Skip to main content

Research Repository

Advanced Search

Outputs (233)

Realisability of production recipes (2016)
Presentation / Conference Contribution
de Silva, L., Felli, P., Chaplin, J. C., Logan, B., Sanderson, D., & Ratchev, S. (2016, August). Realisability of production recipes. Presented at 22nd European Conference in Artificial Intelligence (ECAI 2016), The Hague, The Netherlands

There is a rising demand for customised products with a high degree of complexity. To meet these demands, manufacturing lines are increasingly becoming autonomous, networked, and intelligent, with production lines being virtualised into a manufacturi... Read More about Realisability of production recipes.

Measuring agreement on linguistic expressions in medical treatment scenarios (2016)
Presentation / Conference Contribution
Navarro, J., Wagner, C., Aickelin, U., Green, L., & Ashford, R. (2016, December). Measuring agreement on linguistic expressions in medical treatment scenarios. Presented at 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece

Quality of life assessment represents a key process of deciding treatment success and viability. As such, patients’ perceptions of their functional status and well-being are important inputs for impairment assessment. Given that patient completed que... Read More about Measuring agreement on linguistic expressions in medical treatment scenarios.

A disaster response system based on human-agent collectives (2016)
Journal Article
Ramchurn, S. D., Huynh, T. D., Wu, F., Ikuno, Y., Flann, J., Moreau, L., Fischer, J. E., Jiang, W., Rodden, T., Simpson, E., Reece, S., Roberts, S., & Jennings, N. R. (2016). A disaster response system based on human-agent collectives. Journal of Artificial Intelligence Research, 57, 661-708. https://doi.org/10.1613/jair.5098

Major natural or man-made disasters such as Hurricane Katrina or the 9/11 terror attacks pose significant challenges for emergency responders. First, they have to develop an understanding of the unfolding event either using their own resources or thr... Read More about A disaster response system based on human-agent collectives.

Supporting data for "Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping" (2016)
Data
(2016). Supporting data for "Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping". [Data]. https://doi.org/10.5524/100343

In plant phenotyping, it has become important to be able to measure many features on large image sets in order to aid genetic discovery. The size of the datasets, now often captured robotically, often precludes manual inspection; hence the motivation... Read More about Supporting data for "Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping".

Dynamic programming with approximation function for nurse scheduling (2016)
Journal Article
Shi, P., & Landa-Silva, D. (2016). Dynamic programming with approximation function for nurse scheduling. Lecture Notes in Artificial Intelligence, 10122, 269-280. https://doi.org/10.1007/978-3-319-51469-7_23

Although dynamic programming could ideally solve any combinatorial optimization problem, the curse of dimensionality of the search space seriously limits its application to large optimization problems. For example, only few papers in the literature h... Read More about Dynamic programming with approximation function for nurse scheduling.

A scheme for determining vehicle routes based on Arc-based service network design (2016)
Journal Article
Jiang, X., Bai, R., Atkin, J., & Kendall, G. (2017). A scheme for determining vehicle routes based on Arc-based service network design. Information Systems and Operational Research, 55(1), 16-37. https://doi.org/10.1080/03155986.2016.1262580

In freight transportation, less-than-truckload carriers often need to assign each vehicle a cyclic route so that drivers can come back home after a certain period of time. However, the Node-Arc model for service network design addresses decisions on... Read More about A scheme for determining vehicle routes based on Arc-based service network design.

Fast and exact Newton and bidirectional fitting of Active Appearance Models (2016)
Journal Article
Kossaifi, J., Tzimiropoulos, G., & Pantic, M. (2017). Fast and exact Newton and bidirectional fitting of Active Appearance Models. IEEE Transactions on Image Processing, 26(2), 1040 - 1053. https://doi.org/10.1109/TIP.2016.2642828

Active Appearance Models (AAMs) are generative models of shape and appearance that have proven very attractive for their ability to handle wide changes in illumination, pose and occlusion when trained in the wild, while not requiring large training d... Read More about Fast and exact Newton and bidirectional fitting of Active Appearance Models.

Interacting with robots as performers and producers of music (2016)
Presentation / Conference Contribution
Chamberlain, A., Page, K., De Roure, D., & Klyne, G. Interacting with robots as performers and producers of music. Presented at Digital Music Research Network 11 - DMRN+11

Is it really so strange to think about a robot as something, or perhaps someone that can produce music, as a performer or even as a composer? What happens when robots perform on stage to live audiences, and when they are perceived as intelligent? In... Read More about Interacting with robots as performers and producers of music.