Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2019
  2. Perceptions and expectation about Learning Analytics from a Brazilian Higher Education Institution

    Pontual, T., Ferreira Mello, R., Lins, R., Diniz, J., Tsai, Y-S. & 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 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

  4. Statistical abstraction for multi-scale spatio-temporal systems

    Michaelides, M., Hillston, J. & Sanguinetti, G., 10 Dec 2019, In : ACM Transactions on Modeling and Computer Simulation. 29, 4, p. 22:1-22:29 29 p., 22.

    Research output: Contribution to journalArticle

  5. Neural Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NeurIPS 2019). Curran Associates Inc, Vol. 32. p. 7509-7520 12 p.

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

  6. Scalable Extreme Deconvolution

    Ritchie, J. & Murray, I., 14 Dec 2019. 7 p.

    Research output: Contribution to conferencePoster

  7. Teaching Multiple Concepts to a Forgetful Learner

    Hunziker, A., Chen, Y., Mac Aodha, O., Gomez Rodriguez, M., Krause, A., Perona, P., Yue, Y. & Singla, A., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). Curran Associates Inc, Vol. 32. p. 4050-4060 23 p.

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

  8. Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification

    Breier, B. & Onken, A., 20 Dec 2019, Proceedings of the International Conference on Learning Representations, 2020. Addis Ababa, Ethiopia

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

  9. Parameter estimation for biochemical reaction networks using Wasserstein distances

    Öcal, K., Grima, R. & Sanguinetti, G., 23 Dec 2019, In : Journal of Physics A: Mathematical and Theoretical. 53, 3, p. 1-23 24 p., 034002.

    Research output: Contribution to journalArticle

  10. Multiobjective optimization of gene circuits for metabolic engineering

    Otero-Muras, I., Mannan, A. A., Banga, J. R. & Oyarzún, D. A., 26 Dec 2019, In : IFAC-PapersOnLine. 52, 26, p. 13-16 4 p.

    Research output: Contribution to journalArticle

  11. 2020
  12. Assessing the validity of a learning analytics expectation instrument: A multinational study

    Whitelock-Wainwright, A., Gasevic, D., Tsai, Y-S., Drachsler, H., Scheffel, M., Muñoz-Merino, P., Tammets, K. & Delgado Kloos, C., 14 Jan 2020, In : Journal of Computer Assisted Learning. p. 1-32 32 p.

    Research output: Contribution to journalArticle