Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. 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

  3. 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

  4. Robust Optimisation Monte Carlo

    Ikonomov, B. & Gutmann, M., 6 Jan 2020, (Accepted/In press) Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics. 15 p.

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

  5. Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data

    Eduardo, S., Nazábal, A., Williams, C. K. I. & Sutton, C., 17 Jan 2020, (Accepted/In press) Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020. 10 p.

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

  6. 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

  7. 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

  8. 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

  9. Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference

    Hurwitz, C. L., Xu, K., Srivastava, A., Buccino, A. P. & Hennig, M., 14 Dec 2019, Advances in Neural Information Processing Systems 32. Wallach, H., Larochelle, H., Beygelzimer, A., d'Alche-Buc, F., Fox, E. & Ganett, R. (eds.). Curran Associates Inc, Vol. 32. p. 4726-4738 13 p.

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

  10. 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

  11. Scientific data mining, integration, and visualization

    Mann, B., Williams, R., Atkinson, M., Brodlie, K., Storkey, A. & Williams, C. K. I., 2002, Report of workshop held at the National e-Science Institute. 24 p.

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