Gavin C. Cawley

6.5k total citations · 1 hit paper
82 papers, 4.3k citations indexed

About

Gavin C. Cawley is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Gavin C. Cawley has authored 82 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 35 papers in Computer Vision and Pattern Recognition and 16 papers in Signal Processing. Recurrent topics in Gavin C. Cawley's work include Neural Networks and Applications (16 papers), Face and Expression Recognition (15 papers) and Machine Learning and Algorithms (11 papers). Gavin C. Cawley is often cited by papers focused on Neural Networks and Applications (16 papers), Face and Expression Recognition (15 papers) and Machine Learning and Algorithms (11 papers). Gavin C. Cawley collaborates with scholars based in United Kingdom, United States and Germany. Gavin C. Cawley's co-authors include Nicola L. C. Talbot, M. R. Haylock, Stephen Dorling, C. M. Goodess, Colin Harpham, Robert L. Wilby, Isabelle Guyon, Uwe Schlink, G. Nunnari and Gideon Dror and has published in prestigious journals such as Bioinformatics, PLoS ONE and Genome Research.

In The Last Decade

Gavin C. Cawley

79 papers receiving 4.0k citations

Hit Papers

On Over-fitting in Model Selection and Subsequent Selecti... 2010 2026 2015 2020 2010 400 800 1.2k

Peers

Gavin C. Cawley
Qi Meng China
Guolin Ke China
David S. Stoffer United States
Stephan R. Sain United States
Kjell Johnson United States
Mia Hubert Belgium
Juha Vesanto Finland
Donald W. Bouldin United States
Gavin C. Cawley
Citations per year, relative to Gavin C. Cawley Gavin C. Cawley (= 1×) peers Weidong Ma

Countries citing papers authored by Gavin C. Cawley

Since Specialization
Citations

This map shows the geographic impact of Gavin C. Cawley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gavin C. Cawley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin C. Cawley more than expected).

Fields of papers citing papers by Gavin C. Cawley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin C. Cawley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gavin C. Cawley. The network helps show where Gavin C. Cawley may publish in the future.

Co-authorship network of co-authors of Gavin C. Cawley

This figure shows the co-authorship network connecting the top 25 collaborators of Gavin C. Cawley. A scholar is included among the top collaborators of Gavin C. Cawley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gavin C. Cawley. Gavin C. Cawley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wainer, Jacques & Gavin C. Cawley. (2017). Empirical evaluation of resampling procedures for optimising SVM hyperparameters. Journal of Machine Learning Research. 18(1). 475–509. 20 indexed citations
2.
Cawley, Gavin C. & Nicola L. C. Talbot. (2010). On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation. Journal of Machine Learning Research. 11(70). 2079–2107. 1448 indexed citations breakdown →
3.
Guyon, Isabelle, Amir Saffari, Gideon Dror, & Gavin C. Cawley. (2010). Model Selection: Beyond the Bayesian/Frequentist Divide. Journal of Machine Learning Research. 11(3). 61–87. 93 indexed citations
4.
Cawley, Gavin C.. (2010). Some Baseline Methods for the Active Learning Challenge. UEA Digital Repository (University of East Anglia). 2 indexed citations
5.
Cawley, Gavin C. & Nicola L. C. Talbot. (2007). Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. Journal of Machine Learning Research. 8(31). 841–861. 181 indexed citations
6.
Cawley, Gavin C.. (2007). Model Selection for Kernel Probit Regression. UEA Digital Repository (University of East Anglia). 217–222. 1 indexed citations
7.
Cawley, Gavin C., et al.. (2006). Enhanced interpretation of magnetic survey data from archaeological sites using artificial neural networks. Geophysics. 71(5). H45–H53. 23 indexed citations
8.
Li, Yunhai, Kee Khoon Lee, Sean Walsh, et al.. (2006). Establishing glucose- and ABA-regulated transcription networks in Arabidopsis by microarray analysis and promoter classification using a Relevance Vector Machine. Genome Research. 16(3). 414–427. 207 indexed citations
9.
Lee, Kee Khoon, Gavin C. Cawley, & Michael Bevan. (2005). Sparse Bayesian promoter based gene classification. UEA Digital Repository (University of East Anglia). 527–532. 1 indexed citations
10.
Cawley, Gavin C. & Nicola L. C. Talbot. (2004). Sparse Bayesian Kernel Logistic Regression. UEA Digital Repository (University of East Anglia). 133–138. 2 indexed citations
11.
Cawley, Gavin C. & Nicola L. C. Talbot. (2004). Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks. 17(10). 1467–1475. 256 indexed citations
12.
Theobald, Barry-John, Jenny Bangham, Iain Matthews, & Gavin C. Cawley. (2003). Evaluation of a talking head based on appearance models.. AVSP. 187–192. 3 indexed citations
13.
Cawley, Gavin C. & Nicola L. C. Talbot. (2003). Efficient cross-validation of kernel Fisher discriminant classifiers. UEA Digital Repository (University of East Anglia). 241–246. 2 indexed citations
14.
Cawley, Gavin C., M. R. Haylock, Stephen Dorling, C. M. Goodess, & P. D. Jones. (2003). Statistical downscaling with artificial neural networks. UEA Digital Repository (University of East Anglia). 167–172. 11 indexed citations
15.
Cawley, Gavin C., Nicola L. C. Talbot, Robert J. Foxall, Stephen Dorling, & Danilo P. Mandic. (2003). Approximately Unbiased Estimation of Conditional Variance in Heteroscedastic Kernel Ridge Regression. UEA Digital Repository (University of East Anglia). 209–214. 2 indexed citations
16.
Foxall, Robert J., Gavin C. Cawley, Nicola L. C. Talbot, Stephen Dorling, & Danilo P. Mandic. (2002). Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. UEA Digital Repository (University of East Anglia). 19–24. 4 indexed citations
17.
Cawley, Gavin C. & Nicola L. C. Talbot. (2002). Efficient formation of a basis in a kernel induced feature space. UEA Digital Repository (University of East Anglia). 1–6. 10 indexed citations
18.
Theobald, Barry-John, Jenny Bangham, Iain Matthews, & Gavin C. Cawley. (2001). Visual speech synthesis using statistical models of shape and appearance. UEA Digital Repository (University of East Anglia). 78–83. 6 indexed citations
19.
Greig, Alison, Gavin C. Cawley, Kryštof Eben, et al.. (2000). Air Pollution Episodes: Modelling Tools For Improved Smog Management(APPETISE). WIT Transactions on Ecology and the Environment. 42. 89–98. 6 indexed citations
20.
Cawley, Gavin C., et al.. (1993). LSP speech synthesis using backpropagation networks. 291–294. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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