Publikationen Dr. Frederik Simon Bäumer - Monografien Stand: 01.05.2021 - FH Bielefeld

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Publikationen Dr. Frederik Simon Bäumer
Stand: 01.05.2021

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. 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

Buchkapitel
   1. 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
   2. 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
   3. 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
   4. 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.
5. 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
 6. 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
 7. 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

Konferenzbeiträge
 1. 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.
 2. 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.
 3. 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.
 4. 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.
 5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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
11. 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.
12. 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.
13. 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
14. 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.
15. 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
16. 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
17. 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
18. 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
19. 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.
20. 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
  21. 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
  22. 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
  23. 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.
  24. 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
  •   DATA 2019 (Conference, English)
  •   GAL 2018 (Award ceremony, German)
  •   SEMANTICS 2018 (Conference, English)
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