Measuring perceived clutter in concept diagrams
Hou, T., Chapman, P., & Oliver, I. (2016)
Measuring perceived clutter in concept diagrams. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computinghttps://doi.org/10.1109/vlhcc.2016.7739661
Clutter in a diagram can be broadly defined as how visually complex the diagram is. It may be that different users perceive clutter in different ways, however. Moreover, it ha...
Exploring multiple trees through DAG representations
Graham, M., & Kennedy, J. (2007)
Exploring multiple trees through DAG representations. IEEE Transactions on Visualization and Computer Graphics, 13, 1294-1301. https://doi.org/10.1109/TVCG.2007.70556
We present a Directed Acyclic Graph visualisation designed to allow interaction with a set of multiple classification trees, specifically to find overlaps and differences betw...
Concept relationship editor: a visual interface to support the assertion of synonymy relationships between taxonomic classifications
Craig, P., & Kennedy, J. (2008)
Concept relationship editor: a visual interface to support the assertion of synonymy relationships between taxonomic classifications. In K. Börner, M. Gröhn, J. Park, J. C. Roberts, M. T. Gröhn, & J. C. Roberts (Eds.), Proc. SPIE 6809, Visualization and Data Analysis 2008, 680906-680912. doi:10.1117/12.765540
An increasingly common approach being taken by taxonomists to define the relationships between taxa in alternative hierarchical classifications is to use a set-based notation ...
Visualisation to Aid Biodiversity Studies through Accurate Taxonomic Reconciliation.
Graham, M., Craig, P., & Kennedy, J. (2008)
Visualisation to Aid Biodiversity Studies through Accurate Taxonomic Reconciliation. In W. A. Gray, K. G. Jeffery, & J. Shao (Eds.), Proceedings of British National Conference on Database Systems: Sharing Data, Information and Knowledge, 280-291. https://doi.org/10.1007/978-3-540-70504-8_29
All aspects of organismal biology rely on the accurate identification
of specimens described and observed. This is particularly important for
ecological surveys of biodiversit...
A survey of multiple tree visualisation.
Graham, M., & Kennedy, J. (2010)
A survey of multiple tree visualisation. Information visualization, 9, 235-252. https://doi.org/10.1057/ivs.2009.29
This paper summarises the state-of-the-art in multiple tree visualisations. It discusses the spectrum of current representation techniques used on single trees, pairs of trees...
Developing a core ontology for taxonomic data.
Kennedy, J., Gales, R., Hyam, R., Kukla, R., Wieczorek, J., Hagedorn, G., …Vieglais, D. (2006)
Developing a core ontology for taxonomic data. In L. Belbin, A. Rissoné, & A. Weitzman (Eds.), Proceedings of TDWG (2006), St Louis, MI
Over recent years several sub-groups within the Taxonomic Databases Working Group (TDWG) have developed models and exchange standards to facilitate data sharing within the tax...
Redeeming pedigree data with an interactive error cleaning visualisation.
Graham, M., Kennedy, J., Paterson, T., & Law, A. (2012)
Redeeming pedigree data with an interactive error cleaning visualisation. In Proceedings of Advanced Visual Interfaces 2012, 741-744. https://doi.org/10.1145/2254556.2254698
We describe a visual data cleansing application for pedigree genotype data, which is used to redeem otherwise unusable pedigree data sets. Biologists and bioinformaticians dyn...
Evaluating the VIPER pedigree visualisation: detecting inheritance inconsistencies in genotyped pedigrees.
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...
An AI approach to Collecting and Analyzing Human Interactions with Urban Environments
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...
A topological insight into restricted Boltzmann machines
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...