Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Segmenting video into classes of algorithm-suitability

    Mac Aodha, O., Brostow, G. J. & Pollefeys, M., 5 Aug 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 1054-1061 8 p.

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

  9. Segmenting white matter structure from diffusion MRI

    Piatkowski, J. P., Storkey, A. & Bastin, M., 2012, ICML Workshop on Statistics, Machine Learning and Neuroscience.

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

  10. Self-Organization of Innate Face Preferences: Could Genetics Be Expressed Through Learning?

    Bednar, J. A. & Miikkulainen, R., 2000, Proceedings of the Seventeenth National Conference on Artificial Intelligence. AAAI Press, p. 117-122

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

  11. Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex

    Sirosh, J., Miikkulainen, R. & Bednar, J. A., 1996, Proceedings of the International Conference on Artificial Neural Networks. Sirosh, J., Miikkulainen, R. & Choe, Y. (eds.). Berlin: Springer Japan, p. 1147-1152 6 p.

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