1. 2017
  2. Published

    Over-Fitting in Model Selection with Gaussian Process Regression

    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 proceedingConference contribution

  3. Published

    Empirical evaluation of resampling procedures for optimising SVM hyperparameters

    Wainer, J. & Cawley, G., 1 Feb 2017, In : Journal of Machine Learning Research. 18, 15, p. 1-35 35 p.

    Research output: Contribution to journalArticle

  4. 2015
  5. Published

    Benchmarking the Semi-Supervised Naïve Bayes Classifier

    Saeed, A., Cawley, G. & Bagnall, A., 12 Jul 2015.

    Research output: Contribution to conferencePaper

  6. Published

    Design of the 2015 ChaLearn AutoML challenge

    Guyon, I., Cawley, G., Bennett, K., Jair Escalente, H., Escalera, S., Ho, T. K., Macia, N., Ray, B., Saeed, M., Statnikov, A. & Viegas, E., 12 Jul 2015, Proceedings of International Joint Conference on Neural Networks (IJCNN). IEEE Press, 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Published

    On a minimal model for estimating climate sensitivity

    Cawley, G. C., Cowtan, K., Way, R. G., Jacobs, P. & Jokimäki, A., 10 Feb 2015, In : Ecological Modelling. 297, p. 20-25 6 p.

    Research output: Contribution to journalArticle

  8. 2014
  9. Published

    Kernel learning at the first level of inference

    Cawley, G. C. & Talbot, N. L. C., 1 May 2014, In : Neural Networks. 53, p. 69-80 12 p.

    Research output: Contribution to journalArticle

  10. Published

    Quantitative method for the assignment of hinge and shear mechanism in protein domain movements

    Taylor, D., Cawley, G. & Hayward, S., 2014, In : Bioinformatics. 30, 22, p. 3189-3196 8 p.

    Research output: Contribution to journalArticle

  11. 2013
  12. Published

    Classification of Protein Domain Movements using Dynamic Contact Graphs

    Taylor, D., Cawley, G. & Hayward, S., 18 Nov 2013, In : PLoS One. 8, 11, e81224.

    Research output: Contribution to journalArticle

  13. 2011
  14. Published

    Machine learning competition in immunology – Prediction of HLA class I binding peptides

    Zhang, G. L., Ansari, H. R., Bradley, P., Cawley, G. C., Hertz, T., Hue, X., Jojic, N., Kim, Y., Kohlbacher, O., Lund, O., Lundegaardi, C., Magaret, C. A., Nielsen, M., Papadopoulos, H., Raghava, G. P. S., Tal, V-S., Xue, L. C., Yanover, C., Zhu, S., Rock, M. T. & 5 othersCrowe, J. E., Panayiotou, C., Polycarpou, M. M., Ducho, W. & Brusic, V., Nov 2011, In : Journal of Immunological Methods. 374, 1-2, p. 1-4 4 p.

    Research output: Contribution to journalArticle

  15. Published

    Baseline Methods for Active Learning

    Cawley, G., 2011, JMLR: Workshop and Conference Proceedings 16 : Workshop on Active Learning and Experimental Design. Guyon, I., Cawley, G., Dror, G., Lemaire, V. & Statnikov, A. (eds.). Microtome, Vol. 16. p. 47-57 11 p. (JMLR Workshop and Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingChapter

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