All Outputs (6)

Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data (2018)
Journal Article
Triguero, I., Garcia-Gil, D., Maillo, J., Luengo, J., Garcia, S., & Herrera, F. (2019). Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(2), Article e1289. https://doi.org/10.1002/widm.1289

The k-nearest neighbours algorithm is characterised as a simple yet effective data mining technique. The main drawback of this technique appears when massive amounts of data -likely to contain noise and imperfections - are involved, turning this algo... Read More about Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data.

Multi-label Arabic text categorization: A benchmark and baseline comparison of multi-label learning algorithms (2018)
Journal Article
Al-Salemi, B., Ayob, M., Kendall, G., & Noah, S. A. M. (2019). Multi-label Arabic text categorization: A benchmark and baseline comparison of multi-label learning algorithms. Information Processing and Management, 56(1), 212-227. https://doi.org/10.1016/j.ipm.2018.09.008

© 2018 Elsevier Ltd Multi-label text categorization refers to the problem of assigning each document to a subset of categories by means of multi-label learning algorithms. Unlike English and most other languages, the unavailability of Arabic benchmar... Read More about Multi-label Arabic text categorization: A benchmark and baseline comparison of multi-label learning algorithms.

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., …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.

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.