Outputs (130)

Breaching the Future: Understanding Human Challenges of Autonomous Systems for the Home (2019)
Journal Article
Nilsson, T., Crabtree, A., Fischer, J., & Koleva, B. (2019). Breaching the Future: Understanding Human Challenges of Autonomous Systems for the Home. Personal and Ubiquitous Computing, 23(2), 287–307. https://doi.org/10.1007/s00779-019-01210-7

The domestic environment is a key area for the design and deployment of autonomous systems. Yet research indicates their adoption is already being hampered by a variety of critical issues including trust, privacy and security. This paper explores how... Read More about Breaching the Future: Understanding Human Challenges of Autonomous Systems for the Home.

An Efficient Application of Goal Programming to Tackle Multiobjective Problems with Recurring Fitness Landscapes (2019)
Book Chapter
Pinheiro, R. L., Landa-Silva, D., Laesanklang, W., & Constantino, A. A. (2019). An Efficient Application of Goal Programming to Tackle Multiobjective Problems with Recurring Fitness Landscapes. In Operations Research and Enterprise Systems (134-152). Springer Verlag. https://doi.org/10.1007/978-3-030-16035-7_8

© 2019, Springer Nature Switzerland AG. Many real-world applications require decision-makers to assess the quality of solutions while considering multiple conflicting objectives. Obtaining good approximation sets for highly constrained many-objective... Read More about An Efficient Application of Goal Programming to Tackle Multiobjective Problems with Recurring Fitness Landscapes.

Adaptive Architecture and Personal Data (2019)
Journal Article
Schnädelbach, H., Jäger, N., & Urquhart, L. (2019). Adaptive Architecture and Personal Data. ACM Transactions on Computer-Human Interaction, 26(2), 1-31. https://doi.org/10.1145/3301426

Via sensors carried by people and sensors embedded in the environment, personal data is being processed to try to understand activity patterns and people{\textquoteright}s internal states in the context of human-building interaction. This data is use... Read More about Adaptive Architecture and Personal Data.

Improving variational autoencoder with deep feature consistent and generative adversarial training (2019)
Journal Article
Hou, X., Sun, K., Shen, L., & Qiu, G. (2019). Improving variational autoencoder with deep feature consistent and generative adversarial training. Neurocomputing, 341, 183-194. https://doi.org/10.1016/j.neucom.2019.03.013

We present a new method for improving the performances of variational autoencoder (VAE). In addition to enforcing the deep feature consistent principle thus ensuring the VAE output and its corresponding input images to have similar deep features, we... Read More about Improving variational autoencoder with deep feature consistent and generative adversarial training.

Enslaved to the Trapped Data: A Cognitive Work Analysis of Medical Systematic Reviews (2019)
Presentation / Conference Contribution
Knight, I. A., Wilson, M. L., Brailsford, D. F., & Milic-Frayling, N. (2019, March). Enslaved to the Trapped Data: A Cognitive Work Analysis of Medical Systematic Reviews. Presented at CHIIR '19: Conference on Human Information Interaction and Retrieval, Glasgow, Scotland, UK

Systematic reviews are a comprehensive and parameterised form of literature review, found in most disciplines, that involve exhaustive analyses and rigorous interpretation of prior literature. Performing systematic reviews, however, can involve repet... Read More about Enslaved to the Trapped Data: A Cognitive Work Analysis of Medical Systematic Reviews.

A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food (2019)
Presentation / Conference Contribution
Xue, N., Landa-Silva, D., Figueredo, G. P., & Triguero, I. (2019, February). A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. Presented at 8th International Conference on Operations Research and Enterprise Systems, Prague, Czech Republic

The taste and freshness of perishable foods decrease dramatically with time. Effective inventory management requires understanding of market demand as well as balancing customers needs and references with products’ shelf life. The objective is to av... Read More about A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food.

Smart cities and cyber security: Are we there yet?A comparative study on the role of standards, third party risk management and security ownership (2019)
Journal Article
Vitunskaite, M., He, Y., Brandstetter, T., & Janicke, H. (2019). Smart cities and cyber security: Are we there yet?A comparative study on the role of standards, third party risk management and security ownership. Computers and Security, 83, 313-331. https://doi.org/10.1016/j.cose.2019.02.009

Smart cities have brought a variety of benefits aiming to revolutionise people’s lives. Those include but are not limited to, increasing economic efficiency, reducing cost and decreasing environmental output. However, the smart city itself is still i... Read More about Smart cities and cyber security: Are we there yet?A comparative study on the role of standards, third party risk management and security ownership.

Search tactics used in solving everyday how-to technical tasks: repertoire, selection and tenacity (2019)
Journal Article
Rutter, S., Blinzler, V., Ye, C., Wilson, M. L., & Twidale, M. D. (2019). Search tactics used in solving everyday how-to technical tasks: repertoire, selection and tenacity. Information Processing and Management, 56(3), 919-938. https://doi.org/10.1016/j.ipm.2019.02.008

With greater access to computational resources, people use search to address many everyday challenges in their lives, including solving technology problems. Although there are now many useful ‘how-to’ resources online (especially videos on YouTube),... Read More about Search tactics used in solving everyday how-to technical tasks: repertoire, selection and tenacity.

Gsmodutils: a python based framework for test-driven genome scale metabolic model development (2019)
Journal Article
Gilbert, J., Pearcy, N., Norman, R., Millat, T., Winzer, K., King, J., Hodgman, C., Minton, N., & Twycross, J. (2019). Gsmodutils: a python based framework for test-driven genome scale metabolic model development. Bioinformatics, 35(18), 3397-3403. https://doi.org/10.1093/bioinformatics/btz088

© 2019 The Author(s) 2019. Published by Oxford University Press. Motivation: Genome scale metabolic models (GSMMs) are increasingly important for systems biology and metabolic engineering research as they are capable of simulating complex steady-stat... Read More about Gsmodutils: a python based framework for test-driven genome scale metabolic model development.

Visual quality assessment for super-resolved images: database and method (2019)
Journal Article
Zhou, F., Yao, R., Liu, B., & Qiu, G. (2019). Visual quality assessment for super-resolved images: database and method. IEEE Transactions on Image Processing, 28(7), 3528-3541. https://doi.org/10.1109/tip.2019.2898638

Image super-resolution (SR) has been an active re-search problem which has recently received renewed interest due to the introduction of new technologies such as deep learning. However, the lack of suitable criteria to evaluate the SR perfor-mance ha... Read More about Visual quality assessment for super-resolved images: database and method.