Edinburgh Research Explorer

Institute of Perception, Action and Behaviour

Organisational unit: Research Institute

  1. 2019
  2. Cirrhosis liver classification on B-mode ultrasound images by convolution neural networks with augmented images

    Mitani, Y., Fisher, R., Fujita, Y., Hamamoto, Y. & Sakaida, I., 26 Jul 2019, (Accepted/In press) Proceedings of the 2019 International Conference on Machine Learning and Machine Intelligence. ACM, 5 p.

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

  3. Disjoint Label Space Transfer Learning with Common Factorised Space

    Chang, X., Yang, Y., Xiang, T. & Hospedales, T., 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: Machine Learning. Honolulu, Hawaii, United States: AAAI Press, Vol. 33. p. 3288-3295 8 p. (Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence; vol. 33, no. 1).

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

  4. From skylight input to behavioural output: A computational model of the insect polarised light compass

    Gkanias, E., Risse, B., Mangan, M. & Webb, B., 18 Jul 2019, In : PLoS Computational Biology. 15, 7, e1007123.

    Research output: Contribution to journalArticle

  5. DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL

    Angelov, D., Hristov, Y. & Ramamoorthy, S., 10 Jul 2019, Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) Proceedings. 5 p.

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

  6. Modelling the mechanics of exploration in larval Drosophila

    Loveless, J., Lagogiannis, K. & Webb, B., 5 Jul 2019, In : PLoS Computational Biology. 15, 7, e1006635.

    Research output: Contribution to journalArticle

  7. Analogies Explained: Towards Understanding Word Embeddings

    Allen, C. & Hospedales, T., 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. 223-231 9 p.

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

  8. Feature-Critic Networks for Heterogeneous Domain Generalisation

    Li, Y., Yang, Y., Zhou, W. & Hospedales, T., 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. 3915-3924 10 p.

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

  9. 3D Visual Passcode: Speech-driven 3D Facial Dynamics for Behaviometrics

    Zhang, J. & Fisher, R., Jul 2019, In : Signal Processing. 160, p. 164-177 38 p.

    Research output: Contribution to journalArticle

  10. Bayesian Optimization for Whole-Body Control of High Degrees of Freedom Robots through Reduction of Dimensionality

    Yuan, K., Chatzinikolaidis, I. & Li, Z., Jul 2019, In : IEEE Robotics and Automation Letters. 4, 3, 8 p.

    Research output: Contribution to journalArticle

  11. Reasoning on Grasp-Action Affordances

    Ardón, P., Pairet, È., Petrick, R., Ramamoorthy, S. & Lohan, K., 28 Jun 2019, Annual Conference Towards Autonomous Robotic Systems (TAROS). Althoefer, K., Konstantinova, J. & Zhang, K. (eds.). Springer, Cham, p. 3-15 13 p. (Lecture Notes in Computer Science (LNCS) Towards Autonomous Robotic Systems; vol. 11649).

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

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