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7 Publications


2019 | Encyclopedia Article | LibreCat-ID: 8312 | OA
Bäumer, F. S., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing. In encyclopedia.pub. Basel, Switzerland: MDPI.
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2019 | Journal Article | LibreCat-ID: 8424 | OA
Bäumer, F. S., Kersting, J., & Geierhos, M. (2019). Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers, 8(1). https://doi.org/10.3390/computers8010022
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2019 | Conference Abstract | LibreCat-ID: 8529 | OA
Seemann, N., & Merten, M.-L. (2019). UPB-Annotate: Ein maßgeschneidertes Toolkit für historische Texte. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts (pp. 352–353). Frankfurt am Main, Germany: Zenodo. https://doi.org/10.5281/ZENODO.2596094
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2019 | Conference Abstract | LibreCat-ID: 8532 | OA
Bäumer, F. S., Buff, B., & Geierhos, M. (2019). Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts (pp. 192–193). Frankfurt am Main, Germany: Zenodo. https://doi.org/10.5281/zenodo.2596095
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2019 | Conference Paper | LibreCat-ID: 9613
Kersting, J., Bäumer, F. S., & Geierhos, M. (2019). In Reviews We Trust: But Should We? Experiences with Physician Review Websites. In M. Ramachandran, R. Walters, G. Wills, V. Méndez Muñoz, & V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security (pp. 147–155). Setúbal, Portugal: SCITEPRESS.
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2019 | Conference Paper | LibreCat-ID: 12946
Bäumer, F. S., & Buff, B. (2019). How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer’s Openness. In Proceedings of the 8th International Conference on Data Science, Technology and Applications. https://doi.org/10.5220/0007828301290136
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2019 | Bachelorsthesis | LibreCat-ID: 13435
Friesen, E. (2019). Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn.
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