Edinburgh Research Explorer

School of Informatics

Organisational unit: School

  1. 2019
  2. Exploring Cheat Sheets for Data Visualization Techniques

    Wang, Z., Sundin, L., Murray-Rust, D. & Bach, B., 20 Oct 2019. 2 p.

    Research output: Contribution to conferencePoster

  3. Dissecting the Shared and Context-Dependent Pathways Mediated by the p140Cap Adaptor Protein in Cancer and in Neurons

    Chapelle, J., Sorokina, O., McLean, C., Salemme, V., Alfieri, A., Angelini, C., Morellato, A., Adrait, A., Menna, E., Matteoli, M., Couté, Y., Ala, U., Turco, E., Defilippi, P. & Armstrong, J. D., 15 Oct 2019, In : Frontiers in Cell and Developmental Biology. 7, 19 p., 222.

    Research output: Contribution to journalArticle

  4. Stochastic Gradient Trees

    Gouk, H., Pfahringer, B. & Frank, E., 15 Oct 2019, Proceedings of The Eleventh Asian Conference on Machine Learning. Lee, W. S. & Suzuki, T. (eds.). Nagoya, Japan: PMLR, Vol. 101. p. 1094-1109 16 p. (Proceedings of Machine Learning Research; vol. 101).

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

  5. Extending the Message Passing Interface (MPI) with User-Level Schedules

    Schafer, D., Ghafoor, S., Holmes, D., Ruefenacht, M. & Skjellum, A., 10 Oct 2019.

    Research output: Contribution to conferencePaper

  6. Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map

    Rachmadi, M., Valdes Hernandez, M., Makin, S., Wardlaw, J. & Komura, T., 10 Oct 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 146–154 9 p.

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

  7. On the expressive power of user-defined effects: effect handlers, monadic reflection, delimited control

    Forster, Y., Kammar, O., Lindley, S. & Pretnar, M., 8 Oct 2019, In : Journal of Functional Programming. 29, 44 p., E15.

    Research output: Contribution to journalArticle

  8. Empowering learners with personalised learning approaches? Agency, equity and transparency in the context of learning analytics

    Tsai, Y-S., Perrotta, C. & Gasevic, D., 2 Oct 2019, (Accepted/In press) In : Assessment & Evaluation in Higher Education. 23 p.

    Research output: Contribution to journalArticle

  9. Assessing the validity of a learning analytics expectation instrument: A multinational study

    Whitelock-Wainwright, A., Gasevic, D., Tsai, Y-S., Drachsler, H., Scheffel, M., Muñoz-Merino, P., Tammets, K. & Delgado Kloos, C., 1 Oct 2019, (Accepted/In press) In : Journal of Computer Assisted Learning. 53 p.

    Research output: Contribution to journalArticle

  10. Eithne: A framework for benchmarking micro-core accelerators

    Jamieson, M. & Brown, N., 1 Oct 2019, (Accepted/In press). 2 p.

    Research output: Contribution to conferencePoster

  11. To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market

    Green, L., Sung, M-C., Ma, T. & Johnson, JE. V., 1 Oct 2019, In : European Journal of Operational Research. 278, 1, p. 226-239 14 p.

    Research output: Contribution to journalArticle

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