Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2019
  2. Geometric fluid approximation for general continuous-time Markov chains

    Michaelides, M., Hillston, J. & Sanguinetti, G., 11 Sep 2019, In : Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 25 p.

    Research output: Contribution to journalArticle

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

    Radu, V. & Henne, M., 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

  4. 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

  5. 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

  6. Complexity Leadership in Learning Analytics: Drivers, Challenges, and Opportunities

    Tsai, Y-S., Poquet, O., Gašević, D., Dawson, S. & Pardo, A., 16 Jul 2019, In : British Journal of Educational Technology. 16 p.

    Research output: Contribution to journalArticle

  7. Riboswitch identification using Ligase-Assisted Selection for the Enrichment of Responsive Ribozymes (LigASERR)

    Haines, M. C., Storch, M., Oyarzún, D. A., Stan, G-B. & Baldwin, G. S., 8 Jul 2019, In : Synthetic Biology.

    Research output: Contribution to journalArticle

  8. BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

    Cooper Stickland, A. & Murray, I., 3 Jul 2019, Proceedings of the 36th International Conference on Machine Learning (ICML). Chaudhuri, K. & Salakhutdinov, R. (eds.). Long Beach, USA: PMLR, Vol. 97. p. 5986-5995 12 p. (PMLR; vol. 97).

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

  9. GEMSEC: Graph Embedding with Self Clustering

    Rózemberczki, B., Davies, R., Sarkar, R. & Sutton, C., 20 Jun 2019, (Accepted/In press) Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2019. 8 p.

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

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

    Whitelock-Wainwright, A., Gasevic, D., Tejeiro, R., Tsai, Y-S. & Bennett, K., 18 Jun 2019, In : Journal of Computer Assisted Learning. 79 p.

    Research output: Contribution to journalArticle

  11. Cubic-Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 15 Jun 2019, First workshop on Invertible Neural Networks and Normalizing Flows: at ICML 2019. 7 p.

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

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