20 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 5406
S. Schultenkämper and F. Bäumer, “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
S. Schultenkämper, V. Vovchenko, and F. Bäumer, “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
S. Schultenkämper and F. S. Bäumer, “Structured Knowledge Extraction for Digital Twins: Leveraging LLMs to Analyze Tweets,” in Communications in Computer and Information Science, Maastricht, Niederlande, 2024.
HSBI-PUB
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5049
F. S. Bäumer, H. Brandt-Pook, A. Matutat, F. Maoro, D. Pelkmann, and S. Schultenkämper, “Lektionen und Anwendungsfälle aus der Implementierung von Retrieval-Augmented-Generation-Systemen,” in INFORMATIK 2024 Lock-in or log out? Wie digitale Souveränität gelingt, Wiesbaden, 2024, vol. 352.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5149
H. Damm et al., “WisPerMed at ‘Discharge Me!’: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV,” in Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, Bangkok, Thailand, 2024, pp. 105–121.
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| DOI
2024 | Artikel | FH-PUB-ID: 4454 | 
S. Schultenkämper and F. S. Bäumer, “Pixels versus Privacy: Leveraging Vision-Language Models for Sensitive Information Extraction,” International Journal On Advances in Security, vol. 17, no. 1+2, pp. 1–10, 2024.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3297 |
S. Schultenkämper and F. Bäumer, “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., 2023, pp. 2–5.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3296 |
S. Schultenkämper and F. Bäumer, “Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web,” in ICIW 2023 : The Eighteenth International Conference on Internet and Web Applications and Services, Nizza, 2023, pp. 2–6.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3612
S. Schultenkämper, F. Bäumer, B. Bellgrau, Y. S. Lee, and M. Geierhos, “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, 2023.
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| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3606
S. Schultenkämper and F. Bäumer, “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, Kaunas, Lithuania, 2023.
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| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3614 |
S. Schultenkämper, F. Bäumer, M. Geierhos, and Y. S. Lee, “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, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3631 |
F. Bäumer, H. Brandt-Pook, F. Maoro, S. Schultenkämper, and B. Stecker, “Von der Theorie zur Praxis: Erfahrungen bei der akademischen Begleitung von KI-Projekten in KMUs,” in INFORMATIK 2023, Berlin, 2023, vol. 337.
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2022 | Konferenzbeitrag | FH-PUB-ID: 2715 |
F. Bäumer, S. Denisov, B. Sirvend, and J. Weber, “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., 2022.
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2022 | Konferenzbeitrag | FH-PUB-ID: 2716 |
S. Denisov, F. Bäumer, and M. Geierhos, “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., 2022.
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2022 | Buchbeitrag | FH-PUB-ID: 2687
S. Schultenkämper and F. Bäumer, “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, October 13–15, 2022, Proceedings, A. Lopata, D. Gudonienė, and R. Butkienė, Eds. Cham: Springer International Publishing, 2022, pp. 136–147.
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| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 1753
F. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING,” in Proceedings of the International Conferences on WWW/Internet 2021 and Applied Computing 2021 , Lisbon, Portugal , 2021, pp. 221–225.
HSBI-PUB
2021 | Konferenzbeitrag | FH-PUB-ID: 1791
S. Denisov and F. Bäumer, “How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets,” in Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings, Kaunas, Lithuania, 2021, pp. 353–366.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 1790 |
S. Denisov and F. Bäumer, “EVALUATION OF NAMED ENTITY RECOGNITION FOR THE GERMAN E-COMMERCE DOMAIN,” in WWW/INTERNET 2021 AND APPLIED COMPUTING, Online, 2021.
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2021 | Konferenzbeitrag | FH-PUB-ID: 2717 |
F. Bäumer, S. Denisov, M. Geierhos, and Y. Su Lee, “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), 2021.
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20 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 5406
S. Schultenkämper and F. Bäumer, “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
S. Schultenkämper, V. Vovchenko, and F. Bäumer, “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
S. Schultenkämper and F. S. Bäumer, “Structured Knowledge Extraction for Digital Twins: Leveraging LLMs to Analyze Tweets,” in Communications in Computer and Information Science, Maastricht, Niederlande, 2024.
HSBI-PUB
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5049
F. S. Bäumer, H. Brandt-Pook, A. Matutat, F. Maoro, D. Pelkmann, and S. Schultenkämper, “Lektionen und Anwendungsfälle aus der Implementierung von Retrieval-Augmented-Generation-Systemen,” in INFORMATIK 2024 Lock-in or log out? Wie digitale Souveränität gelingt, Wiesbaden, 2024, vol. 352.
HSBI-PUB
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5149
H. Damm et al., “WisPerMed at ‘Discharge Me!’: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV,” in Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, Bangkok, Thailand, 2024, pp. 105–121.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4454 |
S. Schultenkämper and F. S. Bäumer, “Pixels versus Privacy: Leveraging Vision-Language Models for Sensitive Information Extraction,” International Journal On Advances in Security, vol. 17, no. 1+2, pp. 1–10, 2024.
HSBI-PUB
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 3297 |
S. Schultenkämper and F. Bäumer, “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., 2023, pp. 2–5.
HSBI-PUB
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 3296 |
S. Schultenkämper and F. Bäumer, “Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web,” in ICIW 2023 : The Eighteenth International Conference on Internet and Web Applications and Services, Nizza, 2023, pp. 2–6.
HSBI-PUB
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 3612
S. Schultenkämper, F. Bäumer, B. Bellgrau, Y. S. Lee, and M. Geierhos, “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, 2023.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3606
S. Schultenkämper and F. Bäumer, “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, Kaunas, Lithuania, 2023.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 3614 |
S. Schultenkämper, F. Bäumer, M. Geierhos, and Y. S. Lee, “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, 2023.
HSBI-PUB
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 3631 |
F. Bäumer, H. Brandt-Pook, F. Maoro, S. Schultenkämper, and B. Stecker, “Von der Theorie zur Praxis: Erfahrungen bei der akademischen Begleitung von KI-Projekten in KMUs,” in INFORMATIK 2023, Berlin, 2023, vol. 337.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 2715 |
F. Bäumer, S. Denisov, B. Sirvend, and J. Weber, “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., 2022.
HSBI-PUB
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 2716 |
S. Denisov, F. Bäumer, and M. Geierhos, “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., 2022.
HSBI-PUB
| Download (ext.)
2022 | Buchbeitrag | FH-PUB-ID: 2687
S. Schultenkämper and F. Bäumer, “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, October 13–15, 2022, Proceedings, A. Lopata, D. Gudonienė, and R. Butkienė, Eds. Cham: Springer International Publishing, 2022, pp. 136–147.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 1753
F. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING,” in Proceedings of the International Conferences on WWW/Internet 2021 and Applied Computing 2021 , Lisbon, Portugal , 2021, pp. 221–225.
HSBI-PUB
2021 | Konferenzbeitrag | FH-PUB-ID: 1791
S. Denisov and F. Bäumer, “How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets,” in Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings, Kaunas, Lithuania, 2021, pp. 353–366.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 1790 |
S. Denisov and F. Bäumer, “EVALUATION OF NAMED ENTITY RECOGNITION FOR THE GERMAN E-COMMERCE DOMAIN,” in WWW/INTERNET 2021 AND APPLIED COMPUTING, Online, 2021.
HSBI-PUB
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 2717 |
F. Bäumer, S. Denisov, M. Geierhos, and Y. Su Lee, “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), 2021.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)