- 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.
; Rahm, E.
24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24)
|
2024 / 11 | ||
2024 / 8 | |||
2023 / 2 | |||
2023 / 2 | |||
2022 / 10 | |||
Obraczka, D.
; Rahm, E.
Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (Best Student Paper Candidate)
|
2021 / 10 | ||
Obraczka, D.
; Schuchart, J.
; Rahm, E.
Proc. ESWC workshop on Knowledge Graph Construction (KGCW), 2021
|
2021 / 6 | ||
Ngomo, A.
; Sherif, M.
; Georgala, K.
; Hassan, M.
; Dreßler, K.
; Lyko, K.
; Obraczka, D.
; Soru, T.
KI - Künstliche Intelligenz, German Journal of Artificial Intelligence - Organ des Fachbereichs \"Künstliche Intelligenz\" der Gesellschaft für Informatik e.V.
|
2021 / 4 | ||
2021 / 1 | |||
2019 / 10 |