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A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation (2020)
Conference Proceeding
Neri, F., & Rostami, S. (in press). A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation

Pattern Search is a family of optimisation algorithms that improve upon an initial solution by performing moves along the directions of a basis of vectors. In its original definition Pattern Search moves along the directions of each variable. Amongst... Read More about A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation.

A Local Search with a Surrogate Assisted Option for Instance Reduction (2020)
Conference Proceeding
Neri, F., & Triguero, I. (in press). A Local Search with a Surrogate Assisted Option for Instance Reduction

In data mining, instance reduction is a key data pre-processing step that simplifies and cleans raw data, by either selecting or creating new samples, before applying a learning algorithm. This usually yields to a complex large scale and computationa... Read More about A Local Search with a Surrogate Assisted Option for Instance Reduction.

"It's small talk, jim, but not as we know it.": engendering trust through human-agent conversation in an autonomous, self-driving car (2019)
Conference Proceeding
Large, D. R., Clark, L., Burnett, G., Harrington, K., Luton, J., Thomas, P., & Bennett, P. (2019). "It's small talk, jim, but not as we know it.": engendering trust through human-agent conversation in an autonomous, self-driving car. In CUI '19 Proceedings of the 1st International Conference on Conversational User Interfaces Article No. 22https://doi.org/10.1145/3342775.3342789

The use of speech has been popularised as a human-vehicle interface in the automotive domain. While this is most often associated with alleviating concerns of driver distraction and cognitive load, the study explores whether the presence of conversat... Read More about "It's small talk, jim, but not as we know it.": engendering trust through human-agent conversation in an autonomous, self-driving car.

Comparison of transmission loss prediction using condensed equivalent plate models (2019)
Conference Proceeding
Uthayasuriyan, A., Chevillotte, F., Luc, J., Chronopoulos, D., & Gourdon, E. (2019). Comparison of transmission loss prediction using condensed equivalent plate models. In Proceedings of the ICA 2019 and EAA Euroregio 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019, 9 - 13 September 2019, Aachen, Germany, 273-280

Equivalent plate models are commonly used in order to simulate multilayer system as one single layer. This kind of approach enables for instance to reduce the mesh size and thus the number of degrees of freedom in finite element models. Usual condens... Read More about Comparison of transmission loss prediction using condensed equivalent plate models.

Lessons from Oz: design guidelines for automotive conversational user interfaces (2019)
Conference Proceeding
Large, D. R., Burnett, G., & Clark, L. (2019). Lessons from Oz: design guidelines for automotive conversational user interfaces. In AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings, 335-340. https://doi.org/10.1145/3349263.3351314

This paper draws from literature and our experience of conducting Wizard-of-Oz (WoZ) studies using natural language, conversational user interfaces (CUIs) in the automotive domain. These studies have revealed positive effects of using in-vehicle CUIs... Read More about Lessons from Oz: design guidelines for automotive conversational user interfaces.

Sensory Alignment in Immersive Entertainment (2019)
Conference Proceeding
Marshall, J., Benford, S., Byrne, R., & Tennent, P. (2019). Sensory Alignment in Immersive Entertainment. In CHI '19 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systemshttps://doi.org/10.1145/3290605.3300930

When we use digital systems to stimulate the senses, we typically stimulate only a subset of users' senses, leaving other senses stimulated by the physical world. This creates potential for misalignment between senses, where digital and physical stim... Read More about Sensory Alignment in Immersive Entertainment.

The use of free-space microwave non-destructive techniques: simulation of damage detection in carbon fibre reinforced composites (2019)
Conference Proceeding
Munalli, D., Dimitrakis, G., Chronopoulos, D., Greedy, S., & Long, A. (2019). The use of free-space microwave non-destructive techniques: simulation of damage detection in carbon fibre reinforced composites

Microwave non-destructive testing (MNDT) methods represent an effective solution in detecting defects within composite structures with relatively low electrical conductivity. They offer the advantage to overcome the problems of traditional NDT techni... Read More about The use of free-space microwave non-destructive techniques: simulation of damage detection in carbon fibre reinforced composites.

MeMa: Designing the Memory Machine (2019)
Conference Proceeding
Price, D., Jacobs, R., Darzentas, D., Perez Vallejos, E., Chadborn, N., Martindale, S., & Urquhart, L. (2019). MeMa: Designing the Memory Machine. In Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion, 271--276. doi:10.1145/3301019.3323882

The Memory Machine is an ambitious project that aims to develop a device to capture people's memories to create a blend of personal and factual data that builds identities, and contextualizes personal recollections. The Memory Machine has been guided... Read More about MeMa: Designing the Memory Machine.

Healing runes (2019)
Conference Proceeding
Jesch, J., & Lee, C. (2019). Healing runes. In Viking Encounters: Proceedings of the 18th Viking Congress

Invariance and identifiability issues for word embeddings (2019)
Conference Proceeding
Carrington, R., Bharath, K., & Preston, S. (2019). Invariance and identifiability issues for word embeddings. In Advances in Neural Information Processing Systems 32 (NIPS 2019)

Word embeddings are commonly obtained as optimisers of a criterion function f of 1 a text corpus, but assessed on word-task performance using a different evaluation 2 function g of the test data. We contend that a possible source of disparity in 3 pe... Read More about Invariance and identifiability issues for word embeddings.

The AIR model (Activities, Internal world, Relationships): a pragmatic framework for evaluating co-design (2019)
Conference Proceeding
Gosling, J., Craven, M. P., Dening, T., Coleston-Shields, D., Aberturas, A. G., Martín, S. G., …Abrilahij, A. (2019). The AIR model (Activities, Internal world, Relationships): a pragmatic framework for evaluating co-design. In K. Niedderrer, G. Ludden, R. Cain, & C. Wölfel (Eds.),

A pragmatic model, AIR (Activities; Internal world; Relationships), is presented for co-design of technologies and products to support well-being of people living with dementia. This model, co-developed with people with lived experience, is aimed at... Read More about The AIR model (Activities, Internal world, Relationships): a pragmatic framework for evaluating co-design.

Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers (2019)
Conference Proceeding
Wang, Y., Papangelis, K., Khan, V., Lykourentzou, I., Chamberlain, A., & Saker, M. (in press). Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers

Recent research highlights the potential of crowdsourcing in China. Yet very few studies explore the workplace context and experiences of Chinese crowdworkers. Those that do, focus mainly on the work experiences of solo crowdworkers but do not deal w... Read More about Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers.

Surrogate Thermal Model for Power Electronic Modules using Artificial Neural Network (2019)
Conference Proceeding
Xu, Z., Gao, Y., Wang, X., Tao, X., & Xu, Q. (2019). Surrogate Thermal Model for Power Electronic Modules using Artificial Neural Network. In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Societyhttps://doi.org/10.1109/IECON.2019.8927494

Virtual prototyping of power electronic modules aims to allow rapid evaluation of potential designs without building and testing physical prototypes. Among the interests in thermal models of the virtual modules, process of compact thermal models need... Read More about Surrogate Thermal Model for Power Electronic Modules using Artificial Neural Network.

Technique for Processing of Continuous Carbon Fibre Reinforced PEEK for Fused Filament Fabrication (2019)
Conference Proceeding
Pu, J., Saleh, E., Ashcroft, I., & Jones, A. (2019). Technique for Processing of Continuous Carbon Fibre Reinforced PEEK for Fused Filament Fabrication

3D printing of light-weight and mechanically-strong structures facilitates several applications. 3D printing of continuous carbon fibre reinforced polyetheretherketone (PEEK) presents exciting possibilities as the high stiffness and strength of the h... Read More about Technique for Processing of Continuous Carbon Fibre Reinforced PEEK for Fused Filament Fabrication.

Information Retrieval for Evidence-Based Policy Making applied to Lifelong Learning (2019)
Conference Proceeding
Clos, J., Qu, R., & Atkin, J. (2019). Information Retrieval for Evidence-Based Policy Making applied to Lifelong Learning. https://doi.org/10.1007/978-3-030-34885-4_41

Policy making involves an extensive research phase during which existing policies which are similar to the one under development need to be retrieved and analysed. This phase is time-consuming for the following reasons: (i) there is no unified format... Read More about Information Retrieval for Evidence-Based Policy Making applied to Lifelong Learning.

Clinical Scene Segmentation with Tiny Datasets (2019)
Conference Proceeding
Smith, T. J., Sharkey, D., Crowe, J., & Valstar, M. (2019). Clinical Scene Segmentation with Tiny Datasets. In Proceedings of IEEE 17th International Conference on Computer Vision (ICCV 2019)

Many clinical procedures could benefit from automatic scene segmentation and subsequent action recognition. Using Convolutional Neural Networks to semantically segment meaningful parts of an image or video is still an unsolved problem. This becomes e... Read More about Clinical Scene Segmentation with Tiny Datasets.

Dynamic Facial Models for Video-based Dimensional Affect Estimation (2019)
Conference Proceeding
Song, S., Sánchez-Lozano, E., Kumar Tellamekala, M., Shen, L., Johnston, A., & Valstar, M. (2019). Dynamic Facial Models for Video-based Dimensional Affect Estimation

Dimensional affect estimation from a face video is a challenging task, mainly due to the large number of possible facial displays made up of a set of behaviour primitives including facial muscle actions. The displays vary not only in composition but... Read More about Dynamic Facial Models for Video-based Dimensional Affect Estimation.

Bayesian damage characterization based on probabilistic model of scattering coefficients and hybrid wave finite element model scheme (2019)
Conference Proceeding
Yan, W., Chronopoulos, D., Papadimitriou, C., Cantero-Chinchilla, S., & Zhu, G. (2019). Bayesian damage characterization based on probabilistic model of scattering coefficients and hybrid wave finite element model scheme. In COMPDYN 2019 : Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. Volume 2, (2952-2958)

Ultrasonic Guided Wave(GW) has been proven to be sensitive to small damage. Motivated by the fact that the quantitative relationship between wave scattering and damage intensity can be described by scattering properties, this study aims at proposing... Read More about Bayesian damage characterization based on probabilistic model of scattering coefficients and hybrid wave finite element model scheme.