Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. The privacy paradox and its implications for learning analytics

    Tsai, Y-S., Whitelock-Wainwright, A. & 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

  3. The shape variational autoencoder: A deep generative model of part-segmented 3D objects

    Nash, C. & Williams, C. K. I., Aug 2017, Symposium on Geometry Processing (SGP 2017). 11 p.

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

  4. The use of data-mining for the automatic formation of tactics

    Duncan, H., Bundy, A., Levine, J., Storkey, A. & Pollet, M., 2004, Computer-Supported Mathematical Theory Development’04.

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

  5. Topographic Analysis of Correlated Components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A., 2012, Proc. Asian Conference on Machine Learning (ACML). Journal of Machine Learning Research - Proceedings Track, p. 365-378 14 p. 25

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

  6. Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices

    Radu, V., Lane, N. D., Bhattacharya, S., Mascolo, C., Marina, M. K. & Kawsar, F., 12 Sep 2016, Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. New York, NY, USA: ACM, p. 185-188 4 p. (UbiComp '16).

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

  7. Towards a Neural Statistician

    Edwards, H. & Storkey, A., 26 Apr 2017, 5th International Conference on Learning Representations (ICLR 2017). 13 p.

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

  8. Tracking of Individual Mice in a Social Setting Using Video Tracking Combined with RFID tags

    Armstrong, J. D., Acevedo-Arozena, A., Bains, R. S., Cater, H., Chartsias, A., Nolan, P., Sneddon, D., Sillito, R. & Wells, S., 25 May 2016, Proceedings of Measuring Behavior 2016: 10th International Conference on Methods and Techniques in Behavioral Research. Spink, A. J., Riedel, G., Zhou, L., Teekens, L., Albatal, R. & Gurrin, C. (eds.). Dublin, Ireland, p. 413-416 4 p.

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

  9. Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities

    Adams, R. P., Murray, I. & MacKay, D. J. C., 2009, Proceedings of the 26th International Conference on Machine Learning. 8 p.

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

  10. Training Deep Convolutional Neural Networks to Play Go

    Clark, C. & Storkey, A., 2015, Proceedings of the 32nd International Conference on Machine Learning (IMCL 2015). Lille, France: PMLR, Vol. 37. p. 1766-1774 9 p.

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

  11. Transformation Equivariant Boltzmann Machines

    Kivinen, J. J. & Williams, C. K. I., 2011, Artificial Neural Networks and Machine Learning - ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. Honkela, T., Duch, W., Girolami, M. & Kaski, S. (eds.). Springer-Verlag GmbH, p. 1-9 9 p. (Lecture Notes in Computer Science; vol. 6791).

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