Projects per year
- MRC Discipline-hopping Fellowship, 2004
- Joint Editor, Special Issue of Neurocomputing, 2003 and 2004
- Co-chair Multi-level Optimisation Workshop at NIPS-2006
- Co-chaired the workshop on Agnostic Learning versus Prior Knowledge at IJCNN-2007
Key Research Interests and Expertise
Gavin's current research interests include a continuation of his post-graduate research on neural networks in speech synthesis, and classification of atmospheric circulation patterns (also using neural networks), in collaboration with Dr Steve Dorling.
Saadi, K., Talbot, N.L.C., and Cawley, G.C. Optimally regularised kernel Fisher discriminant classification. Neural Networks, Volume 20, Issue 7, Page(s) 832-841, 2007.
Cawley, G. C. and Talbot, N. L. C. Preventing over-fitting during model selection using Bayesian regularisation. Journal of Machine Learning Research, Volume 8, Page(s) 841-861, 2007.
Cawley, G. C. and Talbot, N. L. C. Gene selection in cancer classification using sparse logistic regression with Bayesian regularisation. Bioinformatics, Volume 22, Number 19, Page(s) 2348-2355, 2006.
Cawley, G. C. and Talbot, N. L. C. Efficient leave-one-out cross-validation of kernel Fisher discriminant classifiers. Pattern Recognition, Volume 36, Issue 11, Page(s) 2585-2592, 2003.
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Lettice, F., Aung, M. H., Bagnall, T., Buckley, O., Cawley, G., Day, A., De La Iglesia, B., Finlayson, G., Harvey, R., Huber, K., Kulinskaya, E., Laycock, S., Lines, J., Mackiewicz, M., Milner, B., Moulton, V., Parr, G., Ren, E. & Wang, W.
10/01/20 → 8/01/22
25/02/08 → 24/08/11
Wainer, J. & Cawley, G., 15 Nov 2021, In: Expert Systems with Applications. 182, 115222.
Research output: Contribution to journal › Article › peer-review2 Citations (Scopus)
Middlehurst, M., Large, J., Cawley, G. & Bagnall, A., 25 Feb 2021, p. 660-676. 17 p.
Research output: Contribution to conference › Paper › peer-review1 Citation (Scopus)
Investigation of sequence features of hinge-bending regions in proteins with domain movements using kernel logistic regressionVeevers, R., Cawley, G. & Hayward, S., 9 Apr 2020, In: BMC Bioinformatics. 21, 137.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile11 Downloads (Pure)
Wainer, J. & Cawley, G., 1 Feb 2017, In: Journal of Machine Learning Research. 18, 15, p. 1-35 35 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile24 Citations (Scopus)8 Downloads (Pure)
Mohammed, R. O. & Cawley, G. C., 15 Jul 2017, Machine Learning and Data Mining in Pattern Recognition: 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings. Perner, P. (ed.). 1 ed. Springer, Vol. 10358. p. 192-205 14 p. (Lecture Notes in Computer Science)(Lecture Notes in Artificial Intelligence).
Research output: Chapter in Book/Report/Conference proceeding › Conference contributionOpen AccessFile11 Citations (Scopus)53 Downloads (Pure)