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Matthias Täschner

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  • Matthias Täschner
  • matthias.taeschner@uni-leipzig.de
  • +49 341 97 39311
  • ScaDS.AI Dresden / Leipzig, Humboldtstr. 25, 04105 Leipzig 

About

  • Since 2019 Researcher at Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Leipzig)
  • M.Sc. (Computer Science), Leipzig University, February 2019
  • B.Sc. (Media Informatics), Leipzig University of Applied Sciences, December 2016

Publications (4)

Dateien Cover Beschreibung Jahr
Automated Configuration of Schema Matching Tools: A Reinforcement Learning Approach
Miazga, M. P. ; Abitz, D. ; Täschner, M. ; Rahm, E.
Proc. BTW 2025
2025 / 3
Distributed temporal graph analytics with GRADOOP
Rost, C. ; Gomez, K. ; Täschner, M. ; Fritzsche, P. ; Schons, L. ; Christ, L. ; Adameit, T. ; Junghanns, M. ; Rahm, E.
VLDB Journal 2021 Special Issue Paper
2021 / 5
Graph Sampling with Distributed In-Memory Dataflow Systems
Gomez, K. ; Täschner, M. ; Rostami, M. ; Rost, C. ; Rahm, E.
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2021
2021 / 3
Distributed Graph Sampling with In-Memory Dataflow Systems
Gomez, K. ; Täschner, M. ; Rostami, M. ; Rost, C. ; Rahm, E.
Techn. Report, Univ. of Leipzig, arXiv:1910.04493, Oct 2019
2019 / 10

Recent publications

  • 2025 / 9: Generating Semantically Enriched Mobility Data from Travel Diaries
  • 2025 / 8: Slice it up: Unmasking User Identities in Smartwatch Health Data
  • 2025 / 7: MPGT: Multimodal Physics-Constrained Graph Transformer Learning for Hybrid Digital Twins
  • 2025 / 6: Leveraging foundation models and goal-dependent annotations for automated cell confluence assessment
  • 2025 / 6: SecUREmatch: Integrating Clerical Review in Privacy-Preserving Record Linkage

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