Publications by authors named "R Jianu"
Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.
Philos Trans A Math Phys Eng Sci
October 2022
Article Synopsis
- The report discusses a collaboration between epidemiological modellers and visualization researchers to improve the understanding and modeling of the COVID-19 pandemic through existing visualization techniques.
- It highlights the effectiveness of visualization in epidemiological research, identifies ongoing challenges in the field, and offers recommendations for future collaborations.
- The goal is to encourage both scientific and visualization communities to work together, leveraging their strengths to tackle significant data-related challenges in epidemiology and other areas.
The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more.
View Article and Find Full Text PDFNode-Link or Adjacency Matrices: Old Question, New Insights.
IEEE Trans Vis Comput Graph
October 2019
Visualizing network data is applicable in domains such as biology, engineering, and social sciences. We report the results of a study comparing the effectiveness of the two primary techniques for showing network data: node-link diagrams and adjacency matrices. Specifically, an evaluation with a large number of online participants revealed statistically significant differences between the two visualizations.
View Article and Find Full Text PDFComputational cognitive neuroimaging approaches can be leveraged to characterize the hierarchical organization of distributed, functionally specialized networks in the human brain. To this end, we performed large-scale mining across the BrainMap database of coordinate-based activation locations from over 10,000 task-based experiments. Meta-analytic coactivation networks were identified by jointly applying independent component analysis (ICA) and meta-analytic connectivity modeling (MACM) across a wide range of model orders (i.
View Article and Find Full Text PDF