Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. Reliability of single subject fMRI in the context of presurgical planning

    Gorgolewski, K. J., Storkey, A., Bastin, M. & Pernet, C., 2012, 18th Annual Meeting of the Organization for Human Brain Mapping.

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

  3. 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

  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. 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

  6. Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees

    Mac Aodha, O. & Brostow, G. J., 3 Mar 2014, 2013 IEEE International Conference on Computer Vision. Institute of Electrical and Electronics Engineers (IEEE), p. 193-200 8 p.

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

  7. SDTs: sparse dynamic trees

    Adams, N. J. & Williams, C. K. I., 1999, Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470). IET, p. 527-532 vol.2 6 p.

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

  8. SEQUENTIALLY FITTING GAUSSIAN MIXTURES USING AN OUTLIER COMPONENT

    TITSIAS, MK. & Williams, C., 2004, Advances in Scattering and Biomedical Engineering: Proceedings of the Sixth International Workshop Tsepelovo, Greece, 18 – 21 September 2003. WORLD SCIENTIFIC PUBL CO PTE LTD, p. 386 1 p.

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

  9. SHEILA policy framework: Informing institutional strategies and policy processes of learning analytics

    Tsai, Y-S., Moreno-Marcos, P. M., Tammets, K., Kollom, K. & Gasevic, D., 9 Mar 2018, Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK'18). Sydney: ACM Press, 10 p.

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

  10. Scalable Extreme Deconvolution

    Ritchie, J. & Murray, I., 2 Oct 2019, (Accepted/In press) Proceedings of the Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019). Neural Information Processing Systems, 7 p.

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

  11. Scheduled Denoising Autoencoders

    Geras, K. & Sutton, C., 10 May 2015, International Conference on Learning Representations (ICLR) 2015. 11 p.

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