Outputs (87)

An end-to-end deep learning histochemical scoring system for breast cancer TMA (2018)
Journal Article
Liu, J., Xu, B., Zheng, C., Gong, Y., Garibaldi, J., Soria, D., Green, A., Ellis, I. O., Zou, W., & Qiu, G. (2019). An end-to-end deep learning histochemical scoring system for breast cancer TMA. IEEE Transactions on Medical Imaging, 38(2), 617-628. https://doi.org/10.1109/TMI.2018.2868333

One of the methods for stratifying different molecular classes of breast cancer is the Nottingham prognostic index plus, which uses breast cancer relevant biomarkers to stain tumor tissues prepared on tissue microarray (TMA). To determine the molecul... Read More about An end-to-end deep learning histochemical scoring system for breast cancer TMA.

SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence (2018)
Presentation / Conference Contribution
Havens, T. C., Pinar, A. J., Anderson, D. T., & Wagner, C. (2018, July). SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence. Presented at 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Rio de Janeiro

© 2018 IEEE. Information or data aggregation is an important part of nearly all analysis problems as summarizing inputs from multiple sources is a ubiquitous goal. In this paper we propose a method for non-linear aggregation of data inputs that take... Read More about SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence.

A bidirectional subsethood based similarity measure for fuzzy sets (2018)
Presentation / Conference Contribution
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. (2018, July). A bidirectional subsethood based similarity measure for fuzzy sets. Presented at IEEE World Congress on Computational Intelligence (WCCI 2018)

Similarity measures are useful for reasoning about fuzzy sets. Hence, many classical set-theoretic similarity measures have been extended for comparing fuzzy sets. In previous work, a set-theoretic similarity measure considering the bidirectional sub... Read More about A bidirectional subsethood based similarity measure for fuzzy sets.

From design fiction to design fact: developing future user experiences with proto-tools (2018)
Book Chapter
Malizia, A., Chamberlain, A., & Willcock, I. (2018). From design fiction to design fact: developing future user experiences with proto-tools. In Human-Computer Interaction. Theories, Methods, and Human Issues 20th International Conference, HCI International 2018, Las Vegas, NV, USA, July 15–20, 2018, Proceedings, Part I (159-168). Springer Publishing Company. https://doi.org/10.1007/978-3-319-91238-7_14

Envision a future where the physical and digital become seamlessly intertwined producing unbounded possibilities from interactions with autonomous cars to the advent of smart cities. Tools and methods to explore the design and development of such eme... Read More about From design fiction to design fact: developing future user experiences with proto-tools.

A Review of Blood Vessel Segmentation Techniques (2018)
Presentation / Conference Contribution
Bukenya, F., Kiweewa, A., & Bai, L. (2018, April). A Review of Blood Vessel Segmentation Techniques. Presented at 2018 1st International Conference on Computer Applications & Information Security (ICCAIS), Riyadh, Saudi Arabia

© 2018 IEEE. Due to the increasing demand for competent vessel segmentation techniques, it is important to review some of the available blood vessel segmentation techniques. This paper presents a survey of state-of-art vessel segmentation techniques.... Read More about A Review of Blood Vessel Segmentation Techniques.

Towards Bayesian-Based Trust Management for Insider Attacks in Healthcare Software-Defined Networks (2018)
Journal Article
Meng, W., Choo, K. K. R., Furnell, S., Vasilakos, A. V., & Probst, C. W. (2018). Towards Bayesian-Based Trust Management for Insider Attacks in Healthcare Software-Defined Networks. IEEE Transactions on Network and Service Management, 15(2), 761-773. https://doi.org/10.1109/TNSM.2018.2815280

© 2004-2012 IEEE. The medical industry is increasingly digitalized and Internet-connected (e.g., Internet of Medical Things), and when deployed in an Internet of Medical Things environment, software-defined networks (SDNs) allow the decoupling of net... Read More about Towards Bayesian-Based Trust Management for Insider Attacks in Healthcare Software-Defined Networks.

Learning Shared Control by Demonstration for Personalized Wheelchair Assistance (2018)
Journal Article
Kucukyilmaz, A., & Demiris, Y. (2018). Learning Shared Control by Demonstration for Personalized Wheelchair Assistance. IEEE Transactions on Haptics, 11(3), 431-442. https://doi.org/10.1109/TOH.2018.2804911

An emerging research problem in assistive robotics is the design of methodologies that allow robots to provide personalized assistance to users. For this purpose, we present a method to learn shared control policies from demonstrations offered by a h... Read More about Learning Shared Control by Demonstration for Personalized Wheelchair Assistance.

Enhancing security behaviour by supporting the user (2018)
Journal Article
Furnell, S., Khern-am-nuai, W., Esmael, R., Yang, W., & Li, N. (2018). Enhancing security behaviour by supporting the user. Computers and Security, 75, 1-9. https://doi.org/10.1016/j.cose.2018.01.016

© 2018 Elsevier Ltd Although the role of users in maintaining security is regularly emphasised, this is often not matched by an accompanying level of support. Indeed, users are frequently given insufficient guidance to enable effective security choic... Read More about Enhancing security behaviour by supporting the user.

A preliminary study on automatic algorithm selection for short-term traffic forecasting (2018)
Presentation / Conference Contribution
Angarita-Zapata, J. S., Triguero, I., & Masegosa, A. D. (2018, October). A preliminary study on automatic algorithm selection for short-term traffic forecasting. Presented at 12th International Symposium on Intelligent Distributed Computing (IDC 2018), Bilbao, Spain

© 2018, Springer Nature Switzerland AG. Despite the broad range of Machine Learning (ML) algorithms, there are no clear baselines to find the best method and its configuration given a Short-Term Traffic Forecasting (STTF) problem. In ML, this is know... Read More about A preliminary study on automatic algorithm selection for short-term traffic forecasting.

A novel privacy preserving user identification approach for network traffic (2017)
Journal Article
Clarke, N., Li, F., & Furnell, S. (2017). A novel privacy preserving user identification approach for network traffic. Computers and Security, 70, 335-350. https://doi.org/10.1016/j.cose.2017.06.012

© 2017 The Author(s) The prevalence of the Internet and cloud-based applications, alongside the technological evolution of smartphones, tablets and smartwatches, has resulted in users relying upon network connectivity more than ever before. This resu... Read More about A novel privacy preserving user identification approach for network traffic.