Data Science
Aus Aifbportal
=Data Science=
Beteiligte Personen
- Dr. Michael Färber
- Dr.-Ing. Tobias Käfer
- Prof. Dr. Sanja Lazarova-Molnar
- M.Sc. Ebrahim Norouzi
- M.Sc. Nicholas Popovic
- M.Sc. Zhan Qu
- M.Sc. Fabian Rybinski
- Prof. Dr. York Sure-Vetter
- M.Sc. Angew. Inf. Meike Ullrich
Lehrveranstaltungen
| Typ | Semester | Name | Link |
|---|---|---|---|
| Seminar | SS | Data Science & Real-Time Big Data Analytics | Lehre/Praktikum Data Science & Real-time Big Data Analytics |
| Seminar | SS | Graph Representation Learning | Lehre/Seminar Graph Representation Learning |
| Seminar | SS | Knowledge Discovery and Data Mining | Lehre/Seminar Knowledge Discovery and Data Mining |
| Vorlesung | WS | Anwendungen der KI | Lehre/Vorlesung Anwendungen der Künstlichen Intelligenz |
| Vorlesung | WS | Knowledge Discovery | Lehre/Vorlesung Knowledge Discovery |
| Vorlesung | SS | Semantic Web Technologies | Lehre/Vorlesung Semantic Web Technologies |
Aktive Projekte
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KIWI |
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SDC MoMaF |
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SofDCar |
Veröffentlichungen zum Forschungsgebiet
Article
Michael Färber, Jannik Schwade, Adam JatowtMeasuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election
arXiv, 2023
(Details)
Michael Färber, Lin Ao
The Microsoft Academic Knowledge Graph Enhanced: Author Name Disambiguation, Publication Classification, and Embeddings
Quantitative Science Studies, Februar, 2022
(Details)
Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin, Ali Sunyaev
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19
Scientific Reports, 11, (1), Seiten 9414, Mai, 2021
(Details)
Michael Färber, Carsten Menne, Andreas Harth
A Linked Data Wrapper for CrunchBase
Semantic Web Journal, 9, (4), Seiten 505–5015, 2018
(Details)
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inproceedings
Konstantin D. Pandl, Fabian Feiland, Scott Thiebes, Ali SunyaevTrustworthy machine learning for health care: scalable data valuation with the shapley value
Proceedings of the Conference on Health, Inference, and Learning, Seiten: 47–57, Association for Computing Machinery (ACM), April, 2021
(Details)
Michael Färber
Analyzing the GitHub Repositories of Research Papers
Proceedings of the 20th ACM/IEEE Joint Conference on Digital Libraries (JCDL'20), ACM, Xi'an, China
(Details)
Michael Färber, Victoria Burkard, Adam Jatowt, Lim Sora
A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias
Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM'20), ACM, Galway, Ireland
(Details)
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