Publikationen

Auf dieser Seite finden Sie meine Publikationen, geordnet nach Jahr und Art.

Info
Die Publikationen sind an der Universität Paderborn, dem Korea Institute of Science and Technology und der Hochschule Bielefeld in Zusammenarbeit mit den jeweiligen Kolleginnen und Kollegen enstanden.

Übersicht

Monografien

  1. Bäumer, F. S. (2017). Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen (Vol. 372). Paderborn: Universität Paderborn. https://doi.org/10.17619/UNIPB/1-191
  2. Bäumer, F. S. (2017). Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-157

Journalartikel

  1. Hötte, D. A., Bäumer, F. S., Biallaß, I. D., Sommerfeld, M. (2021). Die Unterstützung der Arbeit auf der Rechtsantragstelle durch Chatbots. In Computer und Recht 21.
  2. Bäumer, F. S., 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

Beiträge

  1. 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.
  2. Schultenkämper, S., Bäumer, F., 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.
  3. 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.
  4. 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.
  5. 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.
  6. Schultenkämper, S., & Bäumer, F. S. (2023). Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web. In Proceedings of the Eighteenth International Conference on Internet and Web Applications and Services (ICIW 2023). In Press.
  7. Schultenkämper, S., & Bäumer, F. S. (2023). Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection. The Fifteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2023). Special Track DaMIA: Data Mining in Industrial Applications of Digital Twins. In Press.
  8. Bäumer, F. S., Chen, WF., Geierhos, M., Kersting, J. & Wachsmuth, H. (2023). Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation. Zenodo. https://doi.org/10.5281/zenodo.8068456
  9. 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. Kaunas, Litauen: Springer.
  10. 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.
  11. Denisov, S., Bäumer, F. S. & Geierhos, M. (2022). Track Me If You Can: Insights into Profile Interlinking on Social Networks. 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.
  12. Bäumer, F. S., Denisov, S., Sirvend, B. & Weber, J. (2022). Tackling the ”We have no Data“ Challenge: Domain-Specific Machine Translation in SMEs. 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.
  13. Spoor, J. M., Weber, J., Hagemann, S. & Bäumer, F. S. (2022). Concept of an Inference Procedure for Fault Detection in Production Planning. 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.
  14. 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 54th Hawaii International Conference on System Sciences. Big Island, Waikoloa Village.
  15. Bäumer, F. S., Denisov, S., Lee, Y. S., Geierhos, M. (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), 5-6 October, Online.
  16. Denisov, S., & Bäumer, F. S., (2021). EVALUATION OF NAMED ENTITY RECOGNITION FOR THE GERMAN E-COMMERCE DOMAIN. In Proceedings of the 18th International Conference on Applied Computing. Lisbon, Portugal: IADIS.
  17. Bäumer, F. S., Kersting, J., Denisov, S., Geierhos, M. (2021). IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. In Proceedings of the 18th International Conference on Applied Computing. Lisbon, Portugal: IADIS.
  18. Denisov, S., & Bäumer, F. S., (2021). 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, 14th-16th October, 2021, Proceedings. Kaunas, Litauen: Springer.
  19. 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.
  20. 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.
  21. 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.
  22. 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. Kaunas, Litauen: Springer.
  23. Bäumer, F. and Buff, B. (2019). How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer’s Openness. In Proceedings of the 8th International Conference on Data Science, Technology and Applications – Volume 1: DATA, ISBN 978-989-758-377-3, pp. 129-136.
  24. Bäumer, F. S., Buff, B., & Geierhos, M. (2019). Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts (pp. 192–193). Frankfurt am Main, Germany: Zenodo.
  25. Kersting, J., Bäumer, F. S., & Geierhos, M. (2019). In Reviews We Trust: But Should We? Experiences with Physician Review Websites. In M. Ramachandran, R. Walters, G. Wills, V. Méndez Muñoz, & V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security (pp. 147–155). Heraklion, Greece: SciTePress – Science and Technology Publications.
  26. Bäumer, F. S., Kersting, J., Orlikowski, M., & Geierhos, M. (2018). Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In A. Khalili & M. Koutraki (Eds.), 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). Vienna, Austria: CEUR-WS.org.
  27. Bäumer, F. S., & Geierhos, M. (2018). How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, … A. Zamansky (Eds.), 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, The Netherlands: CEUR-WS.org.
  28. Bäumer, F. S., & 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). Big Island, Waikoloa Village. https://doi.org/10125/50609
  29. Friesen, E., Bäumer, F. S., & Geierhos, M. (2018). CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, … A. Zamansky (Eds.), 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, The Netherlands: CEUR-WS.org.
  30. Caron, M., Bäumer, F. S., & Geierhos, M. (2018). Back to Basics: Extracting Software Requirements with a Syntactic Approach. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, … A. Zamansky (Eds.), 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, The Netherlands: CEUR-WS.org.
  31. Bäumer, F. S., & Geierhos, M. (2018). NLP in OTF Computing: Current Approaches and Open Challenges. In R. Damaševičius & G. Vasiljevienė (Eds.), Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018) (Vol. 920, pp. 559–570). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-99972-2_46
  32. Bäumer, F. S., & Geierhos, M. (2018). Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work. In European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science – Book of Abstracts. Paderborn, Germany.
  33. Bäumer, F. S., Kersting, J., Kuršelis, V., & Geierhos, M. (2018). Rate Your Physician: Findings from a Lithuanian Physician Rating Website. In R. Damaševičius & G. Vasiljevienė (Eds.), Communications in Computer and Information Science (Vol. 920, pp. 43–58). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-99972-2_4
  34. Bäumer, F. S., & 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.), Proceedings of the 23rd International Conference on Natural Language and Information Systems (Vol. 10859, pp. 509–513). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-91947-8_53
  35. Bäumer, F. S., 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: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings (Vol. 756, pp. 77–89). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-67642-5_7
  36. Geierhos, M., & Bäumer, F. S. (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 (1st ed., pp. 65–108). Newcastle upon Tyne, UK: Cambridge Scholars Publishing.
  37. van Rooijen, L., Bäumer, F. S., 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 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW) (pp. 379–385). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/REW.2017.26
  38. Bäumer, F. S., Dollmann, M., & Geierhos, M. (2017). Studying Software Descriptions in SourceForge and App Stores for a better Understanding of real-life Requirements. In F. Sarro, E. Shihab, M. Nagappan, M. C. Platenius, & D. Kaimann (Eds.), Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics (pp. 19–25). New York, NY, USA: ACM. https://doi.org/10.1145/3121264.3121269
  39. Geierhos, M., & Bäumer, F. S. (2016). How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement. In E. Métais, F. Meziane, M. Saraee, V. Sugumaran, & S. Vadera (Eds.), Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems (NLDB) (Vol. 9612, pp. 37–47). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-41754-7_4
  40. Bäumer, F. S., & 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.), Proceedings of the 22nd International Conference on Information and Software Technologies (ICIST)(Vol. 639, pp. 549–558). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-46254-7_44
  41. Geierhos, M., & Bäumer, F. S. (2015). Erfahrungsberichte aus zweiter Hand: Erkenntnisse über die Autorschaft von Arztbewertungen in Online-Portalen. In DHd 2015: Book of Abstracts (pp. 69–72). Graz, Austria: ZIM-ACDH.
  42. Geierhos, M., Bäumer, F. S., Schulze, S., & Klotz, C. (2015). Understanding the Patient 2.0: Gaining Insight into Patients’ Rating Behavior by User-generated Physician Review Mining. In H. Christiansen, I. Stojanovic, & G. A. Papadopoulos (Eds.), Modeling and Using Context. 9th International and Interdisciplinary Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings (Vol. 9405, pp. 159–171). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-25591-0_12
  43. Bäumer, F. S., 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 (Vol. 538, pp. 3–15). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-24770-0_1
  44. Geierhos, M., Bäumer, F. S., 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.), Proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2015) (Vol. 9101, pp. 305–315). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-19066-2_30
  45. Bäumer, F. S., Dollmann, M., & Geierhos, M. (2015). Find a Physician by Matching Medical Needs described in your Own Words. In E. M. Shakshuki (Ed.), The 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015) / The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015) / Affiliated Workshops (Vol. 63, pp. 417–424). Amsterdam, The Netherlands: Elsevier. https://doi.org/10.1016/j.procs.2015.08.362
  46. Geierhos, M., Bäumer, F. S., Schulze, S., & Stuß, V. (2015). “I grade what I get but write what I think.” Inconsistency Analysis in Patients’ Reviews. In ECIS 2015 Completed Research Papers. New York, NY, USA: Elsevier. https://doi.org/10.18151/7217324
  47. Geierhos, M., Schulze, S., & Bäumer, F. S. (2015). What did you mean? Facing the Challenges of User-generated Software Requirements. In S. Loiseau, J. Filipe, B. Duval, & J. van den Herik (Eds.), Proceedings of the 7th International Conference on Agents and Artificial Intelligence (ICAART), Special Session on Partiality, Underspecification, and Natural Language Processing (PUaNLP 2015) (pp. 277–283). Setúbal, Portugal: SciTePress – Science and Technology Publications. https://doi.org/10.5220/0005346002770283
  48. Jeong, D.-H., Gim, J., Jung, H., Geierhos, M., & Bäumer, F. S. (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) (pp. 369–371). Kathmandu, Nepal.
  49. Bäumer, F. S., Gim, J., Jeong, D.-H., Geierhos, M., & Jung, H. (2014). Linked Open Data System for Scientific Data Sets. In H. Jung, T. Mandl, C. Womsen-Hacker, & S. Xu (Eds.), Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014(Vol. 1292). Hildesheim, Germany: CEUR-WS.org.

Enzyklopädieeinträge

  1. Bäumer, F. S., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing. In encyclopedia.pub. Basel, Switzerland: MDPI.
  2. Michaela Geierhos & Frederik S. Bäumer: Text Mining. In: Gronau, Norbert; Becker, Jörg; Sinz, Elmar; Suhl, L.; Leimeister, Jan Marco (Hrsg.) Enzyklopädie der Wirtschaftsinformatik GITO-Verlag, 9. Auflage, Nov. 2016.
  3. Michaela Geierhos & Frederik S. Bäumer: Sentimentanalyse. In: Gronau, Norbert; Becker, Jörg; Sinz, Elmar; Suhl, L.; Leimeister, Jan Marco (Hrsg.) Enzyklopädie der Wirtschaftsin- formatik GITO-Verlag, 9. Auflage, Nov. 2016.
  4. Michaela Geierhos & Frederik S. Bäumer: Webmonitoring. In: Gronau, Norbert; Becker, Jörg; Sinz, Elmar; Suhl, L.; Leimeister, Jan Marco (Hrsg.) Enzyklopädie der Wirtschaftsin- formatik GITO-Verlag, 9. Auflage, Nov. 2016.
  5. Michaela Geierhos & Frederik S. Bäumer: Crawler (fokussiert / nicht fokussiert). In: Gronau, Norbert; Becker, Jörg; Sinz, Elmar; Suhl, L.; Leimeister, Jan Marco (Hrsg.) Enzyklopädie der Wirtschaftsinformatik GITO-Verlag, 9. Auflage, Nov. 2016.

Poster

  1. DATA 2019 (Conference, English)
  2. GAL 2018 (Award ceremony, German)
  3. SEMANTICS 2018 (Conference, English)
  4. Leichte Sprache (Conference, German)