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All Outputs (13)

Computational aspects of model acquisition and join geometry for the virtual reconstruction of the atrahasis cuneiform tablet (2018)
Conference Proceeding
Collins, T., Woolley, S., Gehlken, E., & Ch'ng, E. (2018). Computational aspects of model acquisition and join geometry for the virtual reconstruction of the atrahasis cuneiform tablet. . https://doi.org/10.1109/VSMM.2017.8346284

The epic of Atrahasis is one of the most significant pieces of ancient Mesopotamian literature. The account has survived millennia on sets of clay tablets inscribed with cuneiform script; a sophisticated early writing system comprising signs formed f... Read More about Computational aspects of model acquisition and join geometry for the virtual reconstruction of the atrahasis cuneiform tablet.

DeepPCA Based Objective Function for Melanoma Detection (2018)
Conference Proceeding
Sultana, N. N., Puhan, N. B., & Mandal, B. (2018). DeepPCA Based Objective Function for Melanoma Detection. In 2018 International Conference on Information Technology (ICIT). https://doi.org/10.1109/icit.2018.00025

In this paper, we propose an objective function for the convolutional neural network to acquire the variation separability as opposed to the categorical cross entropy which maximizes according to the target labels. This approach is an unsupervised le... Read More about DeepPCA Based Objective Function for Melanoma Detection.

Student Centred Design of a Learning Analytics System (2018)
Conference Proceeding
De Quincey, E., Briggs, C., Kyriacou, T., & Waller, R. (2018). Student Centred Design of a Learning Analytics System. In LAK19: Proceedings of the 9th International Conference on Learning Analytics & Knowledge. https://doi.org/10.1145/3303772.3303793

Current Learning Analytics (LA) systems are primarily designed with University staff members as the target audience; very few are aimed at students, with almost none being developed with direct student involvement and undertaking a comprehensive eval... Read More about Student Centred Design of a Learning Analytics System.

The Usability of E-learning Platforms in Higher Education: A Systematic Mapping Study (2018)
Conference Proceeding
Abuhlfaia, K., & de Quincey, E. (2018). The Usability of E-learning Platforms in Higher Education: A Systematic Mapping Study. . https://doi.org/10.14236/ewic/HCI2018.7

The use of e-learning in higher education has increased significantly in recent years, which has led to several studies being conducted to investigate the usability of the platforms that support it. A variety of different usability evaluation methods... Read More about The Usability of E-learning Platforms in Higher Education: A Systematic Mapping Study.

Deep Adaptive Temporal Pooling for Activity Recognition (2018)
Conference Proceeding
Song, S., Cheung, N., Chandrasekhar, V., & Mandal, B. (2018). Deep Adaptive Temporal Pooling for Activity Recognition. . https://doi.org/10.1145/3240508.3240713

Deep neural networks have recently achieved competitive accuracy for human activity recognition. However, there is room for improvement, especially in modeling of long-term temporal importance and determining the activity relevance of different tempo... Read More about Deep Adaptive Temporal Pooling for Activity Recognition.

Fault Detection in Steel-Reinforced Concrete Using Echo State Networks (2018)
Conference Proceeding
Wootton, A. J., Day, C. R., & Haycock, P. W. (2018). Fault Detection in Steel-Reinforced Concrete Using Echo State Networks. In 2018 International Joint Conference on Neural Networks (IJCNN) (1-8). https://doi.org/10.1109/IJCNN.2018.8489761

The cost of maintaining and repairing the world's ageing reinforced concrete infrastructure continues to increase, and is expected to cost the United States economy alone $58 billion by 2020. Consequently, the use of non-destructive testing technolog... Read More about Fault Detection in Steel-Reinforced Concrete Using Echo State Networks.

A Bidirectional Subsethood Based Similarity Measure for Fuzzy Sets (2018)
Conference Proceeding
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. A Bidirectional Subsethood Based Similarity Measure for Fuzzy Sets. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz-ieee.2018.8491669

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.

Reliability Assessment of New and Updated Consumer-Grade Activity and Heart Rate Monitors (2018)
Conference Proceeding
Oniani, S., Woolley, S. I., Miguel Pires, I., Garcia, N. M., Collins, T., Ledger, S., & Pandyan, A. (2018). Reliability Assessment of New and Updated Consumer-Grade Activity and Heart Rate Monitors.

The aim of this paper is to address the need for reliability assessments of new and updated consumer-grade activity and heart rate monitoring devices. This issue is central to the use of these sensor devices and it is particularly important in their... Read More about Reliability Assessment of New and Updated Consumer-Grade Activity and Heart Rate Monitors.

Deep Residual Network With Subclass Discriminant Analysis For Crowd Behavior Recognition (2018)
Conference Proceeding
Mandal, B., Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). Deep Residual Network With Subclass Discriminant Analysis For Crowd Behavior Recognition. . https://doi.org/10.1109/ICIP.2018.8451190

In this work, we extract rich representations of crowd behavior from video using a fine-tuned deep convolutional neural residual network. Using spatial partitioning trees we create subclasses within the feature maps from each of the crowd behavior a... Read More about Deep Residual Network With Subclass Discriminant Analysis For Crowd Behavior Recognition.

Physical Model of a Chiral Flexural Waveguide (2018)
Conference Proceeding
Carta, G., Nieves, M., Jones, I., Movchan, N., & Movchan, A. (2018). Physical Model of a Chiral Flexural Waveguide. In 2018 12th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials). https://doi.org/10.1109/metamaterials.2018.8534157

We present a novel physical model of a gyrobeam, an active chiral structural element where flexural and rotational motions are coupled. In the literature, the gyrobeam is described as a mathematical object possessing a continuous distribution of stor... Read More about Physical Model of a Chiral Flexural Waveguide.

The Effect of Pose on the distribution of Edge Gradients in Omnidirectional Images (2018)
Conference Proceeding
Jarvis, D., & Kyriacou, T. (2018). The Effect of Pose on the distribution of Edge Gradients in Omnidirectional Images. In Towards Autonomous Robotic Systems. TAROS 2018. https://doi.org/10.1007/978-3-319-96728-8_20

Images from omnidirectional cameras are used frequently in applications involving artificial intelligence and robotics as a source of rich information about the surroundings. A useful feature that can be extracted from these images is the distributio... Read More about The Effect of Pose on the distribution of Edge Gradients in Omnidirectional Images.

Measuring the Scalability of Cloud-based Software Services (2018)
Conference Proceeding
Al-Said Ahmad, A., & Andras, P. (2018). Measuring the Scalability of Cloud-based Software Services. . https://doi.org/10.1109/SERVICES.2018.00016

Measuring and testing the performance of cloud-based software services is critically important in the context of rapid growth of cloud computing. Scalability, elasticity and efficiency are interrelated aspects of performance of cloud-based software s... Read More about Measuring the Scalability of Cloud-based Software Services.