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Outputs (235)

An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening (2019)
Journal Article
Wang, Q., Ismail, K., & Breckon, T. (2020). An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening. Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics, 28(1), 35-58. https://doi.org/10.3233/xst-190531

BACKGROUND: The screening of baggage using X-ray scanners is now routine in aviation security with automatic threat detection approaches, based on 3D X-ray computed tomography (CT) images, known as Automatic Threat Recognition (ATR) within the aviati... Read More about An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening.

Validation of an Objective Method for the Qualitative and Quantitative Assessment of Binocular Accommodative Facility (2019)
Journal Article
Vera, J., Redondo, B., Molina, R., Koulieris, G.-A., & Jiménez, R. (2020). Validation of an Objective Method for the Qualitative and Quantitative Assessment of Binocular Accommodative Facility. Current Eye Research, 45(5), 636-644. https://doi.org/10.1080/02713683.2019.1688837

Purpose: Assessing binocular accommodative facility (BAF) enables the evaluation of the interaction between the accommodative and vergence systems, which is relevant for the diagnosis of accommodative and binocular disorders. However, the tests used... Read More about Validation of an Objective Method for the Qualitative and Quantitative Assessment of Binocular Accommodative Facility.

A Unified Deep Metric Representation for Mesh Saliency Detection and Non-rigid Shape Matching (2019)
Journal Article
Hu, S., Shum, H., Aslam, N., Li, F. W., & Liang, X. (2020). A Unified Deep Metric Representation for Mesh Saliency Detection and Non-rigid Shape Matching. IEEE Transactions on Multimedia, 22(9), 2278-2292. https://doi.org/10.1109/tmm.2019.2952983

In this paper, we propose a deep metric for unifying the representation of mesh saliency detection and non-rigid shape matching. While saliency detection and shape matching are two closely related and fundamental tasks in shape analysis, previous met... Read More about A Unified Deep Metric Representation for Mesh Saliency Detection and Non-rigid Shape Matching.

Moments musicaux: Towards comprehensive catalogues of real repertoire examples for teaching and research (2019)
Presentation / Conference Contribution
Gotham, M. (2019, November). Moments musicaux: Towards comprehensive catalogues of real repertoire examples for teaching and research

One form of musical library that is a mainstay of traditional musicology and which stands to benefit from digital attention is the ‘anthology’. These collections, often paired with a textbook, are tasked with bringing together a set of ‘representativ... Read More about Moments musicaux: Towards comprehensive catalogues of real repertoire examples for teaching and research.

On the Use of Deep Learning for the Detection of Firearms in X-ray Baggage Security Imagery (2019)
Presentation / Conference Contribution
Gaus, Y., Bhowmik, N., & Breckon, T. (2019, November). On the Use of Deep Learning for the Detection of Firearms in X-ray Baggage Security Imagery. Presented at 2019 IEEE International Symposium on Technologies for Homeland Security, Boston, USA

X-ray imagery security screening is essential to maintaining transport security against a varying profile of prohibited items. Particular interest lies in the automatic detection and classification of prohibited items such as firearms and firearm com... Read More about On the Use of Deep Learning for the Detection of Firearms in X-ray Baggage Security Imagery.

Backtracking search heuristics for solving the all-partition array problem (2019)
Presentation / Conference Contribution
Bemman, B., & Meredith, D. (2019, November). Backtracking search heuristics for solving the all-partition array problem. Presented at ISMIR 2019: International Society for Music Information Retrieval Conference, Delft University of Technology, Delft, Netherlands

Recent efforts to model the compositional processes of Milton Babbitt have yielded a number of computationally challenging problems. One of these problems, known as the \textit{all-partition array problem}, is a particularly hard variant of set cover... Read More about Backtracking search heuristics for solving the all-partition array problem.

Blockchain as a Service for Software Defined Networks: A Denial of Service Attack Perspective (2019)
Presentation / Conference Contribution
Bose, A., Aujla, G. S., Singh, M., Kumar, N., & Cao, H. (2019, December). Blockchain as a Service for Software Defined Networks: A Denial of Service Attack Perspective. Presented at 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)

Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students (2019)
Presentation / Conference Contribution
Shi, L., Cristea, A. I., Toda, A., Oliveira, W., Siarheyeva, A., Barry, C., Lang, M., Linger, H., & Schneide, C. (2019, August). Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students. Presented at 28th International Conference on Information Systems Development (ISD2019), Toulon, France

Massive Open Online Courses (MOOCs) exhibit a remarkable heterogeneity of students. The advent of complex “big data” from MOOC platforms is a challenging yet rewarding opportunity to deeply understand how students are engaged in MOOCs. Past research,... Read More about Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students.