Demo Data from SIGIR 2026 / reviewers in the wild / expert
Simone Huber
dblp:07/7251
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 77% Computational social science and digital humanities · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
agent-based simulation |
0.0 | 1 | 2009 | Modeling multi-cellular behavior in epidermal tissue homeostasis via finite state machines in multi-agent systems · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
multi-agent system · 0.1finite state machine · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Modeling multi-cellular behavior in epidermal tissue homeostasis via finite state machines in multi-agent systemsabstractMOTIVATION: For the efficient application of multi-agent systems to spatial and functional modeling of tissues flexible and intuitive modeling tools are needed, which allow the graphical specification of cellular behavior in a tissue context without presuming specialized programming skills. RESULTS: We developed a graphical modeling system for multi-agent based simulation of tissue homeostasis. An editor allows the intuitive and hierarchically structured specification of cellular behavior. The models are then automatically compiled into highly efficient source code and dynamically linked to an interactive graphical simulation environment. The system allows the quantitative analysis of the morphological and functional tissue properties emerging from the cell behavioral model. We demonstrate the relevance of the approach using a recently published model of epidermal homeostasis as well as a series of cell-cycle models. AVAILABILITY: The complete software is available in binary executables for MS-Windows and Linux at tiga.uni-hd.de. Thomas Sütterlin, Simone Huber, Hartmut Dickhaus, Niels Grabe |
Bioinform. | 2 |