Jessie Kennedy

ORCID: 0000-0002-0023-2595
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About
Contact & Profiles
Research Areas
  • Data Visualization and Analytics
  • Advanced Database Systems and Queries
  • Semantic Web and Ontologies
  • Species Distribution and Climate Change
  • Data Management and Algorithms
  • Usability and User Interface Design
  • Service-Oriented Architecture and Web Services
  • Data Quality and Management
  • Gene expression and cancer classification
  • Biomedical Text Mining and Ontologies
  • Multimedia Communication and Technology
  • Scientific Computing and Data Management
  • Software Engineering Research
  • Cell Image Analysis Techniques
  • Bioinformatics and Genomic Networks
  • Advanced Software Engineering Methodologies
  • Advanced Text Analysis Techniques
  • Genomics and Phylogenetic Studies
  • Plant and animal studies
  • Model-Driven Software Engineering Techniques
  • Complex Network Analysis Techniques
  • Data Analysis with R
  • Geographic Information Systems Studies
  • Genetics, Bioinformatics, and Biomedical Research
  • Business Process Modeling and Analysis

Monash University
2024

York University
2022

Edinburgh Napier University
2012-2021

Cornell University
1996

Morrison Tech
1996

Utrecht University
1996

University of St Andrews
1996

Karlsruhe University of Education
1996

In spite of advances in technologies for working with data, analysts still spend an inordinate amount time diagnosing data quality issues and manipulating into a usable form. This process ‘data wrangling’ often constitutes the most tedious time-consuming aspect analysis. Though cleaning integration arelongstanding database community, relatively little research has explored how interactive visualization can advance state art. this article, we review challenges opportunities associated...

10.1177/1473871611415994 article EN Information Visualization 2011-09-02

This article summarises the current state of research into multiple tree visualisations. It discusses spectrum representation techniques used on single trees, pairs trees and finally in order to identify which representations are best suited particular tasks find gaps space, opportunities for future visualisation may exist. The application areas from where data derived enumerated, distinct structures that make combination with each other effect subsequent approaches their discussed, along...

10.1057/ivs.2009.29 article EN Information Visualization 2009-10-01

Visualization is coming of age. With visual depictions being seamlessly integrated into documents, and data visualization techniques used to understand increasingly large complex datasets, the term "visualization"' becoming in everyday conversations. But we are on a cusp; researchers need develop adapt today's new devices tomorrow's technology. Today, people interact with through mouse. Tomorrow, they'll be touching, swiping, grasping, feeling, hearing, smelling, even tasting data. The next...

10.1109/mcg.2014.82 article EN IEEE Computer Graphics and Applications 2014-08-15

In this paper, we explore graph comics as a medium to communicate changes in dynamic networks. While previous re- search has focused on visualizing networks for data exploration, want see if can take advantage of the visual expressiveness and familiarity present explain temporal an audience. To understand potential storytelling medium, first created variety during 3 month structured design process, involving domain experts from public education neuroscience. This process led definition 8...

10.1145/2858036.2858387 preprint EN 2016-05-05

High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatment, and prevention of diseases. There are however significant challenges to properly exploiting this data due its massive scale complexity. In particular, existing techniques found be ill suited finding patterns changing activity over limited interval an time frame. The Time-Series Explorer (TSE) was developed overcome limitation by...

10.1186/1471-2105-14-s19-s1 article EN cc-by BMC Bioinformatics 2013-11-01

By extending and instantiating an existing formal task framework, we define a taxonomy design space for temporal graph visualisation. We discuss the process involved in their generation, describe how can be 'sliced diced' into multiple overlapping categories, requiring distinct visual techniques support. The approach addresses deficiencies literature, offering domain independence, greater coverage, unambiguous specification. capture tasks graphs, also static multivariate comparison, will of...

10.1109/tvcg.2015.2424889 article EN IEEE Transactions on Visualization and Computer Graphics 2015-04-21

Plant breeders use an increasingly diverse range of data types to identify lines with desirable characteristics suitable be taken forward in plant breeding programmes. There are a number key morphological and physiological traits, such as disease resistance yield that need maintained improved upon if commercial variety is successful. Computational tools provide the ability integrate visualize this pedigree structure, will enable make better decisions on used crossings meet both demands for...

10.1186/1471-2105-15-259 article EN cc-by BMC Bioinformatics 2014-08-01

Model-based user interface development environments show promise for improving the productivity of developers, and possibly quality developed interfaces. While model-based techniques have previously been applied to area database interfaces, they not specifically targeted at important object applications. Such applications make use models that are semantically richer than their relational counterparts in terms both data structures application functionality. In general, addressed how...

10.1016/s0953-5438(01)00042-x article EN Interacting with Computers 2001-12-01

We introduce a number of refinements to the parallel coordinates visualisation metaphor for multidimensional data. Firstly, traditional set polylines are replaced with collection smooth curves across attribute axes, allowing individual data elements be traced under certain limitations; normally impossible due 'crossing problem'. Then notion spreading out points on axes few discrete values is introduced, which leads onto simple focus+context technique when user selects such axes.

10.1109/iv.2003.1217950 article EN 2004-01-24

This paper presents our work in mapping the design space of techniques for temporal graph visualisation. We identify two independent dimensions upon which can be classified: structural encoding and encoding. Based on these dimensions, we create a matrix into organise existing techniques. gaps this may prove interesting opportunities development novel also consider additional further useful classification could made. In organising disparate approaches from wide range domains, will assist...

10.2312/eurovisshort.20141149 article EN EuroVis (Short Papers) 2014-01-01

Abstract Categorising tasks is a common pursuit in the visualisation research community, with wide variety of taxonomies, typologies, design spaces, and frameworks having been developed over last three decades. While these classifications are universally purported to be useful both evaluation processes guiding future research, remarkably little attention has paid how have—and can be—constructed evaluated. In this paper we review task classification literature report on current practices...

10.1111/cgf.13167 article EN Computer Graphics Forum 2017-06-01

Summary Pullan, M. R., Watson, F., Kennedy, J. B., Raguenaud, C. & Hyam, R.: The Prometheus Taxonomic Model: a practical approach to representing multiple classifications. – Taxon 49: 55‐75. 2000. ISSN 0040‐0262. A model for taxonomic data in flexible and dynamic system capable of handling comparing simultaneous classifications is presented. Model takes as its basis the idea that taxon can be circumscribed by specimens or taxa lower rank which are said belong it. In this alternative...

10.2307/1223932 article EN Taxon 2000-02-01

There is little doubt that having a theoretic foundation will benefit the field of visualization, including its main subfields. Because there has been substantial amount work on taxonomies and conceptual models in visualization literature some recent frameworks, such not foolish or impractical ambition. This article asks, "How can we build for collectively as community?" The authors envision pathways four different aspects foundation: ontologies, principles guidelines, quantitative laws systems.

10.1109/mcg.2017.3271463 article EN IEEE Computer Graphics and Applications 2017-01-01

The visualisation of hierarchical information sets has been a staple Information Visualisation since the field came into being in early 1990's. However, at present, support for visualising correlations between multiple, overlapping lacking. This is despite realisation that certain tasks this as important forms individual hierarchies. In response to this, we have produced two prototypes, one based on graph visualisation, and other set-based metaphor, endeavour display such readily perceived...

10.1145/345513.345243 article EN 2000-05-01

We present a directed acyclic graph visualisation designed to allow interaction with set of multiple classification trees, specifically find overlaps and differences between groups trees individual trees. The work is motivated by the need representation for that has space-saving property general intuitive parent-child direction cues in Using example taxonomic data sets, we describe augmentations common barycenter DAG layout method reveal shared sets child nodes parents clearer manner. Other...

10.1109/tvcg.2007.70556 article EN IEEE Transactions on Visualization and Computer Graphics 2007-11-01

10.1006/ijhc.2000.0415 article EN International Journal of Human-Computer Studies 2000-11-01

Pedigree genotype datasets are used for analysing genetic inheritance and to map markers traits. Such consist of hundreds related animals genotyped thousands invariably contain multiple errors in both the pedigree structure associated individual data. These manifest as apparent inconsistencies pedigree, invalidate analyses marker patterns across dataset. Cleaning raw bad data points (incorrect relationships, unreliable assays, suspect samples, results etc.) requires expert exploration...

10.1186/1471-2105-13-s8-s5 article EN cc-by BMC Bioinformatics 2012-05-18
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