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, 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)
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)
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