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ORCIDGavin C. Cawley
- > Home > Persons > Gavin C. Cawley
Publications
- 2021
[i4]Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall:
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. CoRR abs/2105.03841 (2021)- 2020
- [j29]Ruth Veevers, Gavin C. Cawley, Steven Hayward
:
Investigation of sequence features of hinge-bending regions in proteins with domain movements using kernel logistic regression. BMC Bioinform. 21(1): 137 (2020) - [c46]Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall:
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. ECML/PKDD (1) 2020: 660-676 - 2018
- [i3]Anthony J. Bagnall, Aaron Bostrom, Gavin C. Cawley, Michael Flynn, James Large, Jason Lines:
Is rotation forest the best classifier for problems with continuous features? CoRR abs/1809.06705 (2018) - 2017
- [i1]Anthony J. Bagnall, Gavin C. Cawley:
On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms. CoRR abs/1703.06777 (2017) - 2015
- [c44]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:
Design of the 2015 ChaLearn AutoML challenge. IJCNN 2015: 1-8 - [c43]Awat A. Saeed, Gavin C. Cawley, Anthony J. Bagnall:
Benchmarking the semi-supervised naïve Bayes classifier. IJCNN 2015: 1-8 - 2014
- [j27]Daniel Taylor, Gavin C. Cawley, Steven Hayward:
Quantitative method for the assignment of hinge and shear mechanism in protein domain movements. Bioinform. 30(22): 3189-3196 (2014) - [j26]Gavin C. Cawley, Nicola L. C. Talbot:
Kernel learning at the first level of inference. Neural Networks 53: 69-80 (2014) - 2011
- [c41]Gavin C. Cawley, Steven Hayward, Gareth J. Janacek, Geoff R. Moore:
Sparse Bayesian prediction of disordered residues and disordered regions based on amino-acid composition. IJCNN 2011: 1618-1623 - [c40]Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire:
Results of the Active Learning Challenge. Active Learning and Experimental Design @ AISTATS 2011: 19-45 - [e1]Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire, Alexander R. Statnikov:
Active Learning and Experimental Design workshop, In conjunction with AISTATS 2010, Sardinia, Italy, May 16, 2010. JMLR Proceedings 16, JMLR.org 2011 [contents] - 2010
- [j25]Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
Model Selection: Beyond the Bayesian/Frequentist Divide. J. Mach. Learn. Res. 11: 61-87 (2010) - [j24]Gavin C. Cawley, Nicola L. C. Talbot:
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation. J. Mach. Learn. Res. 11: 2079-2107 (2010) - [c38]Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire:
Design and analysis of the WCCI 2010 active learning challenge. IJCNN 2010: 1-8 - 2008
- [j23]Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. Neural Networks 21(2-3): 544-550 (2008) - [c37]Barry-John Theobald, Gavin C. Cawley, J. Andrew Bangham, Iain A. Matthews, Nicholas Wilkinson:
Comparing text-driven and speech-driven visual speech synthesisers. INTERSPEECH 2008: 2322 - 2007
- [j22]Anthony J. Bagnall, Gavin C. Cawley, Ian M. Whittley, Larry Bull, Matthew Studley, Mike Pettipher, Firat Tekiner:
Super Computer Heterogeneous Classifier Meta-Ensembles. Int. J. Data Warehous. Min. 3(2): 67-82 (2007) - [j21]Gavin C. Cawley, Nicola L. C. Talbot:
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. J. Mach. Learn. Res. 8: 841-861 (2007) - [j20]Gavin C. Cawley, Gareth J. Janacek, Malcolm R. Haylock, Stephen R. Dorling:
Predictive uncertainty in environmental modelling. Neural Networks 20(4): 537-549 (2007) - [j19]Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley:
Optimally regularised kernel Fisher discriminant classification. Neural Networks 20(7): 832-841 (2007) - [c34]Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
Agnostic Learning vs. Prior Knowledge Challenge. IJCNN 2007: 829-834 - [c33]Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot:
Generalised Kernel Machines. IJCNN 2007: 1720-1725 - [c32]Gavin C. Cawley, Nicola L. C. Talbot:
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. IJCNN 2007: 1732-1737 - 2006
- [j17]Gavin C. Cawley, Nicola L. C. Talbot:
Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. Bioinform. 22(19): 2348-2355 (2006) - [j16]Uwe Schlink, Olf Herbarth, Matthias Richter, Stephen R. Dorling, Giuseppe Nunnari, Gavin C. Cawley, Emil Pelikán:
Statistical models to assess the health effects and to forecast ground-level ozone. Environ. Model. Softw. 21(4): 547-558 (2006) - [j14]Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Mike W. Peck:
Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens. IEEE Trans. Neural Networks 17(2): 471-481 (2006) - [c30]Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling:
Predictive Uncertainty in Environmental Modelling. IJCNN 2006: 5347-5354 - [c29]Gavin C. Cawley, Nicola L. C. Talbot, Mark A. Girolami:
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS 2006: 209-216 - 2005
- [j12]Gavin C. Cawley, Nicola L. C. Talbot:
The evidence framework applied to sparse kernel logistic regression. Neurocomputing 64: 119-135 (2005) - [j11]Gavin C. Cawley, Nicola L. C. Talbot:
Constructing Bayesian formulations of sparse kernel learning methods. Neural Networks 18(5-6): 674-683 (2005) - [c27]Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle:
Estimating Predictive Variances with Kernel Ridge Regression. MLCW 2005: 56-77 - 2004
- [j10]Giuseppe Nunnari, Stephen R. Dorling, Uwe Schlink, Gavin C. Cawley, Robert J. Foxall, Tim J. Chatterton:
Modelling SO2 concentration at a point with statistical approaches. Environ. Model. Softw. 19(10): 887-905 (2004) - [j9]Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic:
Heteroscedastic kernel ridge regression. Neurocomputing 57: 105-124 (2004) - [j8]Gavin C. Cawley, Nicola L. C. Talbot:
Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks 17(10): 1467-1475 (2004) - [j7]Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley:
Near-videorealistic synthetic talking faces: implementation and evaluation. Speech Commun. 44(1-4): 127-140 (2004) - [c26]Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael W. Peck:
Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. Deterministic and Statistical Methods in Machine Learning 2004: 37-55 - [c25]Gavin C. Cawley, Nicola L. C. Talbot:
Sparse Bayesian kernel logistic regression. ESANN 2004: 133-138 - [c24]Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley:
Optimally Regularised Kernel Fisher Discriminant Analysis. ICPR (2) 2004: 427-430 - [c23]Gavin C. Cawley, Nicola L. C. Talbot:
Efficient Model Selection for Kernel Logistic Regression. ICPR (2) 2004: 439-442 - 2003
- [j6]Barry-John Theobald, Silko Kruse, J. Andrew Bangham, Gavin C. Cawley:
Towards a low bandwidth talking face using appearance models. Image Vis. Comput. 21(13-14): 1117-1124 (2003) - [j5]Gavin C. Cawley, Nicola L. C. Talbot:
Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers. Pattern Recognit. 36(11): 2585-2592 (2003) - [c22]Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley:
Evaluation of a talking head based on appearance models. AVSP 2003: 187-192 - [c21]Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, John R. W. Glauert, Gavin C. Cawley:
2.5D Visual Speech Synthesis Using Appearance Models. BMVC 2003: 1-10 - [c20]Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling, Clare Goodess, Phil D. Jones:
Statistical downscaling with artificial neural networks. ESANN 2003: 167-172 - [c19]Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic:
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. ESANN 2003: 209-214 - [c18]Gavin C. Cawley, Nicola L. C. Talbot:
Efficient cross-validation of kernel fisher discriminant classifiers. ESANN 2003: 241-246 - [c17]Barry-John Theobald, Gavin C. Cawley, Iain A. Matthews, J. Andrew Bangham:
Near-videorealistic synthetic visual speech using non-rigid appearance models. ICASSP (5) 2003: 800-803 - [c16]Stephen J. Cox, Gavin C. Cawley:
The use of confidence measures in vector based call-routing. INTERSPEECH 2003: 633-636 - 2002
- [j4]Gavin C. Cawley, Nicola L. C. Talbot:
Improved sparse least-squares support vector machines. Neurocomputing 48(1-4): 1025-1031 (2002) - [j3]Gavin C. Cawley, Nicola L. C. Talbot:
Reduced Rank Kernel Ridge Regression. Neural Process. Lett. 16(3): 293-302 (2002) - [c15]Alison Bosson, Gavin C. Cawley, Yi Chan, Richard W. Harvey:
Non-retrieval: Blocking Pornographic Images. CIVR 2002: 50-60 - [c14]Gavin C. Cawley, Nicola L. C. Talbot:
Efficient formation of a basis in a kernel induced feature space. ESANN 2002: 1-6 - [c13]Robert J. Foxall, Gavin C. Cawley, Nicola L. C. Talbot, Stephen R. Dorling, Danilo P. Mandic:
Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. ESANN 2002: 19-24 - [c12]Kamel Saadi, Gavin C. Cawley, Nicola L. C. Talbot:
Fast exact leave-one-out cross-validation of least-squares Support Vector Machines. ESANN 2002: 149-154 - [c11]Gavin C. Cawley, Nicola L. C. Talbot:
A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. ICANN 2002: 681-686 - [c10]Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic:
Error Functions for Prediction of Episodes of Poor Air Quality. ICANN 2002: 1031-1036 - [c9]Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley:
Towards video realistic synthetic visual speech. ICASSP 2002: 3892-3895 - 2001
- [j2]Olli Yli-Harja, Pertti Koivisto, J. Andrew Bangham, Gavin C. Cawley, Richard W. Harvey, Ilya Shmulevich:
Simplified implementation of the recursive median sieve. Signal Process. 81(7): 1565-1570 (2001) - [c8]Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley:
Visual speech synthesis using statistical models of shape and appearance. AVSP 2001: 78-83 - [c7]Barry-John Theobald, Gavin C. Cawley, Silko Kruse, J. Andrew Bangham:
Towards a low bandwidth talking face using appearance models. BMVC 2001: 1-10 - [c6]Robert J. Foxall, Igor R. Krcmar, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic:
Nonlinear modelling of air pollution time series. ICASSP 2001: 3505-3508 - 1998
- [c5]J. Andrew Bangham, Javier Ruiz Hidalgo, Richard W. Harvey, Gavin C. Cawley:
The Segmentation of Images via Scale-Space Trees. BMVC 1998: 1-11 - 1997
- [c4]Nicola L. C. Talbot, Gavin C. Cawley:
A Fast Index Assignment Method for Robust Vector Quantization of Image Data. ICIP (3) 1997: 674-677 - 1996
- [c2]Gavin C. Cawley, Stephen R. Dorling:
Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom Using a Neural Network. ICANN 1996: 281-286
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