School of Computing Sciences, University of East Anglia
List of publications from the DBLP Bibliography Server - FAQ
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 | 2012 | |
|---|---|---|
| c35 |      | |
| 2011 | ||
| j28 | | Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire: Results of the Active Learning Challenge. Journal of Machine Learning Research - Proceedings Track 16: 19-45 (2011) |
| j27 | | Gavin C. Cawley: Baseline Methods for Active Learning. Journal of Machine Learning Research - Proceedings Track 16: 47-57 (2011) |
| c34 | | 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 |
| 2010 | ||
| j26 | | Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley: Model Selection: Beyond the Bayesian/Frequentist Divide. Journal of Machine Learning Research 11: 61-87 (2010) |
| j25 | | Gavin C. Cawley, Nicola L. C. Talbot: On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation. Journal of Machine Learning Research 11: 2079-2107 (2010) |
| c33 | | Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire: Design and analysis of the WCCI 2010 active learning challenge. IJCNN 2010: 1-8 |
| 2008 | ||
| j24 | | Gavin C. Cawley: Causal and Non-Causal Feature Selection for Ridge Regression. Journal of Machine Learning Research - Proceedings Track 3: 107-128 (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) |
| c32 | | Barry-John Theobald, Gavin C. Cawley, J. Andrew Bangham, Iain Matthews, Nicholas Wilkinson: Comparing text-driven and speech-driven visual speech synthesisers. INTERSPEECH 2008: 2322 |
| 2007 | ||
| j22 | | Anthony J. Bagnall, Gavin C. Cawley, Ian Whittley, Larry Bull, Matthew Studley, Mike Pettipher, Firat Tekiner: Super Computer Heterogeneous Classifier Meta-Ensembles. IJDWM 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. Journal of Machine Learning Research 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) |
| j18 | | Gavin C. Cawley: An Empirical Evaluation of the Fuzzy Kernel Perceptron. IEEE Transactions on Neural Networks 18(3): 935-937 (2007) |
| c31 | | |
| c30 | | Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley: Agnostic Learning vs. Prior Knowledge Challenge. IJCNN 2007: 829-834 |
| c29 | | Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot: Generalised Kernel Machines. IJCNN 2007: 1720-1725 |
| c28 | | 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. Bioinformatics 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. Environmental Modelling and Software 21(4): 547-558 (2006) |
| j15 | | Jochen J. Steil, Gavin C. Cawley, Fabrice Rossi: New Issues in Neurocomputing. Neurocomputing 69(7-9): 625-626 (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 Transactions on Neural Networks 17(2): 471-481 (2006) |
| c27 | | Gavin C. Cawley: Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs. IJCNN 2006: 1661-1668 |
| c26 | | Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling: Predictive Uncertainty in Environmental Modelling. IJCNN 2006: 5347-5354 |
| c25 | | Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami: Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS 2006: 209-216 |
| 2005 | ||
| j13 | | Jochen J. Steil, Gavin C. Cawley, Thomas Villmann: Trends in Neurocomputing at ESANN 2004. Neurocomputing 64: 1-4 (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) |
| c24 | | Kee Khoon Lee, Gavin C. Cawley, Michael W. Bevan: sparse Bayesian promoter based gene classification. ESANN 2005: 527-532 |
| c23 | | 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 Chatterton: Modelling SO2 concentration at a point with statistical approaches. Environmental Modelling and Software 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 Communication 44(1-4): 127-140 (2004) |
| c22 | | Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael Peck: Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. Deterministic and Statistical Methods in Machine Learning 2004: 37-55 |
| c21 | | Gavin C. Cawley, Nicola L. C. Talbot: Sparse Bayesian kernel logistic regression. ESANN 2004: 133-138 |
| c20 | | Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley: Optimally Regularised Kernel Fisher Discriminant Analysis. ICPR (2) 2004: 427-430 |
| c19 | | 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 Vision 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 Recognition 36(11): 2585-2592 (2003) |
| c18 | | Barry-John Theobald, J. Andrew Bangham, Iain Matthews, John R. W. Glauert, Gavin C. Cawley: 2.5D Visual Speech Synthesis Using Appearance Models. BMVC 2003: 1-10 |
| c17 | | Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling, Clare Goodess, Phil D. Jones: Statistical downscaling with artificial neural networks. ESANN 2003: 167-172 |
| c16 | | 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 |
| c15 | | Gavin C. Cawley, Nicola L. C. Talbot: Efficient cross-validation of kernel fisher discriminant classifiers. ESANN 2003: 241-246 |
| c14 | | Stephen J. Cox, Gavin C. Cawley: The use of confidence measures in vector based call-routing. INTERSPEECH 2003 |
| 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 Processing Letters 16(3): 293-302 (2002) |
| c13 | | Alison Bosson, Gavin C. Cawley, Yi Chan, Richard Harvey: Non-retrieval: Blocking Pornographic Images. CIVR 2002: 50-60 |
| c12 |  | Gavin C. Cawley, Nicola L. C. Talbot: Efficient formation of a basis in a kernel induced feature space. ESANN 2002: 1-6 |
| c11 | | 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 |
| c10 | | 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 |
| c9 | | Gavin C. Cawley, Nicola L. C. Talbot: A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. ICANN 2002: 681-686 |
| c8 | | 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 |
| c7 | | 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 Harvey, Ilya Shmulevich: Simplified implementation of the recursive median sieve. Signal Processing 81(7): 1565-1570 (2001) |
| c6 | | Barry-John Theobald, Gavin C. Cawley, Silko Kruse, J. Andrew Bangham: Towards a low bandwidth talking face using appearance models. BMVC 2001: 1-10 |
| 2000 | ||
| j1 | | Gavin C. Cawley: On a Fast, Compact Approximation of the Exponential Function. Neural Computation 12(9): 2009-2012 (2000) |
| 1998 | ||
| c5 | | J. Andrew Bangham, J. R. Hidalgo, Richard 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 |
| c3 | | Luis Miguel Teixeira de Jesus, Gavin C. Cawley: Speech coding and synthesis using parametric curves. EUROSPEECH 1997 |
| 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 |
| c1 | | Gavin C. Cawley: An improved vector quantization algorithm for speech transmission over noisy channels. ICSLP 1996 |
Colors in the list of coauthors
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