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ORCIDThomas Krause 0004
Person information
- affiliation (PhD 2025): University of Hagen, Faculty of Mathematics and Computer Science, Germany
Other persons with the same name
- Thomas Krause — disambiguation page
- Thomas Krause 0001 — University of Karlsruhe, Germany
- Thomas Krause 0002 — Chemnitz Uniersity of Technology, Germany
- Thomas Krause 0003
![[0000-0002-4304-7154]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4304-7154")
— University of Hanover, Hannover, Germany
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Books and Theses
- 2025
[b2]Thomas Krause:
Empowering Medical Laboratories with Automated AI and Big Data Approaches to Genomics-Based Diagnostics. University of Hagen, Germany, 2025- 2019
- [b1]Thomas Krause:
ANNIS: A graph-based query system for deeply annotated text corpora. Humboldt University of Berlin, Germany, 2019
Journal Articles
- 2024
- [j2]Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl, Matthias L. Hemmje:
AI-Based User Empowerment for Empirical Social Research. Big Data Cogn. Comput. 8(2): 11 (2024) - 2023
- [j1]Thoralf Reis, Alexander Kreibich, Sebastian Bruchhaus, Thomas Krause, Florian Freund, Marco X. Bornschlegl, Matthias L. Hemmje:
An Information System Supporting Insurance Use Cases by Automated Anomaly Detection. Big Data Cogn. Comput. 7(1): 4 (2023)
Conference and Workshop Papers
- 2021
- [c3]Thomas Krause, Elena Jolkver, Sebastian Bruchhaus, Michael Kramer, Matthias L. Hemmje:
GenDAI - AI-Assisted Laboratory Diagnostics for Genomic Applications. BIBM 2021: 2253-2258 - 2020
- [c2]Thomas Krause, Bruno G. N. Andrade, Haithem Afli, Haiying Wang, Huiru Zheng, Matthias L. Hemmje:
Understanding the Role of (Advanced) Machine Learning in Metagenomic Workflows. AVI-BDA/ITAVIS@AVI 2020: 56-82 - [c1]Thoralf Reis, Thomas Krause, Marco X. Bornschlegl, Matthias L. Hemmje:
A Conceptual Architecture for AI-based Big Data Analysis and Visualization Supporting Metagenomics Research. CERC 2020: 264-272
Informal and Other Publications
- 2017
- [i1]Thomas Krause:
Towards the Improvement of Automated Scientific Document Categorization by Deep Learning. CoRR abs/1706.05719 (2017)
Coauthor Index
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