University of Hertfordshire

Dr Yi Sun

Dr Yi Sun

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

Publications

  1. 2017
  2. 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

    Research output: Research - peer-reviewPaper

  3. 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 Aug 2017 (Accepted/In press) In : Procedia Computer Science.

    Research output: Research - peer-reviewArticle

  4. 2016
  5. Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns

    Priori, D., de Sousa, G., Roisenberg, M., Stopford, C., Hesse, E., Davey, N. & Sun, Y. 13 Aug 2016 Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E. P. Villa, A., Masulli, P. & Pons Rivero, A. J. (eds.). Springer International Publishing AG, Vol. 9887, p. 372-379 8 p. (Lectures Notes in Computer Sciences; vol. 9887)

    Research output: ResearchConference contribution

  6. 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: ResearchConference contribution

  7. 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: Research - peer-reviewArticle

  8. 2015
  9. 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: ResearchConference contribution

  10. 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: ResearchConference contribution

  11. 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: Research - peer-reviewArticle

  12. 2014
  13. 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: Research - peer-reviewArticle

  14. 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: Research - peer-reviewArticle

  15. 2013
  16. 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: ResearchConference contribution

  17. 2012
  18. 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: Research - peer-reviewLiterature review

  19. 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: Research - peer-reviewArticle

  20. 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: Research - peer-reviewArticle

  21. 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: Research - peer-reviewArticle

  22. 2011
  23. 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: Research - peer-reviewArticle

  24. 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: Research - peer-reviewArticle

  25. 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: Research - peer-reviewArticle

  26. 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: Research - peer-reviewArticle

  27. 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: ResearchConference contribution

  28. 2010
  29. The application of Gaussian processes in the prediction of absorption across mammalian skin and synthetic membranes

    Sun, Y., Prapopoulou, M., Adams, R., Davey, N., Moss, G. P. & Brown, M. Jun 2010 In : Journal of Pharmacy and Pharmacology. 62, 6, p. 803 1 p.

    Research output: Research - peer-reviewMeeting abstract

  30. Correcting Errors in Optical Data Transmission Using Neural Networks

    Hunt, S., Sun, Y., Shafarenko, A., Adams, R. G., Davey, N., Slater, B., Bhamber, R., Boscolo, S. & Turitsyn, S. K. 2010 In : Lecture Notes in Computer Science. 6353, p. 448-457

    Research output: Research - peer-reviewArticle

  31. Photometric redshift estimation using Gaussian processes

    Bonfield, D., Sun, Y., Davey, N., Jarvis, M. J., Abdalla, F. B., Banerji, M. & Adams, R. G. 2010 In : Monthly Notices of the Royal Astronomical Society. 405, 2, p. 987-994

    Research output: Research - peer-reviewArticle

  32. Predicting drug absorption rates through human skin

    Sun, Y., Lam, L. Y., Moss, G. P., Prapopoulou, M., Adams, R. G., Davey, N., Gray, D. & Brown, M. 2010 IEEE International Joint Conference on Neural Networks (IJCNN) No. 11593964. IEEE, p. 1-5

    Research output: ResearchConference contribution

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