Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. Modeling 3D tremor signals with a quaternion weighted Fourier Linear Combiner

    Adhikari, K., Tatinati, S., Veluvolu, K. C. & Nazarpour, K., 2 Jul 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER). Institute of Electrical and Electronics Engineers (IEEE), p. 799-802 4 p.

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

  3. Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE

    Uria, B., Murray, I., Renals, S., Valentini-Botinhao, C. & Bridle, J., 2015, Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on . IEEE Signal Processing Society Press, p. 4465-4469 5 p.

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

  4. Modelling biological systems with delays in Bio-PEPA

    Caravagna, G. & Hillston, J., 2010, Proceedings of MeCBIC 2010. p. 85-101 17 p. (Electronic Proceedings in Theoretical Computer Science; vol. 40).

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

  5. Modelling motion primitives and their timing in biologically executed movements

    Williams, B., Toussaint, M. & Storkey, A. J., 2008, Advances in Neural Information Processing Systems 20. Platt, J. C., Koller, D., Singer, Y. & Roweis, S. T. (eds.). Curran Associates Inc, p. 1609-1616 8 p.

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

  6. Modelling the acquisition of lexical segmentation

    Cairns, P., Shillcock, R., Chater, N. & Levy, J., 1994, The Proceedings of the 26th Annual Child Language Research Forum. Clark, E. V. (ed.). Vol. 26. p. 32-41 10 p.

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

  7. Modelling transcriptional regulation using Gaussian processes

    Lawrence, N. D., Sanguinetti, G. & Rattray, M., 2006, Advances in Neural Information Processing Systems. p. 785-792 8 p.

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

  8. Moonshine: Distilling with Cheap Convolutions

    Crowley, E., Gray, G. & Storkey, A., 2018, Thirty-second Conference on Neural Information Processing Systems (NIPS 2018). Montreal, Canada, 11 p.

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

  9. More Semantics More Robust: Improving Android Malware Classifiers

    Chen, W., Aspinall, D., Gordon, A., Sutton, C. & Muttik, I., 18 Jul 2016, 9th ACM Conference on Security and Privacy in Wireless and Mobile Networks. Darmstadt, Germany: ACM, p. 147-158 12 p.

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

  10. Multi-Task Time Series Analysis applied to Drug Response Modelling

    Bird, A., Williams, C. K. I. & Hawthorne, C., 18 Apr 2019, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. Lawrence, N. & Reid, M. (eds.). PMLR, Vol. 89. 10 p. (Proceedings of Machine Learning Research; vol. 89).

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

  11. Multi-period Trading Prediction Markets with Connections to Machine Learning

    Hu, J. & Storkey, A., 2014, Proceedings of ICML 2014. Journal of Machine Learning Research: Workshop and Conference Proceedings, Vol. 32. p. 1773-1781 9 p.

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