20 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 5406
Schultenkämper, S., & Bäumer, F. (n.d.). Multimodal Analysis of Modern Phishing Attacks: Towards an Evolving Dataset of Real-World Data. In The 13th IEEE International Workshop on Semantic Computing for Social Networking: from user information to social knowledge and ethical AI. Laguna Hills, CA.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 5407
Schultenkämper, S., Vovchenko, V., & Bäumer, F. (n.d.). Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking. In The 13th IEEE International Workshop on Semantic Computing for Social Networking: from user information to social knowledge and ethical AI. Laguna Hills, CA.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 4453
Schultenkämper, S., & Bäumer, F. S. (2024). Structured Knowledge Extraction for Digital Twins: Leveraging LLMs to Analyze Tweets. In Springer (Ed.), Communications in Computer and Information Science. Cham.
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5049
Bäumer, F. S., Brandt-Pook, H., Matutat, A., Maoro, F., Pelkmann, D., & Schultenkämper, S. (2024). Lektionen und Anwendungsfälle aus der Implementierung von Retrieval-Augmented-Generation-Systemen. In M. Klein, D. Krupka, C. Winter, M. Gergeleit, L. Martin, & Gesellschaft für Informatik e.V. (GI) (Eds.), INFORMATIK 2024 Lock-in or log out? Wie digitale Souveränität gelingt (Vol. 352). Bonn: Köllen Druck+Verlag GmbH.
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2024 | Artikel | FH-PUB-ID: 5148
Bäumer, F. S., Schultenkämper, S., Geierhos, M., & Lee, Y. S. (2024). Mirroring Privacy Risks with Digital Twins: When Pieces of Personal Data Suddenly Fit Together. SN Computer Science, 5(8). https://doi.org/10.1007/s42979-024-03413-z
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2024 | Konferenzbeitrag | FH-PUB-ID: 5149
Damm, H., Pakull, T. M. G., Eryılmaz, B., Becker, H., Idrissi-Yaghir, A., Schäfer, H., … Friedrich, C. M. (2024). WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV. In D. Demner-Fushman, S. Ananiadou, M. Miwa, K. Roberts, & J. Tsujii (Eds.), Proceedings of the 23rd Workshop on Biomedical Natural Language Processing (pp. 105–121). Stroudsburg, PA, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.bionlp-1.9
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2024 | Artikel | FH-PUB-ID: 4454 | 
Schultenkämper, S., & Bäumer, F. S. (2024). Pixels versus Privacy: Leveraging Vision-Language Models for Sensitive Information Extraction. International Journal On Advances in Security, 17(1+2), 1–10.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3297 |
Schultenkämper, S., & Bäumer, F. (2023). Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection. In IARIA (Ed.), The Fifteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2023). Special Track DaMIA: Data Mining in Industrial Applications of Digital Twins. (pp. 2–5). IARIA.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3296 |
Schultenkämper, S., & Bäumer, F. (2023). Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web. In IARIA (Ed.), ICIW 2023 : The Eighteenth International Conference on Internet and Web Applications and Services (pp. 2–6). Nizza.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3612
Schultenkämper, S., Bäumer, F., Bellgrau, B., 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). Groningen, Niederlande. https://doi.org/10.1007/978-3-031-54712-6_10
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2023 | Konferenzbeitrag | FH-PUB-ID: 3606
Schultenkämper, S., & Bäumer, F. (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. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-48981-5_9
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2023 | Konferenzbeitrag | FH-PUB-ID: 3614 |
Schultenkämper, S., Bäumer, F., 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, Spanien.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3631 |
Bäumer, F., 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/10.57720/3631
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2022 | Konferenzbeitrag | FH-PUB-ID: 2715 |
Bäumer, F., 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.
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2022 | Konferenzbeitrag | FH-PUB-ID: 2716 |
Denisov, S., Bäumer, F., & 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.
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2022 | Buchbeitrag | FH-PUB-ID: 2687
Schultenkämper, S., & Bäumer, F. (2022). The Only Link You’ll Ever Need: How Social Media Reference Landing Pages Speed Up Profile Matching. In A. Lopata, D. Gudonienė, & R. Butkienė (Eds.), Information and Software Technologies. 28th International Conference, ICIST 2022, Kaunas, Lithuania, October 13–15, 2022, Proceedings (pp. 136–147). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-16302-9_10
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2021 | Konferenzbeitrag | FH-PUB-ID: 1753
Bäumer, F., Kersting, J., Denisov, S., & Geierhos, M. (2021). IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. In Proceedings of the International Conferences on WWW/Internet 2021 and Applied Computing 2021 (pp. 221–225). Lisbon, Portugal : IADIS .
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2021 | Konferenzbeitrag | FH-PUB-ID: 1791
Denisov, S., & Bäumer, F. (2021). How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets. In A. Lopata, D. Gudonienė, & R. Butkienė (Eds.), Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings (pp. 353–366). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-88304-1_28
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| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 1790 |
Denisov, S., & Bäumer, F. (2021). EVALUATION OF NAMED ENTITY RECOGNITION FOR THE GERMAN E-COMMERCE DOMAIN. In WWW/INTERNET 2021 AND APPLIED COMPUTING. Online.
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2021 | Konferenzbeitrag | FH-PUB-ID: 2717 |
Bäumer, F., Denisov, S., Geierhos, M., & Su Lee, Y. (2021). Towards Authority-Dependent Risk Identification and Analysis in Online Networks. In Proceedings of Artificial Intelligence, Machine Learning and Big Data for Hybrid Military Operations (AI4HMO). https://doi.org/10.14339/STO-MP-IST-190
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20 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 5406
Schultenkämper, S., & Bäumer, F. (n.d.). Multimodal Analysis of Modern Phishing Attacks: Towards an Evolving Dataset of Real-World Data. In The 13th IEEE International Workshop on Semantic Computing for Social Networking: from user information to social knowledge and ethical AI. Laguna Hills, CA.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 5407
Schultenkämper, S., Vovchenko, V., & Bäumer, F. (n.d.). Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking. In The 13th IEEE International Workshop on Semantic Computing for Social Networking: from user information to social knowledge and ethical AI. Laguna Hills, CA.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 4453
Schultenkämper, S., & Bäumer, F. S. (2024). Structured Knowledge Extraction for Digital Twins: Leveraging LLMs to Analyze Tweets. In Springer (Ed.), Communications in Computer and Information Science. Cham.
HSBI-PUB
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5049
Bäumer, F. S., Brandt-Pook, H., Matutat, A., Maoro, F., Pelkmann, D., & Schultenkämper, S. (2024). Lektionen und Anwendungsfälle aus der Implementierung von Retrieval-Augmented-Generation-Systemen. In M. Klein, D. Krupka, C. Winter, M. Gergeleit, L. Martin, & Gesellschaft für Informatik e.V. (GI) (Eds.), INFORMATIK 2024 Lock-in or log out? Wie digitale Souveränität gelingt (Vol. 352). Bonn: Köllen Druck+Verlag GmbH.
HSBI-PUB
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 5148
Bäumer, F. S., Schultenkämper, S., Geierhos, M., & Lee, Y. S. (2024). Mirroring Privacy Risks with Digital Twins: When Pieces of Personal Data Suddenly Fit Together. SN Computer Science, 5(8). https://doi.org/10.1007/s42979-024-03413-z
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5149
Damm, H., Pakull, T. M. G., Eryılmaz, B., Becker, H., Idrissi-Yaghir, A., Schäfer, H., … Friedrich, C. M. (2024). WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV. In D. Demner-Fushman, S. Ananiadou, M. Miwa, K. Roberts, & J. Tsujii (Eds.), Proceedings of the 23rd Workshop on Biomedical Natural Language Processing (pp. 105–121). Stroudsburg, PA, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.bionlp-1.9
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4454 |
Schultenkämper, S., & Bäumer, F. S. (2024). Pixels versus Privacy: Leveraging Vision-Language Models for Sensitive Information Extraction. International Journal On Advances in Security, 17(1+2), 1–10.
HSBI-PUB
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 3297 |
Schultenkämper, S., & Bäumer, F. (2023). Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection. In IARIA (Ed.), The Fifteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2023). Special Track DaMIA: Data Mining in Industrial Applications of Digital Twins. (pp. 2–5). IARIA.
HSBI-PUB
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 3296 |
Schultenkämper, S., & Bäumer, F. (2023). Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web. In IARIA (Ed.), ICIW 2023 : The Eighteenth International Conference on Internet and Web Applications and Services (pp. 2–6). Nizza.
HSBI-PUB
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2023 | Konferenzbeitrag | FH-PUB-ID: 3612
Schultenkämper, S., Bäumer, F., Bellgrau, B., 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). Groningen, Niederlande. https://doi.org/10.1007/978-3-031-54712-6_10
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| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3606
Schultenkämper, S., & Bäumer, F. (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. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-48981-5_9
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3614 |
Schultenkämper, S., Bäumer, F., 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, Spanien.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3631 |
Bäumer, F., 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/10.57720/3631
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2022 | Konferenzbeitrag | FH-PUB-ID: 2715 |
Bäumer, F., 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.
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2022 | Konferenzbeitrag | FH-PUB-ID: 2716 |
Denisov, S., Bäumer, F., & 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.
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2022 | Buchbeitrag | FH-PUB-ID: 2687
Schultenkämper, S., & Bäumer, F. (2022). The Only Link You’ll Ever Need: How Social Media Reference Landing Pages Speed Up Profile Matching. In A. Lopata, D. Gudonienė, & R. Butkienė (Eds.), Information and Software Technologies. 28th International Conference, ICIST 2022, Kaunas, Lithuania, October 13–15, 2022, Proceedings (pp. 136–147). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-16302-9_10
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 1753
Bäumer, F., Kersting, J., Denisov, S., & Geierhos, M. (2021). IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. In Proceedings of the International Conferences on WWW/Internet 2021 and Applied Computing 2021 (pp. 221–225). Lisbon, Portugal : IADIS .
HSBI-PUB
2021 | Konferenzbeitrag | FH-PUB-ID: 1791
Denisov, S., & Bäumer, F. (2021). How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets. In A. Lopata, D. Gudonienė, & R. Butkienė (Eds.), Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings (pp. 353–366). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-88304-1_28
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 1790 |
Denisov, S., & Bäumer, F. (2021). EVALUATION OF NAMED ENTITY RECOGNITION FOR THE GERMAN E-COMMERCE DOMAIN. In WWW/INTERNET 2021 AND APPLIED COMPUTING. Online.
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2021 | Konferenzbeitrag | FH-PUB-ID: 2717 |
Bäumer, F., Denisov, S., Geierhos, M., & Su Lee, Y. (2021). Towards Authority-Dependent Risk Identification and Analysis in Online Networks. In Proceedings of Artificial Intelligence, Machine Learning and Big Data for Hybrid Military Operations (AI4HMO). https://doi.org/10.14339/STO-MP-IST-190
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