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All Outputs (36)

AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS (2016)
Presentation / Conference
Al-Bander, B., Al-Nuaimy, W., Parry, D., Leach, S., & Zheng, Y. (2016, June). AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS. Poster presented at 26th Meeting of the European Association for the Study of Diabetes Eye Complications Study Group (EASDec), Manchester, UK

Design: This is a software development and evaluation study involving colour fundus images of the retina from people with diabetes.
Purpose: To investigate the feasibility of deep learning techniques to simultaneously detect the centres of the fovea... Read More about AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS.

Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones (2015)
Presentation / Conference
Chia, S., Mandal, B., Xu, Q., Li, L., & Lim, J. (2015, August). Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones. Poster presented at 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, Copenhagen, Denmark

Wearable devices offer immense opportunities in both consumer and enterprise domains due to the hands-free interaction modality and the ability to provide information in real-time. However, due to hardware limitations, it presents a notable challenge... Read More about Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones.

Identifying Potential Sources of Data and Metaphors for Learning Analytics and Dashboards (2013)
Presentation / Conference
de Quincey, E., & Stoneham, R. (2013, December). Identifying Potential Sources of Data and Metaphors for Learning Analytics and Dashboards. Presented at apt2013

Retention and the measurement of student engagement are long standing problems within HE (Jones, 2008). A number of studies have investigated how students at risk of failing or withdrawing from University courses can be identified (e.g. Rugg et al.)... Read More about Identifying Potential Sources of Data and Metaphors for Learning Analytics and Dashboards.

Capturing Browsing Interests of Users into Web Usage Profiles (2012)
Presentation / Conference
Kabir, S., Mudur, S., & Shiri, N. (2012, July). Capturing Browsing Interests of Users into Web Usage Profiles. Presented at 26th AAAI Conference on Artificial Intelligence (AAAI-12), Toronto, Ontario, Canada

We present a new weighted session similarity measure to capture the browsing interests of users in web usage profiles discovered from web log data. We base our similarity measure on the reasonable assumption that when users spend longer times on page... Read More about Capturing Browsing Interests of Users into Web Usage Profiles.

Spontaneous vs. Posed smiles - can we tell the difference?
Presentation / Conference
Mandal. Spontaneous vs. Posed smiles - can we tell the difference?. Presented at International Conference on Computer Vision and Image Processing

Smile is an irrefutable expression that shows the physical state of the mind in both true and deceptive ways. Generally, it shows happy state of the mind, however, ‘smiles’ can be deceptive, for example people can give a smile when they feel happy an... Read More about Spontaneous vs. Posed smiles - can we tell the difference?.

Utilising User-Centred Design to Develop a Clinical Guidelines Mobile Application
Presentation / Conference
Utilising User-Centred Design to Develop a Clinical Guidelines Mobile Application. Presented at Proceedings of the 33rd International BCS Human Computer Interaction Conference

Clinical guidelines are utilised by clinicians worldwide. Despite widespread use, accessing clinical guidance and information can be highly inefficient and restrictive. At present, there are no 'standards' (clear methods, designs, recommendations) re... Read More about Utilising User-Centred Design to Develop a Clinical Guidelines Mobile Application.