2020

• Säfken, B., Silbersdorff, A., & Weisser, C. (Eds.) (2020). Learning Deep: Perspectives on Deep Learning Algorithms and Artificial Intelligence. Göttingen: Göttingen University Press. https://doi.org/10.17875/gup2020-1338
• Bäumer, F. S., Kersting, J., Buff, B., & Geierhos, M. (2020). Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging. In Information and Software Technologies: 26th International Conference, ICIST 2020, Kaunas, Lithuania, 15th–17th October, 2020, Proceedings (pp. 368–382). Kaunas, Lithuania: Springer. https://doi.org/10.1007/978-3-030-59506-7_30
• Gelwer, E., Weber, J., & Bäumer, F. S. (2020). A Concept of enabling Data Consistency Checks between Production and Production Planning using AI. In Proceedings of the 17th International Conference on Applied Computing. Lisbon, Portugal: IADIS.
• Gelwer, E., Weber, J., & Bäumer, F. S. (2020). Data Consistency from Production to Production Planning using AI. An Insight. In Proceedings of the 17th International Conference on Applied Computing. Lisbon, Portugal: IADIS.
• Kant, G., Weisser, C., & Säfken, B. (2020). TTLocVis: A Twitter Topic Location Visualization Package. Journal of Open Source Software, 5(54), 2507. https://doi.org/10.21105/joss.02507
• Kersting, J., & Bäumer, F. S. (2020). Semantic Tagging of Requirement Descriptions: A Transformer-based Approach. In Proceedings of the 17th International Conference on Applied Computing. Lisbon, Portugal: IADIS.