Visual Exploration of Alternative Taxonomies through Concepts
Journal Article
Graham, M., & Kennedy, J. (2007)
Visual Exploration of Alternative Taxonomies through Concepts. Ecological Informatics, 2, 248-261. https://doi.org/10.1016/j.ecoinf.2007.07.004
A graphical user interface is presented that allows users of taxonomic data to explore concept relationships between conflicting but related taxonomic classifications.
Ecolog...
Compressed Animated Light Fields with Real-time View-dependent Reconstruction
Journal Article
Koniaris, C., Kosek, M., Sinclair, D., & Mitchell, K. (2019)
Compressed Animated Light Fields with Real-time View-dependent Reconstruction. IEEE Transactions on Visualization and Computer Graphics, 25(4), 1666-1680. https://doi.org/10.1109/tvcg.2018.2818156
We propose an end-to-end solution for presenting movie quality animated graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion....
Teallach: a model-based user interface development environment for object databases
Journal Article
Griffiths, T., Barclay, P. J., Paton, N. W., McKirdy, J., Kennedy, J., Gray, P., …Pinherio da Silva, P. (2001)
Teallach: a model-based user interface development environment for object databases. Interacting with Computers, 14(1), 31-68. https://doi.org/10.1016/s0953-5438%2801%2900042-x
Model-based user interface development environments show promise for improving the productivity of user-interface developers and possibly for improving the quality of develope...
Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks
Journal Article
Torres Vega, M., Koonen, A. M. J., Liotta, A., & Famaey, J. (2018)
Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE Wireless Communications Letters, 7(2), 278-281. https://doi.org/10.1109/lwc.2017.2771771
In light of the extreme radio congestion, the time has come to consider the upper parts of the electromagnetic spectrum. Optical beam-steered wireless communications offer gre...
Decentralized dynamic understanding of hidden relations in complex networks
Journal Article
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...
The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers
Journal Article
Stapleton, G., Chapman, P., Rodgers, P., Touloumis, A., Blake, A., & Delaney, A. (2019)
The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers. PLOS ONE, 14(3), https://doi.org/10.1371/journal.pone.0211234
This paper presents the first empirical investigation that compares Euler and linear diagrams when they are used to represent set cardinality. A common approach is to use area...
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,...
A topological insight into restricted Boltzmann machines
Journal Article
Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M., & Liotta, A. (2016)
A topological insight into restricted Boltzmann machines. Machine Learning, 104(2-3), 243-270. https://doi.org/10.1007/s10994-016-5570-z
Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for automatic feature...
BayesPiles: Visualisation Support for Bayesian Network Structure Learning
Journal Article
Vogogias, A., Kennedy, J., Archambault, D., Bach, B., Smith, V. A., & Currant, H. (2018)
BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM transactions on intelligent systems and technology, 10(1), 1-23. https://doi.org/10.1145/3230623
We address the problem of exploring, combining and comparing large collections of scored, directed networks for understanding inferred Bayesian networks used in biology. In th...
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...