of hinge and shear mechanism in protein domain movements. - Daniel Taylor 001; Gavin C. Cawley; Steven Hayward (Bioinform., 2014)

Kernel learning at the first level of inference. - Gavin C. Cawley; Nicola L. C. Talbot (Neural Networks, 2014)

Design of the 2015 ChaLearn AutoML challenge. - Isabelle Guyon; Kristin P. Bennett; Gavin C. Cawley; Hugo Jair Escalante; Sergio Escalera; Tin Kam Ho; Núria Macià; Bisakha Ray; Mehreen Saeed; Alexander R. Statnikov; Evelyne Viegas (IJCNN, 2015)

Benchmarking the semi-supervised naïve Bayes classifier. - Awat A. Saeed; Gavin C. Cawley; Anthony J. Bagnall (IJCNN, 2015)

Over-Fitting in Model Selection with Gaussian Process Regression. - Rekar O. Mohammed; Gavin C. Cawley (MLDM, 2017)

On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms. - Anthony J. Bagnall; Gavin C. Cawley (CoRR, 2017)

Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters. - Jacques Wainer; Gavin C. Cawley (J. Mach. Learn. Res., 2017)

Is rotation forest the best classifier for problems with continuous features? - Anthony J. Bagnall; Aaron Bostrom; Gavin C. Cawley; Michael Flynn; James Large; Jason Lines (CoRR, 2018)

The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. - Matthew Middlehurst; James Large; Gavin C. Cawley; Anthony J. Bagnall (ECML/PKDD (1), 2020)

Investigation of sequence features of hinge-bending regions in proteins with domain movements using kernel logistic regression. - Ruth Veevers; Gavin C. Cawley; Steven Hayward (BMC Bioinform., 2020)

Nested cross-validation when selecting classifiers is overzealous for most practical applications. - Jacques Wainer; Gavin C. Cawley (Expert Syst. Appl., 2021)