Gavin C. Cawley

87 papers A 5B 25C 3Misc 2Journal 34Unranked 17

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Nested cross-validation when selecting classifiers is overzealous for most practical applications. Expert Syst. Appl. Jacques Wainer, Gavin C. Cawley
2021	J	`jnl`	The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. CoRR Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall
2020	J	`jnl`	Investigation of sequence features of hinge-bending regions in proteins with domain movements using kernel logistic regression. BMC Bioinform. Ruth Veevers, Gavin C. Cawley, Steven Hayward
2020	—	`conf`	The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. ECML/PKDD (1) Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall
2018	J	`jnl`	Is rotation forest the best classifier for problems with continuous features? CoRR Anthony J. Bagnall, Aaron Bostrom, Gavin C. Cawley, Michael Flynn, James Large, Jason Lines
2018	J	`jnl`	Nested cross-validation when selecting classifiers is overzealous for most practical applications. CoRR Jacques Wainer, Gavin C. Cawley
2017	J	`jnl`	Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters. J. Mach. Learn. Res. Jacques Wainer, Gavin C. Cawley
2017	J	`jnl`	On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms. CoRR Anthony J. Bagnall, Gavin C. Cawley
2017	—	`conf`	Over-Fitting in Model Selection with Gaussian Process Regression. MLDM Rekar O. Mohammed, Gavin C. Cawley
2015	B	`conf`	Benchmarking the semi-supervised naïve Bayes classifier. IJCNN Awat A. Saeed, Gavin C. Cawley, Anthony J. Bagnall
2015	B	`conf`	Design of the 2015 ChaLearn AutoML challenge. IJCNN 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
2014	J	`jnl`	Kernel learning at the first level of inference. Neural Networks Gavin C. Cawley, Nicola L. C. Talbot
2014	J	`jnl`	Quantitative method for the assignment of hinge and shear mechanism in protein domain movements. Bioinform. Daniel Taylor, Gavin C. Cawley, Steven Hayward
2012	B	`conf`	Over-Fitting in Model Selection and Its Avoidance. IDA Gavin C. Cawley
2011	—	`ed.`	Active Learning and Experimental Design workshop, In conjunction with AISTATS 2010, Sardinia, Italy, May 16, 2010 Active Learning and Experimental Design @ AISTATS Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire, Alexander R. Statnikov
2011	—	`conf`	Baseline Methods for Active Learning. Active Learning and Experimental Design @ AISTATS Gavin C. Cawley
2011	—	`conf`	Results of the Active Learning Challenge. Active Learning and Experimental Design @ AISTATS Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire
2011	B	`conf`	Sparse Bayesian prediction of disordered residues and disordered regions based on amino-acid composition. IJCNN Gavin C. Cawley, Steven Hayward, Gareth J. Janacek, Geoff R. Moore
2010	B	`conf`	Design and analysis of the WCCI 2010 active learning challenge. IJCNN Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire
2010	J	`jnl`	Model Selection: Beyond the Bayesian/Frequentist Divide. J. Mach. Learn. Res. Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley
2010	J	`jnl`	On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation. J. Mach. Learn. Res. Gavin C. Cawley, Nicola L. C. Talbot
2008	J	`jnl`	Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. Neural Networks Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley
2008	—	`conf`	Causal and Non-Causal Feature Selection for Ridge Regression. WCCI Causation and Prediction Challenge Gavin C. Cawley
2008	A	`conf`	Comparing text-driven and speech-driven visual speech synthesisers. INTERSPEECH Barry-John Theobald, Gavin C. Cawley, J. Andrew Bangham, Iain A. Matthews, Nicholas Wilkinson
2007	B	`conf`	Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. IJCNN Gavin C. Cawley, Nicola L. C. Talbot
2007	B	`conf`	Agnostic Learning vs. Prior Knowledge Challenge. IJCNN Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley
2007	J	`jnl`	An Empirical Evaluation of the Fuzzy Kernel Perceptron. IEEE Trans. Neural Networks Gavin C. Cawley
2007	B	`conf`	Generalised Kernel Machines. IJCNN Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot
2007	B	`conf`	Model Selection for Kernel Probit Regression. ESANN Gavin C. Cawley
2007	J	`jnl`	Optimally regularised kernel Fisher discriminant classification. Neural Networks Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley
2007	J	`jnl`	Predictive uncertainty in environmental modelling. Neural Networks Gavin C. Cawley, Gareth J. Janacek, Malcolm R. Haylock, Stephen R. Dorling
2007	J	`jnl`	Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. J. Mach. Learn. Res. Gavin C. Cawley, Nicola L. C. Talbot
2007	J	`jnl`	Super Computer Heterogeneous Classifier Meta-Ensembles. Int. J. Data Warehous. Min. Anthony J. Bagnall, Gavin C. Cawley, Ian M. Whittley, Larry Bull, Matthew Studley, Mike Pettipher, Firat Tekiner
2006	J	`jnl`	Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. Bioinform. Gavin C. Cawley, Nicola L. C. Talbot
2006	B	`conf`	Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs. IJCNN Gavin C. Cawley
2006	J	`jnl`	New Issues in Neurocomputing. Neurocomputing Jochen J. Steil, Gavin C. Cawley, Fabrice Rossi
2006	B	`conf`	Predictive Uncertainty in Environmental Modelling. IJCNN Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling
2006	—	`conf`	Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS Gavin C. Cawley, Nicola L. C. Talbot, Mark A. Girolami
2006	J	`jnl`	Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens. IEEE Trans. Neural Networks Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Mike W. Peck
2006	J	`jnl`	Statistical models to assess the health effects and to forecast ground-level ozone. Environ. Model. Softw. Uwe Schlink, Olf Herbarth, Matthias Richter, Stephen R. Dorling, Giuseppe Nunnari, Gavin C. Cawley, Emil Pelikán
2005	B	`conf`	A simple trick for constructing Bayesian formulations of sparse kernel learning methods. IJCNN Gavin C. Cawley, Nicola L. C. Talbot
2005	J	`jnl`	Constructing Bayesian formulations of sparse kernel learning methods. Neural Networks Gavin C. Cawley, Nicola L. C. Talbot
2005	—	`conf`	Estimating Predictive Variances with Kernel Ridge Regression. MLCW Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle
2005	B	`conf`	Predicting sugar regulation in Arabidopsis thaliana using kernel learning methods. IJCNN Kamel Saadi, Kee Khoon Lee, Gavin C. Cawley, Michael W. Bevan
2005	B	`conf`	Sparse Bayesian learning and the relevance multi-layer perceptron network. IJCNN Gavin C. Cawley, Nicola L. C. Talbot
2005	J	`jnl`	The evidence framework applied to sparse kernel logistic regression. Neurocomputing Gavin C. Cawley, Nicola L. C. Talbot
2005	J	`jnl`	Trends in Neurocomputing at ESANN 2004. Neurocomputing Jochen J. Steil, Gavin C. Cawley, Thomas Villmann
2005	B	`conf`	sparse Bayesian promoter based gene classification. ESANN Kee Khoon Lee, Gavin C. Cawley, Michael W. Bevan
2004	—	`conf`	Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. Deterministic and Statistical Methods in Machine Learning Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael W. Peck
2004	—	`conf`	Efficient Model Selection for Kernel Logistic Regression. ICPR (2) Gavin C. Cawley, Nicola L. C. Talbot
2004	J	`jnl`	Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks Gavin C. Cawley, Nicola L. C. Talbot
2004	J	`jnl`	Heteroscedastic kernel ridge regression. Neurocomputing Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic
2004	J	`jnl`	Modelling SO Environ. Model. Softw. Giuseppe Nunnari, Stephen R. Dorling, Uwe Schlink, Gavin C. Cawley, Robert J. Foxall, Tim J. Chatterton
2004	J	`jnl`	Near-videorealistic synthetic talking faces: implementation and evaluation. Speech Commun. Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley
2004	—	`conf`	Optimally Regularised Kernel Fisher Discriminant Analysis. ICPR (2) Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley
2004	B	`conf`	Sparse Bayesian kernel logistic regression. ESANN Gavin C. Cawley, Nicola L. C. Talbot
2003	A	`conf`	2.5D Visual Speech Synthesis Using Appearance Models. BMVC Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, John R. W. Glauert, Gavin C. Cawley
2003	B	`conf`	Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. ESANN Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic
2003	B	`conf`	Efficient cross-validation of kernel fisher discriminant classifiers. ESANN Gavin C. Cawley, Nicola L. C. Talbot
2003	J	`jnl`	Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers. Pattern Recognit. Gavin C. Cawley, Nicola L. C. Talbot
2003	—	`conf`	Evaluation of a talking head based on appearance models. AVSP Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley
2003	B	`conf`	Interpretation of geophysical surveys of archaeological sites using artificial neural networks. IJCNN David J. Bescoby, Gavin C. Cawley, P. Neil Chroston
2003	B	`conf`	Learning classifier systems for data mining: a comparison of XCS with other classifiers for the Forest Cover data set. IJCNN Anthony J. Bagnall, Gavin C. Cawley
2003	B	`conf`	Modelling the growth domain of Clostridium botulinum via kernel survival analysis. IJCNN Robert J. Foxall, Gavin C. Cawley, Michael W. Peck
2003	—	`conf`	Near-videorealistic synthetic visual speech using non-rigid appearance models. ICASSP (5) Barry-John Theobald, Gavin C. Cawley, Iain A. Matthews, J. Andrew Bangham
2003	B	`conf`	Statistical downscaling with artificial neural networks. ESANN Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling, Clare Goodess, Phil D. Jones
2003	A	`conf`	The use of confidence measures in vector based call-routing. INTERSPEECH Stephen J. Cox, Gavin C. Cawley
2003	J	`jnl`	Towards a low bandwidth talking face using appearance models. Image Vis. Comput. Barry-John Theobald, Silko Kruse, J. Andrew Bangham, Gavin C. Cawley
2002	C	`conf`	A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. ICANN Gavin C. Cawley, Nicola L. C. Talbot
2002	B	`conf`	Efficient formation of a basis in a kernel induced feature space. ESANN Gavin C. Cawley, Nicola L. C. Talbot
2002	C	`conf`	Error Functions for Prediction of Episodes of Poor Air Quality. ICANN Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic
2002	B	`conf`	Fast exact leave-one-out cross-validation of least-squares Support Vector Machines. ESANN Kamel Saadi, Gavin C. Cawley, Nicola L. C. Talbot
2002	B	`conf`	Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. ESANN Robert J. Foxall, Gavin C. Cawley, Nicola L. C. Talbot, Stephen R. Dorling, Danilo P. Mandic
2002	J	`jnl`	Improved sparse least-squares support vector machines. Neurocomputing Gavin C. Cawley, Nicola L. C. Talbot
2002	—	`conf`	Non-retrieval: Blocking Pornographic Images. CIVR Alison Bosson, Gavin C. Cawley, Yi Chan, Richard W. Harvey
2002	J	`jnl`	Reduced Rank Kernel Ridge Regression. Neural Process. Lett. Gavin C. Cawley, Nicola L. C. Talbot
2002	Misc	`conf`	Towards video realistic synthetic visual speech. ICASSP Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley
2001	Misc	`conf`	Nonlinear modelling of air pollution time series. ICASSP Robert J. Foxall, Igor R. Krcmar, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic
2001	J	`jnl`	Simplified implementation of the recursive median sieve. Signal Process. Olli Yli-Harja, Pertti Koivisto, J. Andrew Bangham, Gavin C. Cawley, Richard W. Harvey, Ilya Shmulevich
2001	A	`conf`	Towards a low bandwidth talking face using appearance models. BMVC Barry-John Theobald, Gavin C. Cawley, Silko Kruse, J. Andrew Bangham
2001	—	`conf`	Visual speech synthesis using statistical models of shape and appearance. AVSP Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley
2000	J	`jnl`	On a Fast, Compact Approximation of the Exponential Function. Neural Comput. Gavin C. Cawley
1998	A	`conf`	The Segmentation of Images via Scale-Space Trees. BMVC J. Andrew Bangham, Javier Ruiz Hidalgo, Richard W. Harvey, Gavin C. Cawley
1997	—	`conf`	A Fast Index Assignment Method for Robust Vector Quantization of Image Data. ICIP (3) Nicola L. C. Talbot, Gavin C. Cawley
1997	—	`conf`	Speech coding and synthesis using parametric curves. EUROSPEECH Luis Miguel Teixeira de Jesus, Gavin C. Cawley
1996	—	`conf`	An improved vector quantization algorithm for speech transmission over noisy channels. ICSLP Gavin C. Cawley
1996	C	`conf`	Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom Using a Neural Network. ICANN Gavin C. Cawley, Stephen R. Dorling