VLDB 2026 Research / reviewers in the wild / expert
Maximilian Auch
dblp:273/7392
· DBLP profile ↗
5ranked-venue papers
3as first author
4since 2021 · last 2025
0000-0002-4860-7464ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 1 first-author · 3 since 2021Software engineering, systems software and programming languages · 2 · 2 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Is It Professional or Exploratory? Classifying Repositories Through README Analysis
Maximilian Auch, Maximilian Balluff, Peter Mandl 0001, Christian Wolff 0001 |
ENASE | 1 |
| 2024 | HOCON34k: A Corpus of Hate Speech in Online Comments from German Newspapers
Max-Emanuel Keller, Maximilian Auch, Alexander Döschl, Fabian Vlk, Julian Quernheim, Mike Hartmann, Peter Mandl 0001, Alexander Kaul, Markus Franz |
iiWAS (1) | 2 |
| 2021 | Similarity of Software Libraries: A Tag-based Classification Approach
Maximilian Auch, Maximilian Balluff, Peter Mandl 0001, Christian Wolff 0001 |
DATA | 1 |
| 2021 | CoSim: An Approach to Calculate Complex Object SimilarityabstractComplex objects are often described by several attributes of arbitrary types. To calculate the similarity between complex objects, we propose the CoSim process, which provides a composed similarity function. CoSim applies existing similarity functions for each data type of the object. To calculate the overall similarity, we weight these type-specific similarities. We demonstrate the practical application of our approach by using a simple example of objects. The example involves numerical and categorical attributes. However, our presented idea is applicable to objects with attributes of arbitrary types. Eshref Januzaj, Manuel Weber, Max-Emanuel Keller, Maximilian Auch, Peter Mandl 0001 |
iiWAS | 4 |
| 2020 | Similarity-based analyses on software applications: A systematic literature review
Maximilian Auch, Manuel Weber, Peter Mandl 0001, Christian Wolff 0001 |
J. Syst. Softw. | 1 |