InnoMA Grant Accepted
The lecture Data Science Lab by Tobias Weller has been selected for funding by the InnoMA grant fund ...
Paper accepted in PVLDB 2022: Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques
The paper “Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques” by ...
Paper accepted for IEEE ICDE
The paper “GECCO: Constraint-driven Abstraction of Low-level Event Logs” by Adrian Rebmann and Han ...
Paper accepted for NeurIPS 2021
The paper “Efficient Learning of Discrete-Continuous Computation Graphs” by David Friede and Mathias ...
3.5 Papers Accepted for ACL!
Four papers by DWS authors have been accepted for ACL, the #1 publication venue for the research ...
Fulbright Scholarship for Michael Pernpeintner
Michael Pernpeinter, PhD Student in the AI Group successfully applied for a Fulbrigth Scholarship to ...
Paper accepted at ISWC 2021
Our paper “Background Knowledge in Schema Matching: Strategy vs. Data” has been accepted at the 20th ...
Paper accepted at PAAMS
The paper “Winning at Any Cost – Infringing the Cartel Prohibition With Reinforcement Learning” was ...
Paper Accepted for the IEEE Conference on AI Testing
The paper “Towards Trace-Graphs for Data-driven Test Case Mining in the Domain of Automated Driving” ...
Paper accepted at ISWC 2021
The paper “Graph-boosted Active Learning for Multi-Source Entity Resolution” by Anna Primpeli and ...