Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2019
  2. Using BRIE to Detect and Analyze Splicing Isoforms in scRNA-Seq Data

    Huang, Y. & Sanguinetti, G., 2019, Computational Methods for Single-Cell Data Analysis. Yuan, G-C. (ed.). New York, NY: Springer New York LLC, p. 175-185 11 p. (Methods in Molecular Biology; vol. 1935).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  3. 2018
  4. Context Embedding Networks

    Kim, K. H., Mac Aodha, O. & Perona, P., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 8679-8687 9 p.

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

  5. Teaching Categories to Human Learners with Visual Explanations

    Mac Aodha, O., Su, S., Chen, Y., Perona, P. & Yue, Y., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 3820-3828 9 p.

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

  6. The iNaturalist Species Classification and Detection Dataset

    Van Horn, G., Mac Aodha, O., Song, Y., Cui, Y., Sun, C., Shepard, A., Adam, H., Perona, P. & Belongie, S., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 8769-8778 10 p.

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

  7. Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

    Turner, J., Cano Reyes, J., Radu, V., Crowley, E., O'Boyle, M. & Storkey, A., 13 Dec 2018, Proceedings of the - Workload Characterization (IISWC), 2018 IEEE International Symposium on. Raleigh, North Carolina, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 101-110 10 p.

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

  8. The SHEILA framework: informing institutional strategies and policy processes of learning analytics

    Tsai, Y-S., Moreno-Marcos, P. M., Jivet, I., Scheffel, M., Tammets, K., Kollom, K. & Gasevic, D., 11 Dec 2018, In : Journal of Learning Analytics. 5, 3, p. 5-20 16 p.

    Research output: Contribution to journalArticle

  9. Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners

    Chen, Y., Singla, A., Mac Aodha, O., Perona, P. & Yue, Y., 8 Dec 2018, Advances in Neural Information Processing Systems 31. Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. & Garnett, R. (eds.). Neural Information Processing Systems, Vol. 31. p. 1476-1486 11 p.

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

  10. Non-parametric Physiological Classification of Retinal Ganglion Cells in the Mouse Retina

    Jouty, J., Hilgen, G., Sernagor, E. & Hennig, M. H., 7 Dec 2018, In : Frontiers in Cellular Neuroscience. 12, 14 p., 481.

    Research output: Contribution to journalArticle

  11. SHEILA: Supporting Higher Education to Intergrate Learning Analytics Research Report

    Tsai, Y-S., Gasevic, D., Whitelock-Wainwright, A., Muñoz-Merino, P. J., Moreno-Marcos, P. M., Rubio Fernández, A., Delgado Kloos, C., Scheffel, M., Jivet, I., Drachsler, H., Tammets, K., Calleja, A. R., Kollom, K., Haywood, J., Cantero, N., Gourdin, A., Kelo, M. & Benke-Åberg, R., 30 Nov 2018, Edinburgh, UK: The University of Edinburgh. 44 p.

    Research output: Book/ReportOther report

  12. Mirror Neurons, Prediction and Hemispheric Coordination; The Prioritizing of Intersubjectivity over 'Intrasubjectivity'

    Shillcock, R., Thomas, J. & Bailes, R., 24 Nov 2018, In : Axiomathes. p. 1-15 15 p.

    Research output: Contribution to journalArticle

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