University of Hertfordshire

Dr Yi Sun

Publications

  1. 2020
  2. Development of a Gaussian Process – Feature Selection Model to Characterise (poly)dimethylsiloxane (Silastic®) Membrane Permeation

    Sun, Y., Hewitt, M., Wilkinson, S. C., Davey, N., Adams, R., Gullick, D. & Moss, G., 8 Mar 2020, (Accepted/In press) In : Journal of Pharmacy and Pharmacology.

    Research output: Contribution to journalArticle

  3. 2019
  4. The influence of diffusion cell type and experimental temperature on machine learning models of skin permeability

    Ashrafi, P., Sun, Y., Davey, N., Wilkinson, S. C. & Moss, G., 14 Nov 2019, In : Journal of Pharmacy and Pharmacology. p. 1-12 12 p.

    Research output: Contribution to journalArticle

  5. The Swallowing Characteristics of Thickeners, Jellies and Yoghurt Observed Using an In Vitro Model

    Patel, S., McAuley, W., Cook, M. T., Sun, Y., Hamdy, S. & Liu, F., 9 Nov 2019, In : Dysphagia. p. 1-11 11 p.

    Research output: Contribution to journalArticle

  6. Improving the MXFT Scheduling Algorithm for a Cloud Computing Context

    Moggridge, P., Helian, N., Sun, Y., Lilley, M., Veneziano, V. & Eaves, M., 9 Aug 2019, In : International Journal of Grid and Utility Computing. 10, 6, p. 618 - 638 21 p.

    Research output: Contribution to journalArticle

  7. The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes

    Wakelam, E., Jefferies, A., Davey, N. & Sun, Y., 25 Jun 2019, In : British Journal of Educational Technology. BJET12836.

    Research output: Contribution to journalArticle

  8. 2018
  9. Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis

    Bhavsar, R., Davey, N., Helian, N., Sun, Y., Steffert, T. & Mayor, D., 11 Dec 2018, In : Procedia Computer Science. 145, p. 97-104 8 p.

    Research output: Contribution to journalConference article

  10. Time Series Analysis using Embedding Dimension on Heart Rate Variability

    Bhavsar, R., Davey, N., Helian, N., Sun, Y., Steffert, T. & Mayor, D., 11 Dec 2018, In : Procedia Computer Science. 145, p. 89-96 8 p.

    Research output: Contribution to journalConference article

  11. Estimation of microphysical parameters of atmospheric pollution using machine learning

    Llerena, C., Müller, D., Adams, R., Davey, N. & Sun, Y., 27 Sep 2018, Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I. Kurkova, V., Hammer, B., Manolopoulos, Y., Iliadis, L. & Maglogiannis, I. (eds.). Springer Verlag, p. 579-588 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11139 LNCS).

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

  12. 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

  13. 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: Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies. SciTePress, Vol. 3: BIOSIGNALS. p. 139-146 8 p.

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

  14. 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

  15. 2017
  16. 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

  17. 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

  18. 2016
  19. 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

  20. 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

  21. 2015
  22. 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

  23. 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

  24. 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

  25. 2014
  26. 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

  27. 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

  28. 2013
  29. 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

  30. 2012
  31. 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

  32. 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

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