Outputs (2)

BayesPiles: Visualisation Support for Bayesian Network Structure Learning (2018)
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), Article 5. 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 this feld, heuristic algorithms explore the space of possible network solutio... Read More about BayesPiles: Visualisation Support for Bayesian Network Structure Learning.

Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study (2018)
Conference Proceeding
Kerracher, N., Kennedy, J., & Chalmers, K. (2018). Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study. In J. Johansson, F. Sadlo, & T. Schreck (Eds.), Proceedings of the 2018 Eurographics Conference on Visualization (EuroVis 2018) - Short Papers (79-83). https://doi.org/10.2312/eurovisshort.20181082

Task classifications are widely purported to be useful in the design process, with various suggestions having been made for their use at the different stages. However, little has been written regarding the actual use of task classifications in these... Read More about Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study.