Demo Data from SIGIR 2026 / reviewers in the wild / expert
Javier Rodríguez-Cuadrado
dblp:256/3210
· DBLP profile ↗
2ranked-venue papers
2as first author
1since 2021 · last 2024
0000-0003-1315-8977ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
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 |
Geometric modeling and processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › procedural modeling
fractal surfaces |
0.8 | 1 | 2024 | Design of Random and Deterministic Fractal Surfaces from Voronoi Cells · Comput. Aided Des. 2024 |
Geometric modeling and processing › shape modeling › surface modeling
surface generation |
0.8 | 1 | 2024 | Design of Random and Deterministic Fractal Surfaces from Voronoi Cells · Comput. Aided Des. 2024 |
Methods — techniques the papers use, named apart from their topics
voronoi tessellation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Design of Random and Deterministic Fractal Surfaces from Voronoi CellsabstractWe show a fractal surface generation method that, unlike other methods, generates both random and deterministic fractals that model natural and architectural elements. The method starts with a succession of sets of sites, which determine, by means of a metric, a succession of Voronoi tessellations of the region where the fractal is defined. For each element of the tessellation sequence we define a tessellation function which depends on each tile. This generates a succession of tessellation functions that will be the parameter of the same seed function. Finally, the fractal is generated by a weighted sum of the seed function evaluated on each value of the succession of parameters. If the sites used to generate the Voronoi tessellation are random, natural elements such as mountains, craters, lakes, etc. are generated; if they are deterministic, architectural and decorative elements are generated. In addition, the designers can control the morphology of the generated fractal by simply varying the metric. Javier Rodríguez-Cuadrado, Jesús San Martín |
Comput. Aided Des. | 1 |
| 2020 | Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees
Javier Rodríguez-Cuadrado, David Delgado-Gómez, Juan C. Laria, Sara Rodríguez-Cuadrado |
Expert Syst. Appl. | 1 |