About
Discord Stateoftheart AI
GitHub

Publications

145

Cited by

6069

Gavin C Cawley

machine learning
University of East Anglia

United Kingdom

Papers and Citations

1 - 50
On over-fitting in model selection and subsequent selection bias in performance evaluation
2010
Nicola Talbot
Gavin C Cawley
Cited by 1114
Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers
2003
Nicola Talbot
Gavin C Cawley
Cited by 427
Downscaling heavy precipitation over the United Kingdom: a comparison of dynamical and statistical methods and their future scenarios
2006
C Harpham
MR Haylock
CM Goodess
+2
Cited by 389
Fast exact leave-one-out cross-validation of sparse least-squares support vector machines
2004
Gavin C Cawley
Nicola Talbot
Cited by 332
Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters
2007
Gavin C Cawley
Nicola Talbot
Cited by 277
Establishing glucose-and ABA-regulated transcription networks in Arabidopsis by microarray analysis and promoter classification using a Relevance Vector Machine
2006
Caroline Smith
Yunhai Li
Kee Khoon Lee
+5
Cited by 276
Gene selection in cancer classification using sparse logistic regression with Bayesian regularization
2006
Nicola Talbot
Gavin C Cawley
Cited by 244
Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs
2006
Gavin C Cawley
Cited by 231
Sparse multinomial logistic regression via bayesian l1 regularisation
2007
Gavin C Cawley
Mark Girolami
Nicola Talbot
Cited by 228
Model Selection: Beyond the Bayesian/Frequentist Divide
2010
Amir Saffari
Gavin C Cawley
Gideon Dror
Cited by 160
A rigorous inter-comparison of ground-level ozone predictions
2003
Uwe Schlink
Alison Greig
Michal Dostal
+13
Cited by 152
Statistical models to assess the health effects and to forecast ground-level ozone
2006
Olf Herbarth
Matthias Richter
Giuseppe Nunnari
+4
Cited by 134
Modelling SO2 concentration at a point with statistical approaches
2004
U Schlink
T Chatterton
R Foxall
+3
Cited by 125
Non-retrieval: blocking pornographic images
2002
Richard Harvey
Gavin C Cawley
Y Chan
+1
Cited by 123
Improved sparse least-squares support vector machines
2002
Gavin C Cawley
Nicola Talbot
Cited by 102
Design of the 2015 chalearn automl challenge
2015
Sergio Escalera
Alexander Statnikov
Tin Kam Ho
+8
Cited by 84
Results of the active learning challenge
2011
Isabelle Guyon
Isabelle Guyon
Gavin C Cawley
+1
Cited by 79
Efficient approximate leave-one-out cross-validation for kernel logistic regression
2008
Nicola Talbot
Gavin C Cawley
Cited by 69
Predictive uncertainty in environmental modelling
2007
MR Haylock
gareth janacek
S.R. Dorling
+1
Cited by 64
Maximum likelihood cost functions for neural network models of air quality data
2003
RJ Foxall
Danilo Mandic
Gavin C Cawley
+1
Cited by 62
Machine Learning Competition in Immunology–Prediction of HLA class I molecules
2011
Vider-Shalit Tal
Marios M. Polycarpou
Oliver Kohlbacher
+22
Cited by 58
Machine learning competition in immunology-prediction of HLA class I molecules
2011
Xihao Hu
Tomer Hertz
O Lund
+7
Cited by 58
Reduced rank kernel ridge regression
2002
Nicola Talbot
Gavin C Cawley
Cited by 54
Heteroscedastic kernel ridge regression
2004
DP Mandic
RJ Foxall
Nicola Talbot
+2
Cited by 49
Near-videorealistic synthetic talking faces: Implementation and evaluation
2004
JA Bangham
Barry-John Theobald
Gavin C Cawley
+1
Cited by 47
Agnostic learning vs. prior knowledge challenge
2007
Isabelle Guyon
Isabelle Guyon
Amir Saffari
+1
Cited by 38
Quantitative method for the assignment of hinge and shear mechanism in protein domain movements
2014
Steven Hayward
Daniel J Taylor, Ph.D.
Gavin C Cawley
Cited by 37
The Segmentation of Images via Scale-Space Trees.
1998
JA Bangham
Javier Ruiz Hidalgo
Richard Harvey
+1
Cited by 35
Efficient model selection for kernel logistic regression
2004
Gavin C Cawley
Nicola Talbot
Cited by 34
Model selection for support vector machines via adaptive step-size tabu search
2001
Gavin C Cawley
Cited by 32
Baseline methods for active learning
2011
Gavin C Cawley
Cited by 30
Estimating predictive variances with kernel ridge regression
2006
Olivier Chapelle
Gavin C Cawley
Nicola Talbot
Cited by 29
Optimally regularised kernel Fisher discriminant classification
2007
Kamel Saadi
Gavin C Cawley
Nicola Talbot
Cited by 26
Efficient formation of a basis in a kernel induced feature space.
2002
Gavin C Cawley
Nicola Talbot
Cited by 25
Learning classifier systems for data mining: A comparison of XCS with other classifiers for the forest cover data set
2003
Gavin C Cawley
Tony Bagnall
Cited by 23
Enhanced interpretation of magnetic survey data from archaeological sites using artificial neural networks
2006
PN Chroston
DJ Bescoby
Gavin C Cawley
Cited by 23
Generalised kernel machines
2007
NLC Talbot
gareth janacek
Gavin C Cawley
Cited by 22
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
2008
Amir Saffari
Isabelle Guyon
Isabelle Guyon
+1
Cited by 22
Empirical evaluation of resampling procedures for optimising SVM hyperparameters
2017
Jacques Wainer
Gavin C Cawley
Cited by 22
Causal & non-causal feature selection for ridge regression
2008
Gavin C Cawley
Cited by 21
A greedy training algorithm for sparse least-squares support vector machines
2002
Nicola Talbot
Gavin C Cawley
Cited by 21
Nested cross-validation when selecting classifiers is overzealous for most practical applications
2018
Gavin C Cawley
Jacques Wainer
Cited by 16
2.5 D Visual Speech Synthesis Using Appearance Models.
2003
JA Bangham
Gavin C Cawley
John Glauert
+2
Cited by 15
Enhanced interpretation of magnetic survey data using artificial neural networks: a case study from Butrint, southern Albania
2004
PN Chroston
DJ Bescoby
Gavin C Cawley
Cited by 13
Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens
2006
MW Peck
Gavin C Cawley
Nicola Talbot
+1
Cited by 12
LSP speech synthesis using backpropagation networks
1993
PD Noakes
Gavin C Cawley
Cited by 12
Visual speech synthesis using statistical models of shape and appearance
2001
JA Bangham
Iain Matthews
Gavin C Cawley
+1
Cited by 11
On the use of default parameter settings in the empirical evaluation of classification algorithms
2017
Tony Bagnall
Gavin C Cawley
Cited by 11
Hands-On Pattern Recognition Challenges in Machine Learning, Volume
2011
Amir Saffari
Gavin C Cawley
Gideon Dror
+1
Cited by 11
The evidence framework applied to sparse kernel logistic regression
2005
Nicola Talbot
Gavin C Cawley
Cited by 10