VLDB 2026 Research / reviewers in the wild / expert
Simon Baur
dblp:359/9203
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 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 · 67% Trustworthy machine learning · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › text classification
multi-label text classification |
1.0 | 1 | 2026 | MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events · ACL (1) 2026 |
Natural language and speech › Information extraction and text analysis
text classification |
1.0 | 1 | 2026 | MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events · ACL (1) 2026 |
Machine learning › Trustworthy machine learning
uncertainty estimation |
1.0 | 1 | 2026 | MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events · ACL (1) 2026 |
Methods — techniques the papers use, named apart from their topics
benchmark construction · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse EventsabstractRaunak Agarwal, Markus A. Wenzel, Simon Baur, Jonas Zimmer, George Harvey, Jackie Ma. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Raunak Agarwal, Markus Wenzel 0002, Simon Baur, Jonas Zimmer, George Harvey, Jackie Ma |
ACL (1) | 3 |
| 2025 | Stray Light Calibration and Correction of EnMAP's Imaging SpectrometersabstractWe report on the on-ground stray light calibration of the hyperspectral Environmental Mapping and Analysis Program (EnMAP) satellite mission, which was successfully launched into space on April 1, 2022. EnMAP’s optical payload consists of a visible and near-infrared (VNIR) (420–1000 nm) and a short wavelength infrared (SWIR) (900–2450 nm) imaging spectrometer. Using a custom-built light source and a collimator, we determined the diffuse stray light by measuring the point spread functions (PSFs) at 12 spatial and 15 (11 VNIR, 4 SWIR) spectral positions with a dynamic range between eight and nine orders of magnitude. Additionally, we measured the out-of-field stray light in along-track direction over an angular range of ±0.2°, resulting in an along-track response function (AltRF) for each spectrometer unit with a dynamic range of$\sim 10^{7}$. To reduce memory usage and computational time, we use a binned stray light extraction matrix to correct the diffuse stray light. The along-track out-of-field stray light of individual frames is corrected by subtracting preceding and following frames that are weighted with the AltRF. Finally, we show with simulations the impact of both types of stray light on a test scene and evaluate the performance of the presented correction methods in the same manner. Andreas Baumgartner, Claas H. Köhler, Simon Baur, Richard Wachter, Leonhard Polz, Anna Serdyuchenko |
IEEE Trans. Geosci. Remote. Sens. | 3 |
| 2023 | Calibration and Validation of the Hyperspectral Mission EnMAP: Results of The Commissioning PhaseabstractSpaceborne imaging spectroscopy is undergoing a rapid expansion with a new generation of missions in recent years. Following the Hyperion (2000) and HICO (2009) missions, new spaceborne imaging spectroscopy missions have recently started operating: DESIS (2018), PRISMA (2019), HISUI (2019) and more recently EnMAP (2022) and EMIT (2022). These missions face the common challenge of providing accurate spectral and radiometric results over a wide spectral range. This requires accurate instrument calibration and the validation of the results obtained. In this contribution, we provide an overview of the calibration and validation (CalVal) activities in the EnMAP mission, and we present the CalVal results that were obtained as part of the commissioning phase (April - October 2022). Emiliano Carmona, Kevin Alonso 0001, Martin Bachmann, Simon Baur, Maximilian Brell, Sabine Chabrillat, Raquel De los Reyes, Sebastian Fischer 0003, Birgit Gerasch, Luis Guanter, Stefanie Holzwarth, Harald Krawczyk, Maximilian Langheinrich, Miguel Pato, Mathias Schneider, Peter Schwind, Karl Segl, Helge Witt, Tobias Storch |
IGARSS | 4 |