2022

• Buchmüller, A., Kant, G., Weisser, C., Säfken, B., Kis-Katos, K., & Kneib, T. (2022). Twitmo: A Twitter Data Topic Modeling and Visualization Package for R. arXiv. https://arxiv.org/abs/2207.11236
• Bäumer, F. S., Denisov, S., Sirvend, B., & Weber, J. (2022). Tackling the „We have no Data“ Challenge: Domain-Specific Machine Translation in SMEs. In Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence – Data Science for Real-World Applications. PATTERNS.
• Caron, M., Bäumer, F. S., & Müller, O. (2022). Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. In Proceedings of the 55th Hawaii International Conference on System Sciences. Maui, Hawaii. https://doi.org/10.24251/HICSS.2022.098
• Denisov, S., & Bäumer, F. S. (2022). The Only Link You'll Ever Need: How Social Media Reference Landing Pages speed up Profile Matching. In Information and Software Technologies: 28th International Conference, ICIST 2022, Kaunas, Lithuania, 13th–15th October, 2022, Proceedings (pp. 136–147). Kaunas, Lithuania: Springer. https://doi.org/10.1007/978-3-031-16302-9_10
• Denisov, S., Bäumer, F. S., & Geierhos, M. (2022). Track Me If You Can: Insights into Profile Interlinking on Social Networks. In Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence – Data Science for Real-World Applications. PATTERNS.
• Kant, G., Weisser, C., Kneib, T., & Säfken, B. (2022). Topic Model – Machine Learning Classifier Integrations on Geocoded Twitter Data. In N. H. Phuong, & V. Kreinovich (Eds.), Biomedical and Other Applications of Soft Computing. Studies in Computational Intelligence (pp. 105–120). Cham: Springer. https://doi.org/10.1007/978-3-031-08580-2_11
• Kant, G., Wiebelt, L., Weisser, C., Kis-Katos, K., Luber, M., & Säfken, B. (2022). An Iterative Topic Model Filtering Framework for Short and Noisy User-Generated Data: Analyzing Conspiracy Theories on Twitter. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-022-00321-4
• Kersting, J., & Bäumer, F. S. (2022). Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In J. Kersting (Ed.), Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence – Data Science for Real-World Applications. PATTERNS.
• Seufert, J. D., Python, A., Weisser, C., Cisneros, E., Kis-Katos, K., & Kneib, T. (2022). Mapping Ex Ante Risks of COVID-19 in Indonesia Using a Bayesian Geostatistical Model on Airport Network Data. Journal of the Royal Statistical Society Series A: Statistics in Society, 185(4), 2121–2155. https://doi.org/10.1111/rssa.12866
• Spoor, J. M., Weber, J., Hagemann, S., & Bäumer, F. S. (2022). Concept of an Inference Procedure for Fault Detection in Production Planning. In Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence – Data Science for Real-World Applications. PATTERNS.
• Tillmann, A., Kqiku, L., Reinhardt, D., Weisser, C., Säfken, B., & Kneib, T. (2022). Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. In Proceedings of the 2022 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (pp. 2325–2332). IEEE. https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00365