PUBLIKATIONSSERVER

Frederik Bäumer

Fachbereich Wirtschaft
https://orcid.org/0000-0002-0826-0144

63 Publikationen

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[63]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6084 | OA
Bourdick, R., & Bäumer, F. (2025). Beyond Q&A: Entwicklung eines agentenbasierten Retrieval-Augmented-Generation-Systems bei der imos AG. Presented at the Informatik Festival 2025, Potsdam.
HSBI-PUB | Dateien verfügbar
 
[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6182 | OA
Bäumer, F., Brandt-Pook, H., Huppert, C., Šir, Y., Stahlkopf, A., Sang, F., & Ullrich, N. (2025). Für eine inklusive digitale Zukunft: Ableismus-sensible Chatbots gestalten. Presented at the KI2025@HSBI, Bielefeld. https://doi.org/10.60802/sidas.2025.2
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[61]
2025 | Konferenzbeitrag | FH-PUB-ID: 5406
Schultenkämper, S., & Bäumer, F. (2025). 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. https://doi.org/10.1109/ICSC64641.2025.00046
HSBI-PUB | DOI
 
[60]
2025 | Konferenzbeitrag | FH-PUB-ID: 5407
Schultenkämper, S., Vovchenko, V., & Bäumer, F. (2025). 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. https://doi.org/10.1109/ICSC64641.2025.00045
HSBI-PUB | DOI
 
[59]
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
 
[58]
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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[57]
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
 
[56]
2024 | Artikel | FH-PUB-ID: 4454 | OA
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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[55]
2023 | Konferenzbeitrag | FH-PUB-ID: 3629 | OA
Sirvend, B., Stahlkopf, A., & Bäumer, F. (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/10.57720/3629
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[54]
2023 | Konferenzbeitrag | FH-PUB-ID: 3297 | OA
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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[53]
2023 | Konferenzbeitrag | FH-PUB-ID: 3296 | OA
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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[52]
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
HSBI-PUB | DOI
 
[51]
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
 
[50]
2023 | Konferenzbeitrag | FH-PUB-ID: 3614 | OA
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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[49]
2023 | Konferenzbeitrag | FH-PUB-ID: 3631 | OA
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
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[48]
2023 | Buchbeitrag | FH-PUB-ID: 3247 | OA
Bäumer, F., Chen, W.-F., Geierhos, M., Kersting, J., & Wachsmuth, H. (2023). Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation. In On-The-Fly Computing - Individualized IT-services in dynamic markets. https://doi.org/10.5281/zenodo.8068456
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[47]
2022 | Konferenzbeitrag | FH-PUB-ID: 2715 | OA
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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[46]
2022 | Konferenzbeitrag | FH-PUB-ID: 2688 | OA
Caron, M., Bäumer, F., & 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: Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2022.098
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[45]
2022 | Konferenzbeitrag | FH-PUB-ID: 2716 | OA
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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[44]
2022 | Konferenzbeitrag | FH-PUB-ID: 2714 | OA
Spoor, J., Weber, J., Hagemann, S., & Bäumer, F. (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.
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[43]
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
 
[42]
2022 | Konferenzbeitrag | FH-PUB-ID: 2726 | OA
Kersting, J., & Bäumer, F. (2022). Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. 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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[41]
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
 
[40]
2021 | Artikel | FH-PUB-ID: 1788
Hötte, D. A., Bäumer, F., Biallaß, I. D., & Sommerfeld, M. (2021). Die Unterstützung der Arbeit auf der Rechtsantragstelle durch Chatbots. Computer und Recht, 37(11), 770–776. https://doi.org/10.9785/cr-2021-371118
HSBI-PUB | DOI
 
[39]
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
 
[38]
2021 | Konferenzbeitrag | FH-PUB-ID: 1790 | OA
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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[37]
2021 | Konferenzbeitrag | FH-PUB-ID: 2717 | OA
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
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[36]
2020 | Konferenzbeitrag | FH-PUB-ID: 1792
Gelwer, E., Weber, J., & Bäumer, F. (2020). A Concept of enabling Data Consistency Checks between Production and Production Planning using AI. In H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing. Lisbon, Portugal: IADIS. https://doi.org/10.33965/ac2020_202013c019
HSBI-PUB | DOI
 
[35]
2020 | Konferenzbeitrag | FH-PUB-ID: 1793
Gelwer, E., Weber, J., & Bäumer, F. (2020). Data Consistency from Production to Production Planning using AI. In H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing. Lisbon, Portugal: IADIS. https://doi.org/10.33965/ac2020_202013p021
HSBI-PUB | DOI
 
[34]
2020 | Buchbeitrag | FH-PUB-ID: 1754
Bäumer, F., 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 (Vol. 1283).
HSBI-PUB
 
[33]
2020 | Konferenzbeitrag | FH-PUB-ID: 1755
Kersting, J., & Bäumer, F. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020.
HSBI-PUB
 
[32]
2019 | Artikel | FH-PUB-ID: 1756 | OA
Bäumer, F., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing. Scholarly Community Encyclopedia.
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[31]
2019 | Konferenzbeitrag | FH-PUB-ID: 1759 | OA
Kersting, J., Bäumer, F., & Geierhos, M. (2019). In Reviews We Trust: But Should We? Experiences with Physician Review Websites. In Association for Computing Machinery (Ed.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security (pp. 147–155). New York United States: SciTePress.
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[30]
2019 | Konferenzbeitrag | FH-PUB-ID: 1758
Bäumer, F., Buff, B., & Geierhos, M. (2019). Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts (Vol. 366). Universitäten zu Mainz und Frankfurt. https://doi.org/10.5281/zenodo.2596094
HSBI-PUB | DOI
 
[29]
2019 | Konferenzbeitrag | FH-PUB-ID: 1760
Bäumer, F., & Buff, B. (2019). How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer’s Openness. In S. Hammoudi , C. Quix , & J. Bernardino (Eds.), Proceedings of the 8th International Conference on Data Science, Technology and Applications (Vol. 1, pp. 129–136). Prague, Czech Republic : SciTePress. https://doi.org/10.5220/0007828301290136
HSBI-PUB | DOI
 
[28]
2019 | Artikel | FH-PUB-ID: 1757
Bäumer, F., Kersting, J., & Geierhos, M. (2019). Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers, 8(1). https://doi.org/10.3390/computers8010022
HSBI-PUB | DOI
 
[27]
2018 | Buchbeitrag | FH-PUB-ID: 1740
Bäumer, F., & Geierhos, M. (2018). How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. In M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, & F. Meziane (Eds.), Natural Language Processing and Information Systems (pp. 509–513). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-91947-8_53
HSBI-PUB | DOI
 
[26]
2018 | Konferenzbeitrag | FH-PUB-ID: 1742
Bäumer, F., Kersting, J., Kuršelis, V., & Geierhos, M. (2018). Rate Your Physician: Findings from a Lithuanian Physician Rating Website. In R. Damaševičius & G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings (Vol. 620, pp. 43–58). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-99972-2_4
HSBI-PUB | DOI
 
[25]
2018 | Konferenzbeitrag | FH-PUB-ID: 1765 | OA
Bäumer, F., & Geierhos, M. (2018). Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In Proceedings of the 51st Hawaii International Conference on System Sciences (pp. 5746–5755). Hawaii.
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[24]
2018 | Konferenzbeitrag | FH-PUB-ID: 1766 | OA
Bäumer, F., & Geierhos, M. (2018). How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075, pp. 509–513). Utrecht: EUR-WS.org.
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[23]
2018 | Buchbeitrag | FH-PUB-ID: 1741
Bäumer, F., & Geierhos, M. (2018). NLP in OTF Computing: Current Approaches and Open Challenges. In R. Damaševičius & G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings (pp. 559–570). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-99972-2_46
HSBI-PUB | DOI
 
[22]
2018 | Konferenzbeitrag | FH-PUB-ID: 1768 | OA
Caron, M., Bäumer, F., & Geierhos, M. (2018). Back to Basics: Extracting Software Requirements with a Syntactic Approach. In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht.
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[21]
2018 | Konferenzbeitrag | FH-PUB-ID: 1767 | OA
Friesen, E., Bäumer, F., & Geierhos, M. (2018). CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht.
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[20]
2018 | Konferenzbeitrag | FH-PUB-ID: 1764
Bäumer, F., Kersting, J., Orlikowski, M., & Geierhos, M. (2018). Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018) (Vol. 2198).
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[19]
2017 | Konferenzbeitrag | FH-PUB-ID: 1743 | OA
van Rooijen, L., Bäumer, F., Platenius, M. C., Geierhos, M., Hamann, H., & Engels, G. (2017). From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process. In The Institute of Electrical and Electronics Engineers IEEE (Ed.), 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW) (pp. 379–385). New York, NY, USA: The Institute of Electrical and Electronics Engineers IEEE. https://doi.org/10.1109/REW.2017.26
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[18]
2017 | Konferenzbeitrag | FH-PUB-ID: 1747 | OA
Bäumer, F., Dollmann, M., & Geierhos, M. (2017). Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements. In Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics (pp. 19–25). New York, NY, USA: Association for Computing Machinery ACM. https://doi.org/10.1145/3121264.3121269
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[17]
2017 | Buchbeitrag | FH-PUB-ID: 1746
Bäumer, F., Grote, N., Kersting, J., & Geierhos, M. (2017). Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In R. Damaševičius & V. Mikašytė (Eds.), Information and Software Technologies (pp. 77–89). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-67642-5_7
HSBI-PUB | DOI
 
[16]
2017 | Buchbeitrag | FH-PUB-ID: 1770
Geierhos, M., & Bäumer, F. (2017). Guesswork? Resolving Vagueness in User-Generated Software Requirements. In H. Christiansen, M. D. Jiménez-López, R. Loukanova, & L. S. Moss (Eds.), Partiality and Underspecification in Information, Languages, and Knowledge (pp. 65–108). Cambridge Scholars Publishing.
HSBI-PUB
 
[15]
2017 | Dissertation | FH-PUB-ID: 1744 | OA
Bäumer, F. (2017). Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen - Indicator-based detection and compensation of inaccurate and incompletely described software requirements. UB-PAD - Paderborn University Library. https://doi.org/10.17619/UNIPB/1-191
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[14]
2017 | Dissertation | FH-PUB-ID: 1745 | OA
Bäumer, F. S. (2017). Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen (Vol. 372, pp. I–XVI, 258, Anhang XVII-XXX). Paderborn: Heinz Nixdorf Institut; UB-PAD - Paderborn University Library. https://doi.org/10.17619/UNIPB/1-157
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[13]
2016 | Konferenzbeitrag | FH-PUB-ID: 1774
Geierhos, M., & Bäumer, F. (2016). How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement. In Natural language processing and information systems (Vol. 9612). Cham: Springer.
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[12]
2016 | Buchbeitrag | FH-PUB-ID: 1749
Bäumer, F., & Geierhos, M. (2016). Running Out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions. In G. Dregvaite & R. Damasevicius (Eds.), Information and Software Technologies. 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings (Vol. 639, pp. 549–558). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-46254-7_44
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[11]
2016 | Buchbeitrag | FH-PUB-ID: 1748
Geierhos, M., & Bäumer, F. (2016). How to Complete Customer Requirements. In E. Métais, F. Meziane, M. Saraee, V. Sugumaran, & S. Vadera (Eds.), Natural Language Processing and Information Systems (pp. 37–47). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-41754-7_4
HSBI-PUB | DOI
 
[10]
2015 | Diskussionspapier | FH-PUB-ID: 1751 | OA
Geierhos, M., Schulze, S., & Bäumer, F. (2015). Der zufriedene Patient 2.0 - Analyse anonymer Arztbewertungen im Web 2.0. vz-nrw (Verbraucherzentrale Nordrhein-Westfalen e. V.). https://doi.org/10.15501/KVFWP_3
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[9]
2015 | Konferenzbeitrag | FH-PUB-ID: 1782
Geierhos, M., Bäumer, F., Schulze, S., & Klotz, C. (2015). Understanding the Patient 2.0. In H. Christiansen, I. Stojanovic, & G. A. Papadopoulos (Eds.), Modeling and Using Context (Vol. 9405, pp. 159–171). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-25591-0_12
HSBI-PUB | DOI
 
[8]
2015 | Buchbeitrag | FH-PUB-ID: 1781
Bäumer, F., Geierhos, M., & Schulze, S. (2015). A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. In G. Dregvaite & R. Damasevicius (Eds.), Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015, Proceedings (pp. 3–15). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-24770-0_1
HSBI-PUB | DOI
 
[7]
2015 | Konferenzbeitrag | FH-PUB-ID: 1777 | OA
Geierhos, M., & Bäumer, F. (2015). Erfahrungsberichte aus zweiter Hand: Erkenntnisse über die Autorschaft von Arztbewertungen in Online-Portalen. In DHd 2015: Book of Abstracts. Hamburg: DHd.
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[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 1783
Geierhos, M., Schulze, S., & Bäumer, F. (2015). What Did You Mean? - Facing the Challenges of User-generated Software Requirements. In Proceedings of the International Conference on Agents and Artificial Intelligence (pp. 277–283). Lisbon, Portugal: SCITEPRESS - Science and and Technology Publications. https://doi.org/10.5220/0005346002770283
HSBI-PUB | DOI
 
[5]
2015 | Artikel | FH-PUB-ID: 1780 | OA
Bäumer, F., Dollmann, M., & Geierhos, M. (2015). Find a Physician by Matching Medical Needs Described in your Own Words. Procedia Computer Science, 63, 417–424. https://doi.org/10.1016/j.procs.2015.08.362
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[4]
2015 | Buchbeitrag | FH-PUB-ID: 1750
Geierhos, M., Bäumer, F., Schulze, S., & Stuß, V. (2015). Filtering Reviews by Random Individual Error. In M. Ali, Y. S. Kwon, C.-H. Lee, J. Kim, & Y. Kim (Eds.), Current Approaches in Applied Artificial Intelligence (pp. 305–315). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-19066-2_30
HSBI-PUB | DOI
 
[3]
2015 | Konferenzbeitrag | FH-PUB-ID: 1778
Geierhos, M., Bäumer, F., Schulze, S., & Stuß, V. (2015). “I grade what I get but write what I think.” Inconsistency Analysis in Patients’ Reviews. In J. Becker, J. vom Brocke, & M. de Marco (Eds.), ECIS 2015 Completed Research Papers. Münster, Germany: University of Münster, Münster, Germany. https://doi.org/10.18151/7217324 
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[2]
2014 | Konferenzbeitrag | FH-PUB-ID: 1786
Jeong, D.-H., Gim, J., Jung, H., Geierhos, M., & Bäumer, F. (2014). Comparative study on disambiguating acronyms in the scientific papers using the open knowledge base. In Conference Proceedings of the 9th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2014). Nepal.
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[1]
2014 | Konferenzbeitrag | FH-PUB-ID: 1787 | OA
Bäumer, F., Gim, J., Jeong, D.-H., Geierhos, M., & Jung, H. (2014). Linked Open Data System for Scientific Data Sets. In Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014 (Vol. 1292).
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[63]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6084 | OA
Bourdick, R., & Bäumer, F. (2025). Beyond Q&A: Entwicklung eines agentenbasierten Retrieval-Augmented-Generation-Systems bei der imos AG. Presented at the Informatik Festival 2025, Potsdam.
HSBI-PUB | Dateien verfügbar
 
[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6182 | OA
Bäumer, F., Brandt-Pook, H., Huppert, C., Šir, Y., Stahlkopf, A., Sang, F., & Ullrich, N. (2025). Für eine inklusive digitale Zukunft: Ableismus-sensible Chatbots gestalten. Presented at the KI2025@HSBI, Bielefeld. https://doi.org/10.60802/sidas.2025.2
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[61]
2025 | Konferenzbeitrag | FH-PUB-ID: 5406
Schultenkämper, S., & Bäumer, F. (2025). 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. https://doi.org/10.1109/ICSC64641.2025.00046
HSBI-PUB | DOI
 
[60]
2025 | Konferenzbeitrag | FH-PUB-ID: 5407
Schultenkämper, S., Vovchenko, V., & Bäumer, F. (2025). 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. https://doi.org/10.1109/ICSC64641.2025.00045
HSBI-PUB | DOI
 
[59]
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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[58]
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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[57]
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
 
[56]
2024 | Artikel | FH-PUB-ID: 4454 | OA
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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[55]
2023 | Konferenzbeitrag | FH-PUB-ID: 3629 | OA
Sirvend, B., Stahlkopf, A., & Bäumer, F. (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/10.57720/3629
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[54]
2023 | Konferenzbeitrag | FH-PUB-ID: 3297 | OA
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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[53]
2023 | Konferenzbeitrag | FH-PUB-ID: 3296 | OA
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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[52]
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
HSBI-PUB | DOI
 
[51]
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
 
[50]
2023 | Konferenzbeitrag | FH-PUB-ID: 3614 | OA
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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[49]
2023 | Konferenzbeitrag | FH-PUB-ID: 3631 | OA
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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[48]
2023 | Buchbeitrag | FH-PUB-ID: 3247 | OA
Bäumer, F., Chen, W.-F., Geierhos, M., Kersting, J., & Wachsmuth, H. (2023). Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation. In On-The-Fly Computing - Individualized IT-services in dynamic markets. https://doi.org/10.5281/zenodo.8068456
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[47]
2022 | Konferenzbeitrag | FH-PUB-ID: 2715 | OA
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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[46]
2022 | Konferenzbeitrag | FH-PUB-ID: 2688 | OA
Caron, M., Bäumer, F., & 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: Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2022.098
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[45]
2022 | Konferenzbeitrag | FH-PUB-ID: 2716 | OA
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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[44]
2022 | Konferenzbeitrag | FH-PUB-ID: 2714 | OA
Spoor, J., Weber, J., Hagemann, S., & Bäumer, F. (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.
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[43]
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
 
[42]
2022 | Konferenzbeitrag | FH-PUB-ID: 2726 | OA
Kersting, J., & Bäumer, F. (2022). Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. 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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[41]
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
 
[40]
2021 | Artikel | FH-PUB-ID: 1788
Hötte, D. A., Bäumer, F., Biallaß, I. D., & Sommerfeld, M. (2021). Die Unterstützung der Arbeit auf der Rechtsantragstelle durch Chatbots. Computer und Recht, 37(11), 770–776. https://doi.org/10.9785/cr-2021-371118
HSBI-PUB | DOI
 
[39]
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
 
[38]
2021 | Konferenzbeitrag | FH-PUB-ID: 1790 | OA
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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[37]
2021 | Konferenzbeitrag | FH-PUB-ID: 2717 | OA
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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[36]
2020 | Konferenzbeitrag | FH-PUB-ID: 1792
Gelwer, E., Weber, J., & Bäumer, F. (2020). A Concept of enabling Data Consistency Checks between Production and Production Planning using AI. In H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing. Lisbon, Portugal: IADIS. https://doi.org/10.33965/ac2020_202013c019
HSBI-PUB | DOI
 
[35]
2020 | Konferenzbeitrag | FH-PUB-ID: 1793
Gelwer, E., Weber, J., & Bäumer, F. (2020). Data Consistency from Production to Production Planning using AI. In H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing. Lisbon, Portugal: IADIS. https://doi.org/10.33965/ac2020_202013p021
HSBI-PUB | DOI
 
[34]
2020 | Buchbeitrag | FH-PUB-ID: 1754
Bäumer, F., 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 (Vol. 1283).
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[33]
2020 | Konferenzbeitrag | FH-PUB-ID: 1755
Kersting, J., & Bäumer, F. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020.
HSBI-PUB
 
[32]
2019 | Artikel | FH-PUB-ID: 1756 | OA
Bäumer, F., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing. Scholarly Community Encyclopedia.
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[31]
2019 | Konferenzbeitrag | FH-PUB-ID: 1759 | OA
Kersting, J., Bäumer, F., & Geierhos, M. (2019). In Reviews We Trust: But Should We? Experiences with Physician Review Websites. In Association for Computing Machinery (Ed.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security (pp. 147–155). New York United States: SciTePress.
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[30]
2019 | Konferenzbeitrag | FH-PUB-ID: 1758
Bäumer, F., Buff, B., & Geierhos, M. (2019). Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts (Vol. 366). Universitäten zu Mainz und Frankfurt. https://doi.org/10.5281/zenodo.2596094
HSBI-PUB | DOI
 
[29]
2019 | Konferenzbeitrag | FH-PUB-ID: 1760
Bäumer, F., & Buff, B. (2019). How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer’s Openness. In S. Hammoudi , C. Quix , & J. Bernardino (Eds.), Proceedings of the 8th International Conference on Data Science, Technology and Applications (Vol. 1, pp. 129–136). Prague, Czech Republic : SciTePress. https://doi.org/10.5220/0007828301290136
HSBI-PUB | DOI
 
[28]
2019 | Artikel | FH-PUB-ID: 1757
Bäumer, F., Kersting, J., & Geierhos, M. (2019). Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers, 8(1). https://doi.org/10.3390/computers8010022
HSBI-PUB | DOI
 
[27]
2018 | Buchbeitrag | FH-PUB-ID: 1740
Bäumer, F., & Geierhos, M. (2018). How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. In M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, & F. Meziane (Eds.), Natural Language Processing and Information Systems (pp. 509–513). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-91947-8_53
HSBI-PUB | DOI
 
[26]
2018 | Konferenzbeitrag | FH-PUB-ID: 1742
Bäumer, F., Kersting, J., Kuršelis, V., & Geierhos, M. (2018). Rate Your Physician: Findings from a Lithuanian Physician Rating Website. In R. Damaševičius & G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings (Vol. 620, pp. 43–58). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-99972-2_4
HSBI-PUB | DOI
 
[25]
2018 | Konferenzbeitrag | FH-PUB-ID: 1765 | OA
Bäumer, F., & Geierhos, M. (2018). Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In Proceedings of the 51st Hawaii International Conference on System Sciences (pp. 5746–5755). Hawaii.
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[24]
2018 | Konferenzbeitrag | FH-PUB-ID: 1766 | OA
Bäumer, F., & Geierhos, M. (2018). How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075, pp. 509–513). Utrecht: EUR-WS.org.
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[23]
2018 | Buchbeitrag | FH-PUB-ID: 1741
Bäumer, F., & Geierhos, M. (2018). NLP in OTF Computing: Current Approaches and Open Challenges. In R. Damaševičius & G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings (pp. 559–570). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-99972-2_46
HSBI-PUB | DOI
 
[22]
2018 | Konferenzbeitrag | FH-PUB-ID: 1768 | OA
Caron, M., Bäumer, F., & Geierhos, M. (2018). Back to Basics: Extracting Software Requirements with a Syntactic Approach. In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht.
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[21]
2018 | Konferenzbeitrag | FH-PUB-ID: 1767 | OA
Friesen, E., Bäumer, F., & Geierhos, M. (2018). CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht.
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[20]
2018 | Konferenzbeitrag | FH-PUB-ID: 1764
Bäumer, F., Kersting, J., Orlikowski, M., & Geierhos, M. (2018). Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018) (Vol. 2198).
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[19]
2017 | Konferenzbeitrag | FH-PUB-ID: 1743 | OA
van Rooijen, L., Bäumer, F., Platenius, M. C., Geierhos, M., Hamann, H., & Engels, G. (2017). From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process. In The Institute of Electrical and Electronics Engineers IEEE (Ed.), 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW) (pp. 379–385). New York, NY, USA: The Institute of Electrical and Electronics Engineers IEEE. https://doi.org/10.1109/REW.2017.26
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[18]
2017 | Konferenzbeitrag | FH-PUB-ID: 1747 | OA
Bäumer, F., Dollmann, M., & Geierhos, M. (2017). Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements. In Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics (pp. 19–25). New York, NY, USA: Association for Computing Machinery ACM. https://doi.org/10.1145/3121264.3121269
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[17]
2017 | Buchbeitrag | FH-PUB-ID: 1746
Bäumer, F., Grote, N., Kersting, J., & Geierhos, M. (2017). Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In R. Damaševičius & V. Mikašytė (Eds.), Information and Software Technologies (pp. 77–89). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-67642-5_7
HSBI-PUB | DOI
 
[16]
2017 | Buchbeitrag | FH-PUB-ID: 1770
Geierhos, M., & Bäumer, F. (2017). Guesswork? Resolving Vagueness in User-Generated Software Requirements. In H. Christiansen, M. D. Jiménez-López, R. Loukanova, & L. S. Moss (Eds.), Partiality and Underspecification in Information, Languages, and Knowledge (pp. 65–108). Cambridge Scholars Publishing.
HSBI-PUB
 
[15]
2017 | Dissertation | FH-PUB-ID: 1744 | OA
Bäumer, F. (2017). Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen - Indicator-based detection and compensation of inaccurate and incompletely described software requirements. UB-PAD - Paderborn University Library. https://doi.org/10.17619/UNIPB/1-191
HSBI-PUB | DOI | Download (ext.)
 
[14]
2017 | Dissertation | FH-PUB-ID: 1745 | OA
Bäumer, F. S. (2017). Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen (Vol. 372, pp. I–XVI, 258, Anhang XVII-XXX). Paderborn: Heinz Nixdorf Institut; UB-PAD - Paderborn University Library. https://doi.org/10.17619/UNIPB/1-157
HSBI-PUB | DOI | Download (ext.)
 
[13]
2016 | Konferenzbeitrag | FH-PUB-ID: 1774
Geierhos, M., & Bäumer, F. (2016). How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement. In Natural language processing and information systems (Vol. 9612). Cham: Springer.
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[12]
2016 | Buchbeitrag | FH-PUB-ID: 1749
Bäumer, F., & Geierhos, M. (2016). Running Out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions. In G. Dregvaite & R. Damasevicius (Eds.), Information and Software Technologies. 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings (Vol. 639, pp. 549–558). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-46254-7_44
HSBI-PUB | DOI | Download (ext.)
 
[11]
2016 | Buchbeitrag | FH-PUB-ID: 1748
Geierhos, M., & Bäumer, F. (2016). How to Complete Customer Requirements. In E. Métais, F. Meziane, M. Saraee, V. Sugumaran, & S. Vadera (Eds.), Natural Language Processing and Information Systems (pp. 37–47). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-41754-7_4
HSBI-PUB | DOI
 
[10]
2015 | Diskussionspapier | FH-PUB-ID: 1751 | OA
Geierhos, M., Schulze, S., & Bäumer, F. (2015). Der zufriedene Patient 2.0 - Analyse anonymer Arztbewertungen im Web 2.0. vz-nrw (Verbraucherzentrale Nordrhein-Westfalen e. V.). https://doi.org/10.15501/KVFWP_3
HSBI-PUB | DOI | Download (ext.)
 
[9]
2015 | Konferenzbeitrag | FH-PUB-ID: 1782
Geierhos, M., Bäumer, F., Schulze, S., & Klotz, C. (2015). Understanding the Patient 2.0. In H. Christiansen, I. Stojanovic, & G. A. Papadopoulos (Eds.), Modeling and Using Context (Vol. 9405, pp. 159–171). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-25591-0_12
HSBI-PUB | DOI
 
[8]
2015 | Buchbeitrag | FH-PUB-ID: 1781
Bäumer, F., Geierhos, M., & Schulze, S. (2015). A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. In G. Dregvaite & R. Damasevicius (Eds.), Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015, Proceedings (pp. 3–15). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-24770-0_1
HSBI-PUB | DOI
 
[7]
2015 | Konferenzbeitrag | FH-PUB-ID: 1777 | OA
Geierhos, M., & Bäumer, F. (2015). Erfahrungsberichte aus zweiter Hand: Erkenntnisse über die Autorschaft von Arztbewertungen in Online-Portalen. In DHd 2015: Book of Abstracts. Hamburg: DHd.
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[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 1783
Geierhos, M., Schulze, S., & Bäumer, F. (2015). What Did You Mean? - Facing the Challenges of User-generated Software Requirements. In Proceedings of the International Conference on Agents and Artificial Intelligence (pp. 277–283). Lisbon, Portugal: SCITEPRESS - Science and and Technology Publications. https://doi.org/10.5220/0005346002770283
HSBI-PUB | DOI
 
[5]
2015 | Artikel | FH-PUB-ID: 1780 | OA
Bäumer, F., Dollmann, M., & Geierhos, M. (2015). Find a Physician by Matching Medical Needs Described in your Own Words. Procedia Computer Science, 63, 417–424. https://doi.org/10.1016/j.procs.2015.08.362
HSBI-PUB | DOI | Download (ext.)
 
[4]
2015 | Buchbeitrag | FH-PUB-ID: 1750
Geierhos, M., Bäumer, F., Schulze, S., & Stuß, V. (2015). Filtering Reviews by Random Individual Error. In M. Ali, Y. S. Kwon, C.-H. Lee, J. Kim, & Y. Kim (Eds.), Current Approaches in Applied Artificial Intelligence (pp. 305–315). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-19066-2_30
HSBI-PUB | DOI
 
[3]
2015 | Konferenzbeitrag | FH-PUB-ID: 1778
Geierhos, M., Bäumer, F., Schulze, S., & Stuß, V. (2015). “I grade what I get but write what I think.” Inconsistency Analysis in Patients’ Reviews. In J. Becker, J. vom Brocke, & M. de Marco (Eds.), ECIS 2015 Completed Research Papers. Münster, Germany: University of Münster, Münster, Germany. https://doi.org/10.18151/7217324 
HSBI-PUB | DOI | Download (ext.)
 
[2]
2014 | Konferenzbeitrag | FH-PUB-ID: 1786
Jeong, D.-H., Gim, J., Jung, H., Geierhos, M., & Bäumer, F. (2014). Comparative study on disambiguating acronyms in the scientific papers using the open knowledge base. In Conference Proceedings of the 9th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2014). Nepal.
HSBI-PUB
 
[1]
2014 | Konferenzbeitrag | FH-PUB-ID: 1787 | OA
Bäumer, F., Gim, J., Jeong, D.-H., Geierhos, M., & Jung, H. (2014). Linked Open Data System for Scientific Data Sets. In Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014 (Vol. 1292).
HSBI-PUB | Download (ext.)
 
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