Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Biologically-inspired object recognition system for recognizing natural scene categories

    Alameer, A., Degenaar, P. & Nazarpour, K., 9 Jan 2017, 2016 International Conference for Students on Applied Engineering (ICSAE). Institute of Electrical and Electronics Engineers (IEEE), p. 129-132 4 p.

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

  2. An elastic net-regularized HMAX model of visual processing

    Alameer, A., Ghazaei, G., Degenaar, P. & Nazarpour, K., 2 Dec 2015, 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). IET, p. 1-4 4 p.

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

  3. Objects and scenes classification with selective use of central and peripheral image content

    Alameer, A., Degenaar, P. & Nazarpour, K., 9 Jan 2020, In: Journal of visual communication and image representation. 66, 11 p., 102698.

    Research output: Contribution to journalArticlepeer-review

  4. Context-Based Object Recognition: Indoor Versus Outdoor Environments

    Alameer, A., Degenaar, P. & Nazarpour, K., 24 Apr 2019, Advances in Computer Vision. Arai, K. & Kapoor, S. (eds.). Cham: Springer International Publishing AG, p. 473-490 18 p. (Advances in Intelligent Systems and Computing; vol. 944).

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

  5. Processing occlusions using elastic-net hierarchical MAX model of the visual cortex

    Alameer, A., Degenaar, P. & Nazarpour, K., 8 Aug 2017, 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA). Institute of Electrical and Electronics Engineers (IEEE), p. 163-167 5 p.

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

  6. Synaptic interactome mining reveals p140Cap as a new hub for PSD proteins involved in psychiatric and neurological disorders

    Alfieri, A., Sorokina, O., Adrait, A., Angelini, C., Russo, I., Morellato, A., Matteoli, M., Menna, E., Erba, E. B., McLean, C., Armstrong, J. D., Ala, U., Buxbaum, J. D., Brusco, A., Couté, Y., De Rubeis, S., Turco, E. & Defilippi, P., 30 Jun 2017, In: Frontiers in Molecular Neuroscience. 10, p. 1-15 15 p., 212.

    Research output: Contribution to journalArticlepeer-review

  7. Effects of ambient luminance on retinal information coding

    Alizadeh, A., Onken, A., Mutter, M., Münch, T. & Panzeri, S., 14 Sep 2017. 2 p.

    Research output: Contribution to conferenceAbstractpeer-review

  8. Mining Idioms from Source Code

    Allamanis, M. & Sutton, C., 2014, Proceedings of the 22Nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. New York, NY, USA: ACM, p. 472-483 12 p.

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

  9. A Survey of Machine Learning for Big Code and Naturalness

    Allamanis, M., Barr, E. T., Devanbu, P. & Sutton, C., 31 Jul 2018, In: ACM Computing Surveys. 51, 4, 36 p., 81.

    Research output: Contribution to journalArticlepeer-review

  10. Learning Natural Coding Conventions

    Allamanis, M., Barr, E. T., Bird, C. & Sutton, C., 11 Nov 2014, Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. New York, NY, USA: ACM, p. 281-293 13 p.

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

  11. Why, when, and what: Analyzing Stack Overflow questions by topic, type, and code

    Allamanis, M. & Sutton, C., 2013, Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 53-56 4 p.

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

  12. Learning Continuous Semantic Representations of Symbolic Expressions

    Allamanis, M., Chanthirasegaran, P., Kohli, P. & Sutton, C., 11 Aug 2017, The 34th International Conference on Machine Learning (ICML 2017). Sydney, Australia: PMLR, Vol. 70. p. 80-88 9 p. (Proceedings of Machine Learning Research; vol. 70).

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

  13. 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

  14. Mining source code repositories at massive scale using language modeling

    Allamanis, M. & Sutton, C., 2013, Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 207-216 10 p.

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

  15. Mining Semantic Loop Idioms

    Allamanis, M., Barr, E. T., Bird, C., Devanbu, P., Marron, M. & Sutton, C., 1 Jul 2018, In: IEEE Transactions on Software Engineering. 44, 7, 18 p.

    Research output: Contribution to journalArticlepeer-review

  16. A Convolutional Attention Network for Extreme Summarization of Source Code

    Allamanis, M., Peng, H. & Sutton, C., 24 Jun 2016, Proceedings of The 33rd International Conference on Machine Learning, PMLR. New York, United States: PMLR, Vol. 48. p. 2091-2100 10 p. (Proceedings of Machine Learning Research; vol. 48).

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

  17. Object localisation using the Generative Template of Features

    Allan, M. & Williams, C. K. I., Jul 2009, In: Computer Vision and Image Understanding. 113, 7, p. 824-838 15 p.

    Research output: Contribution to journalArticlepeer-review

  18. Harmonising chorales by probabilistic inference

    Allan, M. & Williams, C. K. I., 2005, Advances in Neural Information Processing Systems 17 (NIPS 2004). MIT Press, p. 25-32 8 p.

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

  19. Fast Learning of Sprites using Invariant

    Allan, M., Titsias, M. K. & Williams, C. K. I., 2005, Proceedings of the British Machine Vision Conference 2005. BMVA Press, 10 p.

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

  20. The Effects of Ectopic White and Transformer Expression on Drosophila Courtship Behavior

    An, X., Armstrong, J. D., Kaiser, K. & O'Dell, K. M. C., 2000, In: Journal of neurogenetics. 14, 4, p. 227-243 17 p.

    Research output: Contribution to journalArticlepeer-review

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