2023

• Bäumer, F. S., Brandt-Pook, H., Maoro, F., Schultenkämper, S., & Stecker, B. (2023). Von der Theorie zur Praxis: Erfahrungen bei der akademischen Begleitung von KI-Projekten in KMUs. In M. Klein, D. Krupka, C. Winter, V. Wohlgemuth, & Gesellschaft für Informatik e.V. (GI) (Eds.), INFORMATIK 2023 (Vol. 337). Berlin: Köllen Druck+Verlag GmbH. https://doi.org/10.18420/inf2023_184
• Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., & Wachsmuth, H. (2023). Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation. Zenodo. https://doi.org/10.5281/zenodo.8068456
• Schultenkämper, S., & Bäumer, F. S. (2023). Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web. In Proceedings of the Eighteenth International Conference on Internet and Web Applications and Services (ICIW 2023). IARIA.
• Schultenkämper, S., & Bäumer, F. S. (2023). Privacy Risks in German Patient Forums: A NER-based Approach to Enrich Digital Twins. In Information and Software Technologies. 29th International Conference, ICIST 2023, Kaunas, Lithuania, October 12–14, 2023, Proceedings (pp. 113–123). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-48981-5_9
• Schultenkämper, S., & Bäumer, F. S. (2023). Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection. In The Fifteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2023). Special Track DaMIA: Data Mining in Industrial Applications of Digital Twins. IARIA.
• Schultenkämper, S., Bäumer, F. S., Geierhos, M., & Lee, Y. S. (2023). From Unstructured Data to Digital Twins: From Tweets to Structured Knowledge. In Proceedings of the Thirteenth International Conference on Social Media Technologies, Communication, and Informatics (SOTICS 2023). Valencia, Spain.
• Schultenkämper, S., Bäumer, F. S., Lee, Y. S., & Geierhos, M. (2023). From Digital Tracks to Digital Twins: On the Path to Cross-Platform Profile Linking. In 27th International Conference on Enterprise Design, Operations Computing (EDOC 2023): First Workshop on the Modelling and Implementation of Digital Twins for Complex Systems (pp. 158–171). Groningen, The Netherlands. https://doi.org/10.1007/978-3-031-54712-6_10
• Sirvend, B., Stahlkopf, A., & Bäumer, F. S. (2023). Synergien zwischen KI und menschlicher Expertise: Online-Sichtbarkeitsoptimierung durch Text-Transformation. In M. Klein, D. Krupka, C. Winter, & V. Wohlgemuth (Eds.), INFORMATIK 2023 (Vol. 337). Berlin: Köllen Druck+Verlag GmbH. https://doi.org/10.18420/inf2023_185
• Stecker, B., & Brandt-Pook, H. (2023). Application of Object Detection Models for the Detection of Kitchen Furniture – A Comparison. In L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, & J. M. Zurada (Eds.), Artificial Intelligence and Soft Computing. ICAISC 2023. Lecture Notes in Computer Science (Vol. 14126). Cham: Springer. https://doi.org/10.1007/978-3-031-42508-0_9
• Svanidze, D., Python, A., Weisser, C., Säfken, B., Kneib, T., & Fu, J. (2023). The Road to Reproducible Research: Hazards to Avoid and Tools to Get You There Safely. Real World Data Science. https://realworlddatascience.net/applied-insights/case-studies/posts/2023/06/15/road-to-reproducible-research.html
• Thielmann, A., Weisser, C., Kneib, T., & Säfken, B. (2023). Coherence Based Document Clustering. In 2023 IEEE 17th International Conference on Semantic Computing (ICSC) (pp. 9–16). IEEE. https://doi.org/10.1109/ICSC56153.2023.00009
• Weisser, C., Gerloff, C., Thielmann, A., Python, A., Reuter, A., Kneib, T., & Säfken, B. (2023). Pseudo-Document Simulation for Comparing LDA, GSDMM and GPM Topic Models on Short and Sparse Text Using Twitter Data. Computational Statistics, 38(2), 647–674. https://doi.org/10.1007/s00180-022-01246-z