Demo Data from EDBT 2026 / reviewers in the wild / expert
Dana Rahbani
dblp:238/0365
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0003-0976-6849ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 1 since 2021Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 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.
| Artificial intelligence
1 paper |
3D vision · 77% Probabilistic and Bayesian machine learning · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › geometric estimation › 3d registration
surface registration |
0.4 | 1 | 2020 | A Closest Point Proposal for MCMC-based Probabilistic Surface Registration · ECCV (17) 2020 |
Machine learning › Probabilistic and Bayesian machine learning › monte carlo methods
markov chain monte carlo |
0.1 | 1 | 2020 | A Closest Point Proposal for MCMC-based Probabilistic Surface Registration · ECCV (17) 2020 |
Methods — techniques the papers use, named apart from their topics
markov chain monte carlo · 0.4closest point proposal · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction
Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Jonathan Aellen, Thomas Vetter |
MICCAI (5) | 1 |
| 2020 | A Closest Point Proposal for MCMC-based Probabilistic Surface Registration
Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi |
ECCV (17) | 4 |