Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Removal of the eye-blink artifacts from EEGs via STF-TS modeling and robust minimum variance beamforming

    Nazarpour, K., Wongsawat, Y., Sanei, S., Chambers, J. A. & Oraintara, S., 1 Sep 2008, In : IEEE Transactions on Biomedical Engineering. 55, 9, p. 2221-2231 11 p.

    Research output: Contribution to journalArticle

  2. Renewal Strings for Cleaning Astronomical Databases

    Storkey, A. J., Hambly, N. C., Williams, C. K. I. & Mann, R. G., 7 Aug 2014, Proceedings of the Nineteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-03). Morgan Kaufmann, p. 559-566 8 p.

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

  3. Repeatability of motor and working-memory tasks in healthy older volunteers: Assessment at functional MR imaging

    Marshall, I., Simonotto, E., Deary, I. J., Maclullich, A., Ebmeier, K. P., Rose, E. J., Wardlaw, J. M., Goddard, N. & Chappell, F. M., Dec 2004, In : European Radiology. 233, 3, p. 868-877 10 p.

    Research output: Contribution to journalArticle

  4. Representing and recognizing event sequences

    Goddard, N. H., 1989, Proc. AAAI Workshop on Neural Architectures for Computer Vision.

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

  5. Reproducibility of tract segmentation between sessions using an unsupervised modelling-based approach

    Clayden, J. D., Storkey, A. J., Maniega, S. M. & Bastin, M. E., Apr 2009, In : NeuroImage. 45, 2, p. 377-385 9 p.

    Research output: Contribution to journalArticle

  6. Reprogramming of Escherichia coli K-12 Metabolism during the Initial Phase of Transition from an Anaerobic to a Micro-Aerobic Environment

    Trotter, E. W., Rolfe, M. D., Hounslow, A. M., Craven, C. J., Williamson, M. P., Sanguinetti, G., Poole, R. K. & Green, J., 1 Sep 2011, In : PLoS ONE. 6, 9, p. 1-7 7 p.

    Research output: Contribution to journalArticle

  7. Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth-death models

    Lintusaari, J., Blomstedt, P., Sivula, T., Gutmann, M., Kaski, S. & Corander, J., 30 Aug 2019, In : Wellcome Open Research . 4, 14, 10 p.

    Research output: Contribution to journalArticle

  8. Resource-Efficient Feature Gathering at Test Time

    Gray, G. & Storkey, A., 2016.

    Research output: Contribution to conferencePoster

  9. Response-Time Modeling for Resource Allocation and Energy-Informed SLAs

    Bodik, P., Sutton, C., Fox, A., Patterson, D. & Jordan, M. I., 2007, NIPS Workshop on Statistical Learning Techniques for Solving Systems Problems (MLSys 07). NIPS Foundation

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