Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2019
  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. Parametric copula models reveal neuronal and behavioral time-dependent relationships in primary visual cortex

    Kudryashova, N., Amvrosiadis, T., Dupuy, N., Rochefort, N. & Onken, A., 19 Sep 2019. 1 p.

    Research output: Contribution to conferencePoster

  4. Policy Matters: Expert Recommendations for Learning Analytics Policy

    Scheffel, M., Tsai, Y-S., Gasevic, D. & Drachsler, H., 9 Sep 2019, Transforming Learning with Meaningful Technologies. EC-TEL 2019.. Springer, p. 510-524 15 p. (Lecture Notes in Computer Science; vol. 11722).

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

  5. Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition

    Radu, V. & Henne, M., 9 Sep 2019, In : PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3, 3, p. 84:1-84:21 21 p., 84.

    Research output: Contribution to journalArticle

  6. 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., 4 Sep 2019, (Accepted/In press) Advances in Neural Information Processing Systems 32 (NIPS 2019). Neural Information Processing Systems, Vol. 32. 23 p.

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

  7. Neural Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 3 Sep 2019, (Accepted/In press) Advances in Neural Information Processing Systems 32 (NeurIPS 2019). Neural Information Processing Systems, 18 p.

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

  8. Geometric fluid approximation for general continuous-time Markov chains

    Michaelides, M., Hillston, J. & Sanguinetti, G., Sep 2019, In : Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 475, 2229, 25 p.

    Research output: Contribution to journalArticle

  9. Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

    Radu, V., Kaszyk, J., Wen, Y., Turner, J., Cano, J., Crowley, E., Franke, B., Storkey, A. & O'Boyle, M., 15 Aug 2019, (Accepted/In press) 2019 IEEE International Symposium on Workload Characterization (IISWC). IEEE, 11 p.

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

  10. Acquisition of visual priors and induced hallucinations in chronic schizophrenia

    Valton, V., Karvelis, P., Richards, K., Seitz, A. R., Lawrie, S. & Series, P., Aug 2019, In : Brain. 142, 8, p. 2523–2537 35 p., awz171.

    Research output: Contribution to journalArticle

  11. ColNet: Embedding the Semantics of Web Tables for Column Type Prediction

    Chen, J., Jiménez-Ruiz, E., Horrocks, I. & Sutton, C., 23 Jul 2019, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19): Thirty-First Conference on Innovative Applications of Artificial Intelligence The Ninth Symposium on Educational Advances in Artificial Intelligence - AAAI Technical Track: AI and the Web. Honolulu, Hawaii, United States: AAAI Press, Vol. 33. p. 29-36 8 p. (Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence).

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

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