Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Disciplinary Differences in Blended Learning Design: A Network Analytic Study

    Whitelock-Wainwright, A., Tsai, Y-S., Lyons, K., Khalif, S., Bryant, M., Ryan, K. & Gasevic, D., 2 Dec 2019, (Accepted/In press) The 10th International Learning Analytics & Knowledge Conference. ACM, 10 p.

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

  2. The Student Expectations of Learning Analytics Questionnaire (SELAQ)

    Whitelock-Wainwright, A., Gasevic, D., Tejeiro, R., Tsai, Y-S. & Bennett, K., Oct 2019, In : Journal of Computer Assisted Learning. 35, 5, p. 633-666 34 p.

    Research output: Contribution to journalArticle

  3. Event-related fMRI of word classification and successful word recognition in subjects at genetically enhanced risk of schizophrenia

    Whyte, M-C., Whalley, H. C., Simonotto, E., Flett, S., Shillcock, R., Marshall, I., Goddard, N. H., Johnstone, E. C. & Lawrie, S. M., Oct 2006, In : Psychological Medicine. 36, 10, p. 1427-39 13 p.

    Research output: Contribution to journalArticle

  4. Automating the Calibration of a Neonatal Condition Monitoring System

    Williams, C. K. I. & Stanculescu, I., 2011, Artificial Intelligence in Medicine: 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011. Proceedings. Peleg, M., Lavrac, N. & Combi, C. (eds.). Springer-Verlag GmbH, p. 240-249 10 p. (Lecture Notes in Computer Science; vol. 6747).

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

  5. Extracting Motion Primitives from Natural Handwriting Data

    Williams, B. H., Toussaint, M. & Storkey, A. J., 2006, Artificial Neural Networks – ICANN 2006. Kollias, S., Stafylopatis, A., Duch, W. & Oja, E. (eds.). Springer-Verlag Berlin Heidelberg, p. 634-643 (Lecture Notes in Computer Science; vol. 4132).

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

  6. Computation With Infinite Neural Networks

    Williams, C. K. I., 1 Jul 1997, In : Neural Computation. 10, 5, p. 1203-1216 14 p.

    Research output: Contribution to journalArticle

  7. Bayesian Classification with Gaussian Processes

    Williams, C. K. I. & Barber, D., Dec 1998, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 20, 12, p. 1342-1351 10 p.

    Research output: Contribution to journalArticle

  8. How to pretend that correlated variables are independent by using difference observations

    Williams, C. K. I., Jan 2005, In : Neural Computation. 17, 1, p. 1-6 6 p.

    Research output: Contribution to journalArticle

  9. A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data

    Williams, B. H., Toussaint, M. & Storkey, A. J., 2007, IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007. Veloso, MM. (ed.). Freiburg: IJCAI-INT JOINT CONF ARTIF INTELL, p. 1119-1124 6 p.

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

  10. Observations on the Nyström Method for Gaussian Processes

    Williams, C. K. I., Rasmussen, C. E., Schwaighofer, A. & Tresp, V., 2002, 9 p.

    Research output: Working paper