An AI approach to Collecting and Analyzing Human Interactions with Urban Environments
Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019)
An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845
Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, i...
Double-Arc Parallel Coordinates and its Axes re-Ordering Methods
Journal Article
Lu, L., Wang, W., & Tan, Z. (2020)
Double-Arc Parallel Coordinates and its Axes re-Ordering Methods. Mobile Networks and Applications, 25(4), 1376-1391. https://doi.org/10.1007/s11036-019-01455-9
The Parallel Coordinates Plot (PCP) is a popular technique for the exploration of high-dimensional data. In many cases, researchers apply it as an effective method to analyze ...
MaTSE: the gene expression time-series explorer.
Journal Article
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2013)
MaTSE: the gene expression time-series explorer. BMC bioinformatics, 14, https://doi.org/10.1186/1471-2105-14-S19-S1
Background
High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatmen...
Constructing and Evaluating Visualisation Task Classifications: Process and Considerations
Journal Article
Kerracher, N., & Kennedy, J. (2019)
Constructing and Evaluating Visualisation Task Classifications: Process and Considerations. Computer Graphics Forum, 36(3), 47-59. https://doi.org/10.1111/cgf.13167
Categorising tasks is a common pursuit in the visualisation research community, with a wide variety of taxonomies, typologies, design spaces, and frameworks having been develo...
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019)
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning,...
Evaluating the VIPER pedigree visualisation: detecting inheritance inconsistencies in genotyped pedigrees.
Conference Proceeding
Paterson, T., Graham, M., Kennedy, J., & Law, A. (2011)
Evaluating the VIPER pedigree visualisation: detecting inheritance inconsistencies in genotyped pedigrees. In 2011 IEEE Symposium on Biological Data Visualization (BioVis), 119-126. https://doi.org/10.1109/BioVis.2011.6094056
VIPER (Visual Pedigree Explorer) is a tool for exploring large complex animal pedigrees and their associated genotype data. The tool combines a novel, space-efficient visualis...
Tasks and visual techniques for the exploration of temporal graph data
Thesis
Kerracher, N. Tasks and visual techniques for the exploration of temporal graph data. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/977758
This thesis considers the tasks involved in exploratory analysis of temporal graph data, and the visual techniques which are able to support these tasks.
There has been an e...
A comparison of set-based and graph-based visualisations of overlapping classification hierarchies.
Conference Proceeding
Graham, M., Kennedy, J., & Hand, C. (2000)
A comparison of set-based and graph-based visualisations of overlapping classification hierarchies. In V. Gesu, S. Levialdi, & L. Tarantino (Eds.), 5th Working Conference on Advanced Visual Interfaces (AVI 2000), 41-50. https://doi.org/10.1145/345513.345243
The visualisation of hierarchical information sets has been a staple of Information Visualisation since the field came into being in the early 1990's. However, at present, sup...
On-Line Building Energy Optimization Using Deep Reinforcement Learning
Journal Article
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
Journal Article
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...