All Outputs (127)

PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams (2019)
Journal Article
Tickle, R., Triguero, I., Figueredo, G. P., Mesgarpour, M., & John, R. I. (2019). PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams. Cognitive Computation, 11(3), 434–458. https://doi.org/10.1007/s12559-019-09638-y

© 2019, Springer Science+Business Media, LLC, part of Springer Nature. Hot spot identification is a very relevant problem in a wide variety of areas such as health care, energy or transportation. A hot spot is defined as a region of high likelihood o... Read More about PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams.

WABI: Facilitating Synchrony Between Inhabitants of Adaptive Architecture (2019)
Book Chapter
Jäger, N., Schnädelbach, H., Hale, J., Kirk, D., & Glover, K. (2019). WABI: Facilitating Synchrony Between Inhabitants of Adaptive Architecture. In People, Personal Data and the Built Environment (41-75). Springer International Publishing. https://doi.org/10.1007/978-3-319-70875-1_3

We spend most of our lives in buildings where we interact with people that occupy the same space. A common and intuitive form of interaction with others is to synchronise our own behaviour with theirs, and such interpersonal synchrony can have variou... Read More about WABI: Facilitating Synchrony Between Inhabitants of Adaptive Architecture.

“It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency (2019)
Journal Article
Webb, H., Patel, M., Rovatsos, M., Davoust, A., Ceppi, S., Koene, A., Dowthwaite, L., Portillo, V., Jirotka, M., & Cano, M. (2019). “It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency. Journal of Information, Communication and Ethics in Society, 17(2), 210-228. https://doi.org/10.1108/jices-11-2018-0092

Purpose
The purpose of this paper is to report on empirical work conducted to open up algorithmic interpretability and transparency. In recent years, significant concerns have arisen regarding the increasing pervasiveness of algorithms and the impac... Read More about “It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency.

Similarity between interval-valued fuzzy sets taking into account the width of the intervals and admissible orders (2019)
Journal Article
Bustince, H., Marco-Detchart, C., Fernandez, J., Wagner, C., Garibaldi, J., & Takáč, Z. (2019). Similarity between interval-valued fuzzy sets taking into account the width of the intervals and admissible orders. Fuzzy Sets and Systems, https://doi.org/10.1016/j.fss.2019.04.002

In this work we study a new class of similarity measures between interval-valued fuzzy sets. The novelty of our approach lays, firstly, on the fact that we develop all the notions with respect to total orders of intervals; and secondly, on that we co... Read More about Similarity between interval-valued fuzzy sets taking into account the width of the intervals and admissible orders.

Citizens’ juries: when older adults deliberate on the benefits and risks of smart health and smart homes (2019)
Journal Article
Chadborn, N., Blair, K., Creswick, H., Perez Vallejos, E., Hughes, N., Dowthwaite, L., & Adenekan, O. (2019). Citizens’ juries: when older adults deliberate on the benefits and risks of smart health and smart homes. Healthcare, 7(2), Article 54. https://doi.org/10.3390/healthcare7020054

Background: Technology-enabled healthcare or smart health has provided a wealth of products and services to enable older people to monitor and manage their own health conditions at home, thereby maintaining independence, whilst also reducing healthca... Read More about Citizens’ juries: when older adults deliberate on the benefits and risks of smart health and smart homes.

Zest: REST over ZeroMQ (2019)
Presentation / Conference Contribution
Moore, J., Arcia-Moret, A., Yadav, P., Mortier, R., Brown, A., McAuley, D., Crabtree, A., Greenhalgh, C., Haddadi, H., & Amar, Y. (2019, March). Zest: REST over ZeroMQ. Presented at 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kyoto, Japan

© 2019 IEEE. In this paper we introduce, Zest (REST over ZeroMQ), a middleware technology in support of an Internet of Things (IoT). Our work is influenced by the Constrained Application Protocol (CoAP) but emphasises systems that can support fine-gr... Read More about Zest: REST over ZeroMQ.

Identification of nitrogen-dependent QTL and underlying genes for root system architecture in hexaploid wheat (2019)
Other
Griffiths, M., Atkinson, J. A., Gardiner, L.-J., Swarup, R., Pound, M. P., Wilson, M. H., Bennett, M. J., & Wells, D. M. (2019). Identification of nitrogen-dependent QTL and underlying genes for root system architecture in hexaploid wheat

The root system architecture (RSA) of a crop has a profound effect on the uptake of nutrients and consequently the potential yield. However, little is known about the genetic basis of RSA and resource dependent response in wheat (Triticum aestivum L.... Read More about Identification of nitrogen-dependent QTL and underlying genes for root system architecture in hexaploid wheat.

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.

Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks (2019)
Journal Article
Mu, C., Zhang, J., Liu, Y., Qu, R., & Huang, T. (2019). Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks. Soft Computing, 23, 12683-12709. https://doi.org/10.1007/s00500-019-03820-y

Community detection aims to identify topological structures and discover patterns in complex networks, which presents an important problem of great significance. The problem can be modeled as an NP hard combinatorial optimization problem, to which mu... Read More about Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks.

Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health (2019)
Preprint / Working Paper
Stroud, D., Wagner, C., & Siebers, P.-O. Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health

The premise of this working paper is based around agent-based simulation models and how to go about creating them from given incomplete information. Agent-based simulations are stochastic simulations that revolve around groups of agents that each hav... Read More about Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health.

Unbounded orchestrations of transdeucers for manufacturing (2019)
Presentation / Conference Contribution
Alechina, N., Brázdil, T., De Giacomo, G., Felli, P., Logan, B., & Vardi, M. Y. (2019, January). Unbounded orchestrations of transdeucers for manufacturing. Presented at Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA

There has recently been increasing interest in using reactive synthesis techniques to automate the production of manufacturing process plans. Previous work has assumed that the set of manufacturing resources is known and fixed in advance. In this pap... Read More about Unbounded orchestrations of transdeucers for manufacturing.