Fraunhofer Center for International Management and Knowledge Economy IMW
Mission »Data Science for Innovation«
We make knowledge in regions and organizations accessible, understandable and actionable.
Unit, Data Science for Innovation
The research unit “Data Science for Innovation“ develops digital tools for knowledge transfer and thus supports the innovative capacity of industry and research. To this end, the researchers build up an extensive data base and develop intelligent applications based on it using machine learning and network analyses. With their competencies in the field of data science and artificial intelligence, they support other researchers and companies and can contribute significantly to the successful transformation of economic and social structures.
Publications
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2024 | Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings Senger, Elena; Zhang, Mike; Goot, Rob van der; Plank, Barbara |
Paper |
| 2023 | How to find similar companies using websites? Bergmann, Jan-Peter; Amin, Miriam; Campbell Borges, Yuri Cassio; Trela, Karl |
Zeitschriftenaufsatz Journal Article |
| 2022 | Using vector representations for matching tasks to skills Amin, Miriam; Bergmann, Jan-Peter; Campbell Borges, Yuri Cassio |
Konferenzbeitrag Conference Paper |
| 2021 | Data-driven identification of idioms in song lyrics Amin, Miriam; Fankhauser, Peter; Kupietz, Marc; Schneider, Roman |
Konferenzbeitrag Conference Paper |
| 2021 | Shallow Context Analysis for German Idiom Detection Amin, Miriam; Fankhauser, Peter; Kupietz, Marc; Schneider, Roman |
Vortrag Presentation |
| 2021 | Ausgründungen aus der außeruniversitären Forschung: Gründungsdynamik und Erfolgsbedingungen im Ost-West-Vergleich Kahl, Julian; Dornbusch, Friedrich; Pohle, Anna; Trela, Karl; Weiße, Marlen |
Studie Study |
| 2021 | How to Find New Industry Partners for Public Research: A Classification Approach Trela, Karl; Campbell, Yuri; Dornbusch, Friedrich; Pohle, Anna |
Zeitschriftenaufsatz Journal Article |
| 2020 | Too big to see: Exploring proxies of structure in a real large-scale university-industry cooperation network Campbell, Yuri |
Vortrag Presentation |
| 2020 | A Survey on Approaches to Computational Humor Generation Amin, Miriam; Burghardt, M. |
Konferenzbeitrag Conference Paper |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica