Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2018
  2. Consequences of selecting technology pathways on cumulative carbon dioxide emissions for the United Kingdom Applied Energy

    Roberts, S. H., Foran, B. D., Axon, C. J., Warr, B. S. & Goddard, N., 28 Jun 2018, In : Applied energy. 228, p. 409-425 17 p.

    Research output: Contribution to journalArticle

  3. Dynamic metabolic control: towards precision engineering of metabolism

    Liu, D., Mannan, A. A., Han, Y., Oyarzun, D. & Zhang, F., 1 Jul 2018, In : Journal of Industrial Microbiology & Biotechnology. 45, 7, p. 535-543 9 p.

    Research output: Contribution to journalArticle

  4. Mining Semantic Loop Idioms

    Allamanis, M., Barr, E. T., Bird, C., Devanbu, P., Marron, M. & Sutton, C., 1 Jul 2018, In : IEEE Transactions on Software Engineering. 44, 7, 18 p.

    Research output: Contribution to journalArticle

  5. BPRMeth: a flexible Bioconductor package for modelling methylation profiles

    Kapourani, C-A. & Sanguinetti, G., 15 Jul 2018, In : Bioinformatics. 34, 14, p. 2485-2486 2 p.

    Research output: Contribution to journalArticle

  6. Conditional Noise-Contrastive Estimation of Unnormalised Models

    Ceylan, C. & Gutmann, M., 15 Jul 2018, Proceedings of 35th International Conference on Machine Learning (ICML 2018). Dy, J. & Krause, A. (eds.). Stockholmsmässan, Stockholm Sweden: PMLR, Vol. 80. p. 725-733 9 p. (Proceedings of Machine Learning Research; vol. 80).

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

  7. Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling

    Sutton, C., Hobson, T., Geddes, J. & Caruana, R., 19 Jul 2018, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. London, United Kingdom: ACM, p. 2279-2288 10 p.

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

  8. HuD is a neural translation enhancer acting on mTORC1-responsive genes and counteracted by the Y3 small non-coding RNA

    Tebaldi, T., Zuccotti, P., Peroni, D., Köhn, M., Gasperini, L., Potrich, V., Bonazza, V., Dudnakova, T., Rossi, A., Sanguinetti, G., Conti, L., Macchi, P., D'Agostino, V., Viero, G., Tollervey, D., Hüttelmaier, S. & Quattrone, A., 19 Jul 2018, In : Molecular Cell. 71, 2, p. 256-270 26 p.

    Research output: Contribution to journalArticle

  9. Multi-step prediction of physiological tremor with random quaternion neurons for surgical robotic applications

    Wang, Y., Tatinati, S., Adhikari, K., Nazarpour, K., Ang, W. T. & Veluvolu, K. C., 25 Jul 2018, In : IEEE Access. 6, p. 42216-42226

    Research output: Contribution to journalArticle

  10. A Survey of Machine Learning for Big Code and Naturalness

    Allamanis, M., Barr, E. T., Devanbu, P. & Sutton, C., 31 Jul 2018, In : ACM Computing Surveys. 51, 4, 36 p., 81.

    Research output: Contribution to journalArticle

  11. Influence of nerve cuff channel count and implantation site on the separability of afferent ENG

    Silveira, C., Brunton, E., Spendiff, S. & Nazarpour, K., 1 Aug 2018, In : Journal of Neural Engineering. 15, 4, p. 1-12 12 p., 046004 .

    Research output: Contribution to journalArticle