| Title | Subject | Supervisor | Person in Charge |
|---|---|---|---|
| Optimizing Autonomous Healthcare Logistics: Deep Learning Approaches to Demand Prediction in the MediCar 4.0 Project | Dr. Tobias Käfer, Lucas Cazzonelli |
Nick Henze | |
| Using Named Entities as Semantic Tokens in Beam Search Decoding | Michael Färber, Nicholas Popovic |
Philip Heller | |
| Querying Knowledge Graphs to Increase the Accuracy of Large Language Model-based Systems for Question Answering | Tobias Käfer, Lukas Kinder |
David Paul Mark | |
| Masterarbeit | Dr. Tobias Käfer |
Lukas Kubelka | |
| Incorporating Content-based Features into Quantum Knowledge Graph Embeddings | Prof. Michael Färber Erster Prüfer: Prof. Michael Färber Zweiter Prüfer: Prof. Andreas Oberweis |
Jonas Hendl | |
| Interaktive SPARQL-Abfrage-Optimierung | Tobias Käfer (tobias.kaefer@kit edu) |
| Titel | Semester | Typ |
|---|---|---|
| Seminar Data Science & Real-time Big Data Analytics (Master) | SS 2024 | Seminar (S) |
| Seminar Data Science & Real-time Big Data Analytics (Bachelor) | SS 2024 | Seminar (S) |
| Seminar Real-World Challenges in Data Science und Analytics (Master) | WS 24/25 | Seminar / Praktikum (S/P) |
| Seminar Linked Data and the Semantic Web (Master) | WS 23/24 | Seminar (S) |
| Seminar Linked Data and the Semantic Web (Bachelor) | WS 23/24 | Seminar (S) |
| Angewandte Informatik - Anwendungen der Künstlichen Intelligenz | WS 24/25 | Vorlesung (V) |
| Seminar Knowledge Discovery and Data Mining (Master) | SS 2024 | Seminar (S) |
| Seminar Knowledge Discovery and Data Mining (Bachelor) | SS 2024 | Seminar (S) |
| Grundlagen der Informatik I | SS 2024 | Vorlesung (V) |
| Übungen zu Grundlagen der Informatik I | SS 2024 | Übung (Ü) |
| Semantic Web Technologies | SS 2024 | Vorlesung (V) |
| Übungen zu Semantic Web Technologies | SS 2024 | Übung (Ü) |