Demo Data from SIGIR 2026 / reviewers in the wild / expert
Navid Bazzazzadeh
dblp:30/9922
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorComputer networks · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering
complex systems |
0.1 | 1 | 2011 | Reconstructing the Stochastic Evolution Diagram of Dynamic Complex Systems · AAAI 2011 |
Methods — techniques the papers use, named apart from their topics
random set theory · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Reconstructing the Stochastic Evolution Diagram of Dynamic Complex SystemsabstractThe behavior and dynamics of complex systems are in focus of many research fields. The complexity of such systems comes not only from the number of their elements, but also from the unavoidable emergence of new properties of the system, which are not just a simple summation of the properties of its elements. The behavior of complex systems can be fitted with a number of well developed models, which, however, do not incorporate the modularity and the evolution of a system simultaneously. In this work, we propose a generalized model that addresses this issue. Our model is developed within the Random Set Theory’s framework and allows for reconstructing the stochastic evolution diagrams of complex systems. Navid Bazzazzadeh, Benedikt Brors, Roland Eils |
AAAI | 1 |
| 2011 | Reconstructing evolutionary modular networks from time series data
Navid Bazzazzadeh, Benedikt Brors, Roland Eils |
FUSION | 1 |
| 2007 | A scalable group communication mechanism for mobile agents
Hojjat Jafarpour, Nasser Yazdani, Navid Bazzazzadeh |
J. Netw. Comput. Appl. | 3 |