
- Daniel Obraczka
-
-
Jahr | Typ | Student | Titel | Status |
---|---|---|---|---|
2024 | B. Sc. | Luan de Paiva Orsini | Optimizing Retrieval in a Graph RAG System | Finished |
2023 | M. Sc. | Steven Lehmann | Link Prediction als Möglichkeit zur automatisierten Personaleinsatzplanung | Finished |
2022 | B. Sc. | Jonathan Weske | Standzeitvorhersage innerhalb eines Fahrradverleihsystems | Finished |
2022 | M. Sc. | Duong Trung Duong | Scalable and Accurate Decision Tree Learning for Entity Resolution | Finished |
2021 | B. Sc. | Tinsaye Abye | TF-IDF for Entity Resolution in huge Knowledge Graphs | Finished |
Dateien | Cover | Beschreibung | Jahr |
---|---|---|---|
![]() |
Obraczka, D.
; Saeedi, A.
; Rahm, E.
Proc. KDD workshop on Data Integration to Knowledge Graphs (DI2KG) (DI2KG Challenge Winner)
|
2019 / 8 | |
![]() |
2019 | ||
![]() |
Georgala, K.
; Obraczka, D.
; Ngomo, A.
The Semantic Web, ESWC 2018, Lecture Notes in Computer Science
|
2018 |