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All Outputs (45)

An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions (2019)
Journal Article
Hameed, N., Hameed, F., Shabut, A., Khan, S., Cirstea, S., & Hossain, A. (2019). An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions. Computers, 8(3), Article 62. https://doi.org/10.3390/computers8030062

Skin diseases cases are increasing on a daily basis and are dicult to handle due to the global imbalance between skin disease patients and dermatologists. Skin diseases are among the top 5 leading cause of the worldwide disease burden. To reduce thi... Read More about An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions.

Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data (2019)
Journal Article
Maillo, J., García, S., Luengo, J., Herrera, F., & Triguero, I. (2020). Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data. IEEE Transactions on Fuzzy Systems, 28(5), 874-886. https://doi.org/10.1109/TFUZZ.2019.2936356

One of the best-known and most effective methods in supervised classification is the k nearest neighbors algorithm (kNN). Several approaches have been proposed to improve its accuracy, where fuzzy approaches prove to be among the most successful, hig... Read More about Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data.

Multi-Scale Topological Analysis of Asymmetric Tensor Fields on Surfaces (2019)
Journal Article
Khan, F., Roy, L., Zhang, E., Qu, B., Hung, S., Yeh, H., …Zhang, Y. (2020). Multi-Scale Topological Analysis of Asymmetric Tensor Fields on Surfaces. IEEE Transactions on Visualization and Computer Graphics, 26(1), 270 - 279. https://doi.org/10.1109/tvcg.2019.2934314

Asymmetric tensor fields have found applications in many science and engineering domains, such as fluid dynamics. Recent advances in the visualization and analysis of 2D asymmetric tensor fields focus on pointwise analysis of the tensor field and eff... Read More about Multi-Scale Topological Analysis of Asymmetric Tensor Fields on Surfaces.

“Off the beaten map”: Navigating with digital maps on moorland (2019)
Journal Article
Smith, T. A., Laurier, E., Reeves, S., & Dunkley, R. A. (2019). “Off the beaten map”: Navigating with digital maps on moorland. Transactions of the Institute of British Geographers, https://doi.org/10.1111/tran.12336

The information, practices and views in this article are those of the author(s) and do not necessarily reflect the opinion of the Royal Geographical Society (with IBG). © 2019 Royal Geographical Society (with the Institute of British Geographers) Res... Read More about “Off the beaten map”: Navigating with digital maps on moorland.

A Novel Autonomous Perceptron Model for Pattern Classification Applications (2019)
Journal Article
Sagheer, A., Zidan, M., & Abdelsamea, M. M. (2019). A Novel Autonomous Perceptron Model for Pattern Classification Applications. Entropy, 21(8), https://doi.org/10.3390/e21080763

Pattern classification represents a challenging problem in machine learning and data science research domains, especially when there is a limited availability of training samples. In recent years, artificial neural network (ANN) algorithms have demon... Read More about A Novel Autonomous Perceptron Model for Pattern Classification Applications.

Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles (2019)
Journal Article
Agrawal, U., Soria, D., Wagner, C., Garibaldi, J., Ellis, I. O., Bartlett, J. M. S., …Green, A. R. (2019). Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. Artificial Intelligence in Medicine, 97, 27-37. https://doi.org/10.1016/j.artmed.2019.05.002

Breast Cancer is one of the most common causes of cancer death in women, representing a very complex disease with varied molecular alterations. To assist breast cancer prognosis, the classification of patients into biological groups is of great signi... Read More about Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.

Psychological interventions as vaccine adjuvants: A systematic review (2019)
Journal Article
Vedhara, K., Ayling, K., Sunger, K., Caldwell, D. M., Halliday, V., Fairclough, L., …Royal, S. (2019). Psychological interventions as vaccine adjuvants: A systematic review. Vaccine, 37(25), 3255-3266. https://doi.org/10.1016/j.vaccine.2019.04.091

Objectives: The effectiveness of vaccines is known to be altered by a range of psychological factors. We conducted a systematic review to evaluate the effects of psychological interventions on the ability of vaccines to protect against disease, as me... Read More about Psychological interventions as vaccine adjuvants: A systematic review.

Young adults' attitudes to sharing whole-genome sequencing information: a university-based survey (2019)
Journal Article
Stringer, P., Sharples, S., Thomson, B. J., & Garibaldi, J. M. (2019). Young adults' attitudes to sharing whole-genome sequencing information: a university-based survey. BMC Medical Genomics, 12, https://doi.org/10.1186/s12920-019-0499-2

Background Genomic services are increasingly accessible to young adults starting their independent lives with responsibility for their self-care, yet their attitudes to sharing genomic information remain under-researched. This study explored attitud... Read More about Young adults' attitudes to sharing whole-genome sequencing information: a university-based survey.

A multi-aperture optical flow estimation method for an artificial compound eye (2019)
Journal Article
Wu, S., Zhang, G., Neri, F., Zhu, M., Jiang, T., & Kuhnert, K. D. (2019). A multi-aperture optical flow estimation method for an artificial compound eye. Integrated Computer-Aided Engineering, 26(2), 139-157. https://doi.org/10.3233/ICA-180593

© 2019 IOS Press and the authors. All rights reserved. An artificial compound eye (ACE) is a bio-inspired vision sensor which mimics a natural compound eye (typical of insects). This artificial eye is able to visualize large fields of the outside wor... Read More about A multi-aperture optical flow estimation method for an artificial compound eye.

Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain (2019)
Journal Article
Cao, S., Zhang, G., Liu, P., Zhang, X., & Neri, F. (2019). Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain. Information Sciences, 485, 427-440. https://doi.org/10.1016/j.ins.2019.02.038

© 2019 Elsevier Inc. The wide deployment of cloud-assisted electronic health (eHealth) systems has already shown great benefits in managing electronic health records (EHRs) for both medical institutions and patients. However, it also causes critical... Read More about Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain.

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.

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.

AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection (2016)
Journal Article
Feizollah, A., Anuar, N. B., Salleh, R., Suarez-Tangil, G., & Furnell, S. (2017). AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection. Computers and Security, 65, 121-134. https://doi.org/10.1016/j.cose.2016.11.007

© 2016 Elsevier Ltd The wide popularity of Android systems has been accompanied by increase in the number of malware targeting these systems. This is largely due to the open nature of the Android framework that facilitates the incorporation of third-... Read More about AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection.