Demo Data from EDBT 2026 / reviewers in the wild / expert
Jonathan Lennartz
dblp:268/5570
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
0009-0003-0827-943XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Applied, 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 |
Information extraction and text analysis · 50% Deep learning architectures and training · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training › differentiable programming
differentiable algorithms |
0.5 | 1 | 2021 | Differentiable Segmentation of Sequences · ICLR 2021 |
Natural language and speech › Information extraction and text analysis › text segmentation
sequence segmentation |
0.5 | 1 | 2021 | Differentiable Segmentation of Sequences · ICLR 2021 |
Methods — techniques the papers use, named apart from their topics
differentiable programming · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Segmentation Distortion: Quantifying Segmentation Uncertainty Under Domain Shift via the Effects of Anomalous Activations
Jonathan Lennartz, Thomas Schultz 0001 |
MICCAI (3) | 1 |
| 2021 | Differentiable Segmentation of Sequences
Erik Scharwächter, Jonathan Lennartz, Emmanuel Müller |
ICLR | 2 |