University of Hertfordshire

Dr Yi Sun

Dr Yi Sun

Postal address:
University of Hertfordshire, Hatfield, Hertfordshire
United Kingdom

Publications

  1. 2018
  2. Improving the MXFT Scheduling Algorithm for a Cloud Computing Context

    Moggridge, P., Helian, N., Sun, Y., Lilley, M., Veneziano, V. & Eaves, M. 9 Mar 2018 (Accepted/In press) In : International Journal of Grid and Utility Computing. 9, 2, 21 p.

    Research output: Contribution to journalArticle

  3. Model fitting for small skin permeability data sets: hyperparameter optimisation in Gaussian Process Regression

    Ashrafi, P., Sun, Y., Davey, N., Adams, R., Wilkinson, S. C. & Moss, G. P. 14 Feb 2018 In : Journal of Pharmacy and Pharmacology. 70, 3, p. 361-373 13 p.

    Research output: Contribution to journalArticle

  4. An Investigation of How Wavelet Transform can Affect the Correlation Performance of Biomedical Signals: The Correlation of EEG and HRV Frequency Bands in the frontal lobe of the brain

    Bhavsar, R., Davey, N., Sun, Y. & Helian, N. 7 Feb 2018 International Conference on Bio-inspired Systems and Signal Processing. 8 p.

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

  5. The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance

    Bhavsar, R., Sun, Y., Helian, N., Davey, N., Mayor, D. & Steffert, T. 3 Feb 2018 In : Procedia Computer Science. 123, p. 92-97 6 p.

    Research output: Contribution to journalArticle

  6. 2017
  7. An automatic taxonomy of galaxy morphology using unsupervised machine learning

    Hocking, A., Geach, J. E., Sun, Y. & Davey, N. 15 Sep 2017 In : Monthly Notices of the Royal Astronomical Society. 473, 1, p. 1108-1129 22 p.

    Research output: Contribution to journalArticle

  8. Revising Max-min for Scheduling in a Cloud Computing Context

    Moggridge, P., Helian, N., Sun, Y., Lilley, M., Veneziano, V. & Eaves, M. 18 Aug 2017 2017 IEEE 26th International Conference on Enabling Technologies: : Infrastructure for Collaborative Enterprises (WETICE). IEE

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

  9. 2016
  10. The Mining and Analysis of Data with Mixed Attribute Types

    Wakelam, E., Davey, N., Sun, Y., Jefferies, A., Alva, P. & Hocking, A. 22 May 2016 Proceedings: IMMM 2016: Sixth International Conference on Advances in Information Mining and Management. 6 ed. Valencia: IARIA, p. 32-37 6 p. 7

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

  11. Support vector regression to estimate the permeability enhancement of potential transdermal enhancers

    Shah, A., Sun, Y., Adams, R., Davey, N., Wilkinson, S. C. & Moss, G. P. J. 16 Feb 2016 In : Journal of Pharmacy and Pharmacology. 68, 2, p. 170-184 15 p.

    Research output: Contribution to journalArticle

  12. 2015
  13. The importance of hyperparameters selection within small datasets

    Ashrafi, P., Sun, Y., Davey, N., Adams, R., Brown, M., Prapopoulou, M. & Moss, G. 1 Oct 2015 2015 International Joint Conference on Neural Networks (IJCNN). IEEE

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

  14. The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems

    Wakelam, E., Jefferies, A., Davey, N. & Sun, Y. Oct 2015 ECEL 2015 Conference proceedings. 10 p.

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

  15. The application of machine learning to the modelling of percutaneous absorption: An overview and guide

    Ashrafi, P., Moss, G. P., Wilkinson, S. C., Davey, N. & Sun, Y. 18 Mar 2015 In : SAR and QSAR in Environmental Research. 26, 3, p. 181-204 24 p.

    Research output: Contribution to journalArticle

  16. 2014
  17. Some code smells have a significant but small effect on faults

    Hall, T., Zhang, M., Bowes, D. & Sun, Y. Aug 2014 In : ACM Transactions on Software Engineering & Methodology. 23, 4, 33

    Research output: Contribution to journalArticle

  18. Entry in progress

    Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions

    Rezwan, F., Davey, N., Sun, Y. & Adams, R. 2014 (In preparation) In : Applied Soft Computing.

    Research output: Contribution to journalArticle

  19. 2013
  20. Linear Support Vector Machines for Error Correction in Optical Data Transmission

    Metaxas, A., Redyuk, A., Sun, Y., Shafarenko, A., Davey, N. & Adams, R. 2013 ICANNGA 2013, Procs 11th Int Conf. Springer, p. 438-445 (Lecture Notes in Computer Science; vol. 7824)

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

  21. 2012
  22. Mathematical modelling of percutaneous absorption

    Moss, G. P., Wilkinson, S. C. & Sun, Y. Jun 2012 In : Current Opinion in Colloid and Interface Science. 17, 3, p. 166-172 7 p.

    Research output: Contribution to journalLiterature review

  23. An evaluation of the potential of linear and nonlinear skin permeation models for the prediction of experimentally measured percutaneous drug absorption

    Brown, M., Lau, C-H., Lim, S. T., Sun, Y., Davey, N., Moss, G. P., Yoo, S-H. & De Muynck, C. Apr 2012 In : Journal of Pharmacy and Pharmacology. 64, 4, p. 566-577 12 p.

    Research output: Contribution to journalArticle

  24. The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers

    Moss, G., Shah, A. J., Adams, R. G., Davey, N., Sun, Y., Wilkinson, S. C. & Pugh, W. J. 23 Jan 2012 In : European Journal of Pharmaceutical Sciences. 45, 1-2, p. 116-127 12 p.

    Research output: Contribution to journalArticle

  25. Reflections on the NASA MDP data sets

    Gray, D., Sun, Y., Davey, N., Christianson, B. & Bowes, D. 2012 In : IET Software. 6, 6, p. 549-558 10 p.

    Research output: Contribution to journalArticle

  26. 2011
  27. The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes

    Moss, G., Sun, Y., Wilkinson, S. C., Davey, N., Adams, R., Martin, G. P., Prapopopolou, M. & Brown, M. Nov 2011 In : Journal of Pharmacy and Pharmacology. 63, 11, p. 1411-1427 17 p.

    Research output: Contribution to journalArticle

  28. The application of stochastic machine learning methods in the prediction of skin penetration

    Sun, Y., Brown, M., Prapopoulou, M., Davey, N., Adams, R. G. & Moss, G. P. Mar 2011 In : Applied Soft Computing. 11, 2, p. 2367-2375 9 p.

    Research output: Contribution to journalArticle

  29. Effect of using varying negative examples in transcription factor binding site predictions

    Rezwan, F., Sun, Y., Davey, N., Adams, R., Rust, A. G. & Robinson, M. 2011 In : Lecture Notes in Computer Science. 6623, p. 1-12

    Research output: Contribution to journalArticle

  30. Further thoughts on precision

    Gray, D., Bowes, D., Davey, N., Sun, Y. & Christianson, B. 2011 In : IET Seminar Digest. 1, p. 129-133

    Research output: Contribution to journalArticle

  31. The misuse of the NASA metrics data program data sets for automated software defect prediction

    Gray, D., Bowes, D., Davey, N., Sun, Y. & Christianson, B. 2011 Procs 15th Annual Conference on Evaluation & Assessment in Software Engineering (EASE 2011). IET, p. 96-103

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

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