Simon Baur

dblp:359/9203 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › text classification
multi-label text classification
1.012026
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
1.012026
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
1.012026
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
YearPublicationVenuePosition
2026 MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events
abstract
Raunak 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 Spectrometers
abstract
We 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 Phase
abstract
Spaceborne 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
IGARSS4