Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. Suboptimal triangular controller design methodology for full MIMO stable systems

    Oyarzun, DA. & Salgado, M. E., 2006, Proceedings of the UKACC Conference. Glasgow, UK, 6 p.

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

  3. Suggesting Accurate Method and Class Names

    Allamanis, M., Barr, E. T., Bird, C. & Sutton, C., 2015, Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering. ACM, p. 38-49 12 p.

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

  4. Summarizing Software API Usage Examples using Clustering Techniques

    Katirtzis, N., Diamantopoulos, T. & Sutton, C., 2018, Proceedings of the 21st International Conference on Fundamental Approaches to Software Engineering. Thessaloniki, Greece: Springer, Cham, Vol. 10802. p. 189-206 17 p. (Lecture Notes in Computer Science (LNCS); vol. 10802).

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

  5. Synaptic Rewiring for Topographic Map Formation

    Bamford, S., Murray, A. & Willshaw, D. J., 3 Sep 2008, International Conference on Artificial Neural Networks (ICANN). p. 218-227 10 p.

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

  6. Synthesizing realistic neural population activity patterns using Generative Adversarial Networks

    Molano-Mazon, M., Onken, A., Piasini, E. & Panzeri, S., 3 May 2018, International Conference on Learning Representations 2018. 24 p.

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

  7. TASSAL: Autofolding for Source Code Summarization

    Fowkes, J., Chanthirasegaran, P., Ranca, R., Allamanis, M., Lapata, M. & Sutton, C., May 2016, ICSE '16 Proceedings of the 38th International Conference on Software Engineering Companion. ACM, p. 649-652 4 p.

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

  8. 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

  9. 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

  10. Temporal Logic Based Monitoring of Assisted Ventilation in Intensive Care Patients

    Bufo, S., Bartocci, E., Sanguinetti, G., Borelli, M., Lucangelo, U. & Bortolussi, L., 2014, Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications: 6th International Symposium, ISoLA 2014, Imperial, Corfu, Greece, October 8-11, 2014, Proceedings, Part II. Margaria, T. & Steffen, B. (eds.). Berlin, Heidelberg: Springer Berlin Heidelberg, p. 391-403 13 p. (Lecture Notes in Computer Science; vol. 8803).

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

  11. The 2005 PASCAL visual object classes challenge

    Everingham, M., Zisserman, A., Williams, C. K. I., Van Gool, L., Allan, M., Bishop, C. M., Chapelle, O., Dalal, N., Deselaers, T., Dorko, G., Duffner, S., Eichhorn, J., Farquhar, J. D. R., Fritz, M., Garcia, C., Griffiths, T., Jurie, F., Keysers, D., Koskela, M., Laaksonen, J. & 14 others, Larlus, D., Leibe, B., Meng, H., Ney, H., Schiele, B., Schmid, C., Seemann, E., Shawe-Taylor, J., Storkey, A., Szedmak, S., Triggs, B., Ulusoy, I., Viitaniemi, V. & Zhang, J., 2006, Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment . Quinonero-Candela, J., Dagan, Magnini, B. & D'Alche-Buc, F. (eds.). Berlin: Springer-Verlag Berlin Heidelberg, p. 117-176 60 p. (Lecture Notes in Computer Science; vol. 3944).

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