The Oberseminar of the database group took place from May 23th to May 26th, 2023 in Darlingerode (Harz).
Talks
(Knowledge) Graphs
- Steven Lehmann: Link Prediction in Human Resource Management (bachelor thesis)
- Adrian Kuhn: Metadata Enrichment in the DBpedia Databus Ecosystem (bachelor thesis)
- Daniel Obraczka: Blocking for Knowledge Graphs
- Mouna Ammar: Self introduction
- Marvin Hover: Constructing, Benchmarking and Accessing (Domain)-Specific Knowledge Graphs
- Andre Wille: Temporal Graph Heatmap (bachelor thesis)
- Karim Rakia: Exchange of the Dataset API of Gradoop (bachelor thesis)
Privacy & Security
- Maximilian Heykeroth: Dataset Analysis for PPML (bachelor thesis)
- Lucas Lange: Recent Work in PPML
- Maja Schneider: Federated sharing of location data
- Manh Le Dac: Extension of Frost/Snowman for tag-based linkage result analysis (bachelor thesis)
- Florens Rohde: Multi-Stage Active Learning for PPRL
Physics-informed Machine Learning
- Benjamin Uhrich: Physics-informed Machine Learning in Complex Systems
Life Science
- Julius Ellermann: Data augmentation to predict dceMRI breast cancer images (master thesis)
- Marie-Sophie von Braun: Tissue outcome prediction in acute ischemic stroke based on multimodal CT imaging
- Dusan Prasevic: Self introduction
- Christian Martin: Life Science and Medicine Topics at ScaDS.AI
Schedule
See Moodle course for details.
v.r.n.l: Christopher Rost, Andre Wille, Florens Rohde, Prof. Dr. Erhard Rahm, Karim Rakia, Christian Martin (oben), Julius Ellermann (oben), Marie-Sophie von Braun, Victor Christen, Daniel Obraczka, Lucas Lange, Adrian Kuhn, Maximilian Heykeroth, Marvin Hofer, Mouna Ammar, Martin Franke.