Outputs (492)

Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data. (2005)
Journal Article
Craig, P., Kennedy, J., & Cumming, A. (2005). Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data. Information Visualization, 4(3), 149-163. https://doi.org/10.1057/palgrave.ivs.9500101

Microarray technologies are a relatively new development that allow biologists to monitor the activity of thousands of genes (normally around 8,000) in parallel across multiple stages of a biological process. While this new perspective on biological... Read More about Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data..

Extending Taxonomic Visualisation to Incorporate Synonymy and Structural Markers (2005)
Journal Article
Graham, M., & Kennedy, J. (2005). Extending Taxonomic Visualisation to Incorporate Synonymy and Structural Markers. Information Visualization, 4(3), 206-223. https://doi.org/10.1057/palgrave.ivs.9500096

The visualisation of taxonomic hierarchies has evolved from indented lists of names to techniques that can display thousands of nodes and onto hundreds of thousands of nodes over multiple taxonomies. However, challenges remain within multiple hierarc... Read More about Extending Taxonomic Visualisation to Incorporate Synonymy and Structural Markers.

Achieving seamless component composition through scenario-based deep adaptation and generation (2005)
Journal Article
Liu, X., Wang, B. H. (., & Kerridge, J. (2005). Achieving seamless component composition through scenario-based deep adaptation and generation. Science of Computer Programming, 56(1-2), 157-170. https://doi.org/10.1016/j.scico.2004.11.010

Mismatches between pre-qualified existing components and the particular reuse context in applications have been a major factor hindering component reusability and successful composition. Although component adaptation has acted as a key solution of el... Read More about Achieving seamless component composition through scenario-based deep adaptation and generation.

The Prometheus Description Model: an examination of the taxonomic description-building process and its representation (2005)
Journal Article
Pullan, M. R., Armstrong, K. E., Paterson, T., Cannon, A., Kennedy, J. B., Watson, M. F., McDonald, S. M., & Raguenaud, C. (2005). The Prometheus Description Model: an examination of the taxonomic description-building process and its representation. Taxon, 54(3), 751-765. https://doi.org/10.2307/25065431

A model for representing taxonomic descriptive data is presented. The model has been developed in response to the growing requirement for the global exchange of descriptive data. Meaningful exchange of data requires that data be represented in a form... Read More about The Prometheus Description Model: an examination of the taxonomic description-building process and its representation.

Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges (2023)
Journal Article
Liu, Q., Yang, Z., Ji, R., Zhang, Y., Bilal, M., Liu, X., Vimal, S., & Xu, X. (2023). Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges. IEEE Systems, Man, and Cybernetics Magazine, 9(4), 4-12. https://doi.org/10.1109/msmc.2022.3216943

Radars are widely used to obtain echo information for effective prediction, such as precipitation nowcasting. In this article, recent relevant scientific investigation and practical efforts using deep learning (DL) models for weather radar data analy... Read More about Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges.

Exploring and examining assessment data via a matrix visualisation (2004)
Presentation / Conference Contribution
Graham, M., & Kennedy, J. (2004, May). Exploring and examining assessment data via a matrix visualisation. Presented at Proceedings of the working conference on Advanced visual interfaces - AVI '04, Gallipoli, Italy

OPAL (Online PArtner Lens) is an application designed to match project requirements with suitable teams and individuals, and as part of its matching process features an evaluation mechanism designed to elicit measures of trust between potential partn... Read More about Exploring and examining assessment data via a matrix visualisation.

A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter (2023)
Journal Article
Liu, Q., Zeng, L., Bilal, M., Song, H., Liu, X., Zhang, Y., & Cao, X. (2023). A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter. IEEE Transactions on Green Communications and Networking, 7(4), 1667 - 1677. https://doi.org/10.1109/tgcn.2023.3283509

Supply chain management is a vital part of ensuring service quality and production efficiency in industrial applications. With the development of cloud computing and data intelligence in modern industries, datacenters have become an important basic s... Read More about A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter.

To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features (2023)
Presentation / Conference Contribution
Vermetten, D., Wang, H., Sim, K., & Hart, E. (2023, April). To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features. Presented at Evo Applications 2023, Brno, Czech Republic

Dynamic algorithm selection aims to exploit the complementarity of multiple optimization algorithms by switching between them during the search. While these kinds of dynamic algorithms have been shown to have potential to outperform their component a... Read More about To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features.

Improving the student learning experience for SQL using automatic marking. (2004)
Presentation / Conference Contribution
Russell, G., & Cumming, A. (2004, December). Improving the student learning experience for SQL using automatic marking. Presented at Cognition and Expolaratory Learning in Digital Age (CELDA 2004), Hotel Altis, Lisbon, Portugal

An online interactive learning environment which offers immediate feedback to student learning SQL was constructed. This has supported the gathering of interesting statistics on student behaviour. Changes to the environment targeted at improving stud... Read More about Improving the student learning experience for SQL using automatic marking..

Explainable AI-Based DDOS Attack Identification Method for IoT Networks (2023)
Journal Article
Kalutharage, C. S., Liu, X., Chrysoulas, C., Pitropakis, N., & Papadopoulos, P. (2023). Explainable AI-Based DDOS Attack Identification Method for IoT Networks. Computers, 12(2), Article 32. https://doi.org/10.3390/computers12020032

The modern digitized world is mainly dependent on online services. The availability of online systems continues to be seriously challenged by distributed denial of service (DDoS) attacks. The challenge in mitigating attacks is not limited to identify... Read More about Explainable AI-Based DDOS Attack Identification Method for IoT Networks.

Ontology-Driven Automated Generation of Data Entry Interfaces to Databases (2004)
Presentation / Conference Contribution
Cannon, A., Kennedy, J. B., Paterson, T., & Watson, M. F. (2004, July). Ontology-Driven Automated Generation of Data Entry Interfaces to Databases. Presented at Key Technologies for Data Management (Proc. BNCOD21): Lecture Notes in Computer Science 3112, Edinburgh, Scotland

This paper discusses an ontology based approach for the automatic generation of data entry interfaces to databases. An existing domain ontology is mapped to a system domain model, which a domain expert can then specialise using their domain expertise... Read More about Ontology-Driven Automated Generation of Data Entry Interfaces to Databases.

Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract) (2022)
Presentation / Conference Contribution
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022, September). Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). Presented at 27th European Symposium on Research in Computer Security (ESORICS) 2022, Copenhagen, Denmark

Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detecting attacks. However, the lack of transparency in their decision-making pro... Read More about Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract).

Modelling the Impact of Individual Preferences on Traffic Policies (2022)
Journal Article
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2022). Modelling the Impact of Individual Preferences on Traffic Policies. SN Computer Science, 3(5), Article 365. https://doi.org/10.1007/s42979-022-01253-3

Urban traffic is a system always prone to overload, often approaching breakdown during rush hour times. Well adjusted modifications of traffic policies, with appropriate interventions, promise potential improvements by inducing change in both individ... Read More about Modelling the Impact of Individual Preferences on Traffic Policies.

Teallach — a flexible user-interface development environment for object database applications (2003)
Journal Article
Barclay, P. J., Griffiths, T., McKirdy, J., Kennedy, J., Cooper, R., Paton, N. W., & Gray, P. (2003). Teallach — a flexible user-interface development environment for object database applications. Journal of Visual Languages and Computing, 14(1), 47-77. https://doi.org/10.1016/s1045-926x%2802%2900056-3

The Teallach project has adapted model-based user-interface development techniques to the systematic creation of user-interfaces for object-oriented database applications. Model-based approaches aim to provide designers with a more principled approac... Read More about Teallach — a flexible user-interface development environment for object database applications.

CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets (2022)
Journal Article
Yang, Z., Liu, Q., Wu, H., Liu, X., & Zhang, Y. (2023). CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets. Computer Modeling in Engineering and Sciences, 135(1), 45-64. https://doi.org/10.32604/cmes.2022.022045

Accurate precipitation nowcasting can provide great convenience to the public so they can conduct corresponding arrangements in advance to deal with the possible impact of upcoming heavy rain. Recent relevant research activities have shown their conc... Read More about CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets.

Coordinated graph and scatter-plot views for the visual exploration of microarray time-series data (2003)
Presentation / Conference Contribution
Craig, P., & Kennedy, J. (2003). Coordinated graph and scatter-plot views for the visual exploration of microarray time-series data. In IEEE Symposium on Information Visualization (173-180). https://doi.org/10.1109/infvis.2003.1249023

Microarrays are a relatively new, high-throughput data acquisition technology for investigating biological phenomena at the micro-level. The product of microarray experiments is large-scale time-series data, which subject to proper analysis has the p... Read More about Coordinated graph and scatter-plot views for the visual exploration of microarray time-series data.

Using curves to enhance parallel coordinate visualisations (2003)
Presentation / Conference Contribution
Graham, M., & Kennedy, J. (2003, July). Using curves to enhance parallel coordinate visualisations. Presented at Seventh International Conference on Information Visualization, 2003. IV 2003., London, UK

This paper introduces a number of refinements to the Parallel Coordinates visualisation metaphor for multi-dimensional data. Firstly, the traditional set of poly-lines are replaced with a collection of smooth curves across the attribute axes, allowin... Read More about Using curves to enhance parallel coordinate visualisations.

Supporting taxonomic names in cell and molecular biology databases (2003)
Journal Article
Kennedy, J. (2003). Supporting taxonomic names in cell and molecular biology databases. OMICS, 7(1), 13-16. https://doi.org/10.1089/153623103322006508

Groups of organisms require labels or names to refer to them; however, the idea of a single static name index, although tempting for its simplicity, is both impractical and unadvisable as a basis for referring to organisms for which data has been col... Read More about Supporting taxonomic names in cell and molecular biology databases.

Near-Data Prediction Based Speculative Optimization in a Distribution Environment (2022)
Journal Article
Liu, Q., Wu, X., Liu, X., Zhang, Y., & Hu, Y. (2022). Near-Data Prediction Based Speculative Optimization in a Distribution Environment. Mobile Networks and Applications, 27(6), 2339-2347. https://doi.org/10.1007/s11036-021-01793-7

Hadoop is an open source from Apache with a distributed file system and MapReduce distributed computing framework. The current Apache 2.0 license agreement supports on-demand payment by consumers for cloud platform services, helping users leverage th... Read More about Near-Data Prediction Based Speculative Optimization in a Distribution Environment.

A methodology for composing well-defined character descriptions. (2003)
Report
Paterson, T., Cannon, A., Raguenaud, C., Russell, G., Armstrong, K. E., MacDonald, S. M., …Kennedy, J. (2003). A methodology for composing well-defined character descriptions

Taxonomy has been described as “the science of documenting biodiversity”, which involves collecting, naming, describing, identifying and classifying specimens of organisms (Keogh, 1995). Descriptions are the fundamental information units used in the... Read More about A methodology for composing well-defined character descriptions..