Decentralized dynamic understanding of hidden relations in complex networks
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018)
Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4
Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in s...
Domains Models for User Interface Design
Benyon, D. (1996)
Domains Models for User Interface Design. In D. Benyon, & P. Palanque (Eds.), Critical Issues in User Interface Systems Engineering, 3-19. Springer Verlag. https://doi.org/10.1007/978-1-4471-1001-9_1
Human-Computer Interaction (HCI) is concerned with developing computer-based systems which help people undertake their work or other activities and which demonstrate a high de...
Evaluating the Usability of Learning Management Systems from Students' Perception: A Case Study of King Abdulaziz University
Binyamin, S., Smith, S., & Rutter, M. (2016)
Evaluating the Usability of Learning Management Systems from Students' Perception: A Case Study of King Abdulaziz University. In 15th European Conference on eLearning (ECEL 2016), (112-113
Due to the rapid improvement in Information and Communication Technology (ICT), adopting technologies has become a major focus of interest in the field of education. The integ...
DIY Community WiFi Networks: Insights on Participatory Design
Smyth, M., & Helgason, I. (2019)
DIY Community WiFi Networks: Insights on Participatory Design. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3290607.3313073
This paper presents a first version of a set of insights developed collaboratively by researchers during a three-year participatory design project spread across four European ...
On-Line Building Energy Optimization Using Deep Reinforcement Learning
Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M., & Slootweg, J. G. (2019)
On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid, 10(4), 3698-3708. https://doi.org/10.1109/tsg.2018.2834219
Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the ...
A Review of Predictive Quality of Experience Management in Video Streaming Services
Torres Vega, M., Perra, C., De Turck, F., & Liotta, A. (2018)
A Review of Predictive Quality of Experience Management in Video Streaming Services. IEEE Transactions on Broadcasting, 64(2), 432-445. https://doi.org/10.1109/tbc.2018.2822869
Satisfying the requirements of devices and users of online video streaming services is a challenging task. It requires not only managing the network quality of service but als...
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data
Gkatzia, D., Hastie, H., & Lemon, O. (2014)
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. In Proceedings of the Conference Volume 1: Long Papers. , (1231-1240). https://doi.org/10.3115/v1/p14-1116
We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selec...
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes
Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015)
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 1936-1942. https://doi.org/10.18653/v1/d15-1224
Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring...
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., …Liotta, A. (2019)
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217
The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data ...
The use of design activity for research into Computer Supported Co-operative Work (CSCW)
Garner, S. W., Scrivener, S. A. R., Clarke, A. A., Clark, S., Connolly, J. H., Palmen, H., …Smyth, M. G. (1990)
The use of design activity for research into Computer Supported Co-operative Work (CSCW). In J. Smith (Ed.), DATER 91, 84-96
This paper describes current research at Loughborough University in the field of Computer Supported Co-operative Working (CSCW). The project, which is funded by the Informatio...