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Outputs (8)

Poxels: polygonal voxel environment rendering (2014)
Presentation / Conference Contribution
Miller, M., Cumming, A., Chalmers, K., Kenwright, B., & Mitchell, K. (2014, November). Poxels: polygonal voxel environment rendering. Presented at Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology - VRST '14

We present efficient rendering of opaque, sparse, voxel environments with data amplified in local graphics memory with stream-out from a geomery shader to a cached vertex buffer pool. We show that our Poxel rendering primitive aligns with optimized r... Read More about Poxels: polygonal voxel environment rendering.

Student behaviour in a flexible learning course framework. (2011)
Presentation / Conference Contribution
Russell, G., & Cumming, A. (2011, July). Student behaviour in a flexible learning course framework

Flexible learning approaches to education are important in modern Universities. Students should be able to choose how they will study their courses, and educators should be prepared to support students in their choices, and guide students to employ s... Read More about Student behaviour in a flexible learning course framework..

Time-series Explorer: An Animated Information Visualisation for Microarray Time-course Data (2005)
Journal Article
Craig, P., Kennedy, J., & Cumming, A. (2005). Time-series Explorer: An Animated Information Visualisation for Microarray Time-course Data. BMC Bioinformatics, 6(Suppl 3), P8. https://doi.org/10.1186/1471-2105-6-S3-P8

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 Time-series Explorer: An Animated Information Visualisation for Microarray Time-course Data.

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..

Coordinated parallel views for the exploratory analysis of microarray time-course data. (2005)
Presentation / Conference Contribution
Craig, P., Kennedy, J., & Cumming, A. (2005, July). Coordinated parallel views for the exploratory analysis of microarray time-course data. Presented at Third International Conference on Coordinated & Multiple Views in Exploratory Visualization

Microarray time-course data relate to the recorded activity of thousands of genes, in parallel, over multiple discrete points in time during a biological process. Existing techniques that attempt to support the exploratory analysis of this data rely... Read More about Coordinated parallel views for the exploratory analysis of microarray time-course data..

Towards visualising temporal features in large scale microarray time-series data. (2002)
Presentation / Conference Contribution
Craig, P., Kennedy, J., & Cumming, A. (2002, July). Towards visualising temporal features in large scale microarray time-series data. Presented at 6th International Conference on Information Visualisation - IV2002

Current techniques for visualising large-scale microarray data are unable to present temporal features without reducing the number of elements being displayed. This paper introduces a technique that overcomes this problem by combining a novel display... Read More about Towards visualising temporal features in large scale microarray time-series data..

Multiple traffic signal control using a genetic algorithm (1999)
Presentation / Conference Contribution
Kalganova, T., Russell, G., & Cumming, A. (1999, December). Multiple traffic signal control using a genetic algorithm. Presented at 4th International Conference on Artificial Neural Networks and Genetic Algorithms, ICANNGA '99

Optimising traffic signal timings for a multiple-junction road network is a difficult but important problem. The essential difficulty of this problem is that the traffic signals need to coordinate their behaviours to achieve the common goal of optimi... Read More about Multiple traffic signal control using a genetic algorithm.