Gavin C. Cawley

School of Computing Sciences, University of East Anglia

	2011
60		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
59		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)
58		Gavin C. Cawley: Baseline Methods for Active Learning. Journal of Machine Learning Research - Proceedings Track 16: 47-57 (2011)
	2010
57		Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire: Design and analysis of the WCCI 2010 active learning challenge. IJCNN 2010: 1-8
56		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)
55		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)
	2008
54		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
53		Gavin C. Cawley: Causal and Non-Causal Feature Selection for Ridge Regression. Journal of Machine Learning Research - Proceedings Track 3: 107-128 (2008)
52		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)
	2007
51		Gavin C. Cawley: Model Selection for Kernel Probit Regression. ESANN 2007: 217-222
50		Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot: Generalised Kernel Machines. IJCNN 2007: 1720-1725
49		Gavin C. Cawley, Nicola L. C. Talbot: Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. IJCNN 2007: 1732-1737
48		Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley: Agnostic Learning vs. Prior Knowledge Challenge. IJCNN 2007: 829-834
47		Gavin C. Cawley: An Empirical Evaluation of the Fuzzy Kernel Perceptron. IEEE Transactions on Neural Networks 18(3): 935-937 (2007)
46		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)
45		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)
44		Gavin C. Cawley, Gareth J. Janacek, Malcolm R. Haylock, Stephen R. Dorling: Predictive uncertainty in environmental modelling. Neural Networks 20(4): 537-549 (2007)
43		Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley: Optimally regularised kernel Fisher discriminant classification. Neural Networks 20(7): 832-841 (2007)
	2006
42		Gavin C. Cawley: Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs. IJCNN 2006: 1661-1668
41		Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling: Predictive Uncertainty in Environmental Modelling. IJCNN 2006: 5347-5354
40		Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami: Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS 2006: 209-216
39		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)
38		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)
37		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)
36		Jochen J. Steil, Gavin C. Cawley, Fabrice Rossi: New Issues in Neurocomputing. Neurocomputing 69(7-9): 625-626 (2006)
	2005
35		Kee Khoon Lee, Gavin C. Cawley, Michael W. Bevan: sparse Bayesian promoter based gene classification. ESANN 2005: 527-532
34		Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle: Estimating Predictive Variances with Kernel Ridge Regression. MLCW 2005: 56-77
33		Gavin C. Cawley, Nicola L. C. Talbot: Constructing Bayesian formulations of sparse kernel learning methods. Neural Networks 18(5-6): 674-683 (2005)
32		Jochen J. Steil, Gavin C. Cawley, Thomas Villmann: Trends in Neurocomputing at ESANN 2004. Neurocomputing 64: 1-4 (2005)
31		Gavin C. Cawley, Nicola L. C. Talbot: The evidence framework applied to sparse kernel logistic regression. Neurocomputing 64: 119-135 (2005)
	2004
30		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
29		Gavin C. Cawley, Nicola L. C. Talbot: Sparse Bayesian kernel logistic regression. ESANN 2004: 133-138
28		Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley: Optimally Regularised Kernel Fisher Discriminant Analysis. ICPR (2) 2004: 427-430
27		Gavin C. Cawley, Nicola L. C. Talbot: Efficient Model Selection for Kernel Logistic Regression. ICPR (2) 2004: 439-442
26		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)
25		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)
24		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)
23		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)
	2003
22		Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling, Clare Goodess, Phil D. Jones: Statistical downscaling with artificial neural networks. ESANN 2003: 167-172
21		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
20		Gavin C. Cawley, Nicola L. C. Talbot: Efficient cross-validation of kernel fisher discriminant classifiers. ESANN 2003: 241-246
19		Stephen J. Cox, Gavin C. Cawley: The use of confidence measures in vector based call-routing. INTERSPEECH 2003
18		Barry 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)
17		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)
	2002
16		Alison Bosson, Gavin C. Cawley, Yi Chan, Richard Harvey: Non-retrieval: Blocking Pornographic Images. CIVR 2002: 50-60
15		Gavin C. Cawley, Nicola L. C. Talbot: Efficient formation of a basis in a kernel induced feature space. ESANN 2002: 1-6
14		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
13		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
12		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
11		Gavin C. Cawley, Nicola L. C. Talbot: A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. ICANN 2002: 681-686
10		Gavin C. Cawley, Nicola L. C. Talbot: Reduced Rank Kernel Ridge Regression. Neural Processing Letters 16(3): 293-302 (2002)
9		Gavin C. Cawley, Nicola L. C. Talbot: Improved sparse least-squares support vector machines. Neurocomputing 48(1-4): 1025-1031 (2002)
	2001
8		Barry Theobald, Gavin C. Cawley, Silko Kruse, J. Andrew Bangham: Towards a low bandwidth talking face using appearance models. BMVC 2001
7		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)
	2000
6		Gavin C. Cawley: On a Fast, Compact Approximation of the Exponential Function. Neural Computation 12(9): 2009-2012 (2000)
	1998
5		J. Andrew Bangham, J. R. Hidalgo, Richard Harvey, Gavin C. Cawley: The Segmentation of Images via Scale-Space Trees. BMVC 1998
	1997
4		Luis Miguel Teixeira de Jesus, Gavin C. Cawley: Speech coding and synthesis using parametric curves. EUROSPEECH 1997
3		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
2		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
1		Gavin C. Cawley: An improved vector quantization algorithm for speech transmission over noisy channels. ICSLP 1996

Coauthor Index

1	Anthony J. Bagnall	[46]
2	J. Andrew Bangham	[5] [7] [8] [18] [23] [54]
3	Michael W. Bevan	[35]
4	Alison Bosson	[16]
5	Larry Bull	[46]
6	Yi Chan	[16]
7	Olivier Chapelle	[34]
8	Tim Chatterton	[26]
9	Stephen J. Cox	[19]
10	Stephen R. Dorling	[2] [12] [13] [21] [22] [24] [26] [38] [41] [44]
11	Gideon Dror	[48] [52] [55] [57] [59]
12	Robert J. Foxall	[12] [13] [21] [24] [26]
13	Mark A. Girolami (Mark Girolami)	[40]
14	Clare Goodess	[22]
15	Isabelle Guyon	[48] [52] [55] [57] [59]
16	Richard Harvey	[5] [7] [16]
17	Malcolm R. Haylock	[22] [41] [44]
18	Steven Hayward	[60]
19	Olf Herbarth	[38]
20	J. R. Hidalgo	[5]
21	Gareth J. Janacek	[30] [37] [44] [50] [60]
22	Luis Miguel Teixeira de Jesus	[4]
23	Phil D. Jones	[22]
24	Pertti Koivisto	[7]
25	Silko Kruse	[8] [18]
26	Kee Khoon Lee	[35]
27	Vincent Lemaire	[57] [59]
28	Danilo P. Mandic	[12] [13] [21] [24]
29	Iain Matthews (Iain A. Matthews)	[23] [54]
30	Geoff R. Moore	[60]
31	Giuseppe Nunnari	[26] [38]
32	Michael Peck	[30]
33	Mike W. Peck	[37]
34	Emil Pelikán	[38]
35	Mike Pettipher	[46]
36	Matthias Richter	[38]
37	Fabrice Rossi	[36]
38	Kamel Saadi	[14] [28] [43]
39	Amir Saffari (Amir Reza Saffari Azar Alamdari)	[48] [52] [55]
40	Uwe Schlink	[26] [38]
41	Ilya Shmulevich	[7]
42	Jochen J. Steil (Jochen Jakob Steil)	[32] [36]
43	Matthew Studley	[46]
44	Nicola L. C. Talbot	[3] [9] [10] [11] [13] [14] [15] [17] [20] [21] [24] [25] [27] [28] [29] [30] [31] [33] [34] [37] [39] [40] [43] [45] [49] [50] [56]
45	Firat Tekiner	[46]
46	Barry Theobald	[8] [18]
47	Barry-John Theobald	[23] [54]
48	Thomas Villmann	[32]
49	Ian Whittley	[46]
50	Nicholas Wilkinson	[54]
51	Olli Yli-Harja	[7]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page