Demo Data from EDBT 2026 / reviewers in the wild / expert
Rui A. P. Perdigão
dblp:122/0231
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0001-5543-1754ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › hierarchical data visualization
decision tree visualization |
0.2 | 1 | 2014 | Run Watchers: Automatic Simulation-Based Decision Support in Flood Management · IEEE Trans. Vis. Comput. Graph. 2014 |
Visualization and visual analytics › temporal data visualization
timeline visualization |
0.2 | 1 | 2014 | Run Watchers: Automatic Simulation-Based Decision Support in Flood Management · IEEE Trans. Vis. Comput. Graph. 2014 |
Visualization and visual analytics
visual analytics |
0.2 | 1 | 2014 | Run Watchers: Automatic Simulation-Based Decision Support in Flood Management · IEEE Trans. Vis. Comput. Graph. 2014 |
Methods — techniques the papers use, named apart from their topics
parallel simulation · 0.4clustering · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Run Watchers: Automatic Simulation-Based Decision Support in Flood ManagementabstractIn this paper, we introduce a simulation-based approach to design protection plans for flood events. Existing solutions require a lot of computation time for an exhaustive search, or demand for a time-consuming expert supervision and steering. We present a faster alternative based on the automated control of multiple parallel simulation runs. Run Watchers are dedicated system components authorized to monitor simulation runs, terminate them, and start new runs originating from existing ones according to domain-specific rules. This approach allows for a more efficient traversal of the search space and overall performance improvements due to a re-use of simulated states and early termination of failed runs. In the course of search, Run Watchers generate large and complex decision trees. We visualize the entire set of decisions made by Run Watchers using interactive, clustered timelines. In addition, we present visualizations to explain the resulting response plans. Run Watchers automatically generate storyboards to convey plan details and to justify the underlying decisions, including those which leave particular buildings unprotected. We evaluate our solution with domain experts. Artem Konev, Jürgen Waser, Bernhard Sadransky, Daniel Cornel, Rui A. P. Perdigão, Zsolt Horváth, M. Eduard Gröller |
IEEE Trans. Vis. Comput. Graph. | 5 |