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68 Publikationen

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[68]
2024 | Artikel | FH-PUB-ID: 4454 | OA
Pixels versus Privacy: Leveraging Vision-Language Models for Sensitive Information Extraction
S. Schultenkämper, F.S. Bäumer, International Journal On Advances in Security 17 (2024) 1–10.
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[67]
2024 | Konferenzbeitrag | FH-PUB-ID: 4453
Structured Knowledge Extraction for Digital Twins: Leveraging LLMs to Analyze Tweets
S. Schultenkämper, F.S. Bäumer, in: Springer (Ed.), Communications in Computer and Information Science, Cham, 2024.
HSBI-PUB
 
[66]
2023 | Konferenzbeitrag | FH-PUB-ID: 3629 | OA
Synergien zwischen KI und menschlicher Expertise: Online-Sichtbarkeitsoptimierung durch Text-Transformation
B. Sirvend, A. Stahlkopf, F. Bäumer, in: M. Klein, D. Krupka, C. Winter, V. Wohlgemuth (Eds.), INFORMATIK 2023, Köllen Druck+Verlag GmbH, Berlin, 2023.
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[65]
2023 | Konferenzbeitrag | FH-PUB-ID: 3297 | OA
Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection
S. Schultenkämper, F. Bäumer, 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., IARIA, 2023, pp. 2–5.
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[64]
2023 | Konferenzbeitrag | FH-PUB-ID: 3296 | OA
Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web
S. Schultenkämper, F. Bäumer, in: IARIA (Ed.), ICIW 2023 : The Eighteenth International Conference on Internet and Web Applications and Services, 2023, pp. 2–6.
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[63]
2023 | Konferenzbeitrag | FH-PUB-ID: 3612
From Digital Tracks to Digital Twins: On the Path to Cross-Platform Profile Linking
S. Schultenkämper, F. Bäumer, B. Bellgrau, Y.S. Lee, M. Geierhos, in: 27th International Conference on Enterprise Design, Operations Computing (EDOC 2023): First Workshop on the Modelling and Implementation of Digital Twins for Complex Systems), 2023.
HSBI-PUB | DOI
 
[62]
2023 | Konferenzbeitrag | FH-PUB-ID: 3606
Privacy Risks in German Patient Forums: A NER-based Approach to Enrich Digital Twins
S. Schultenkämper, F. Bäumer, in: Information and Software Technologies. 29th International Conference, ICIST 2023, Kaunas, Lithuania, October 12–14, 2023, Proceedings, Springer International Publishing, Cham, 2023.
HSBI-PUB | DOI
 
[61]
2023 | Konferenzbeitrag | FH-PUB-ID: 3614 | OA
From Unstructured Data to Digital Twins: From Tweets to Structured Knowledge
S. Schultenkämper, F. Bäumer, M. Geierhos, Y.S. Lee, in: Proceedings of the Thirteenth International Conference on Social Media Technologies, Communication, and Informatics (SOTICS 2023), 2023.
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[60]
2023 | Konferenzbeitrag | FH-PUB-ID: 3631 | OA
Von der Theorie zur Praxis: Erfahrungen bei der akademischen Begleitung von KI-Projekten in KMUs
F. Bäumer, H. Brandt-Pook, F. Maoro, S. Schultenkämper, B. Stecker, in: M. Klein, D. Krupka, C. Winter, V. Wohlgemuth, Gesellschaft für Informatik e.V. (GI) (Eds.), INFORMATIK 2023, Köllen Druck+Verlag GmbH, Berlin, 2023.
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[59]
2023 | Buchbeitrag | FH-PUB-ID: 3247 | OA
Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation
F. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: On-The-Fly Computing - Individualized IT-Services in Dynamic Markets, 2023.
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[58]
2022 | Konferenzbeitrag | FH-PUB-ID: 2715 | OA
Tackling the "We have no Data" Challenge: Domain-Specific Machine Translation in SMEs.
F. Bäumer, S. Denisov, B. Sirvend, J. Weber, 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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[57]
2022 | Konferenzbeitrag | FH-PUB-ID: 2688 | OA
Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models
M. Caron, F. Bäumer, O. Müller, in: Proceedings of the 55th Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, 2022.
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[56]
2022 | Konferenzbeitrag | FH-PUB-ID: 2716 | OA
Track Me If You Can: Insights into Profile Interlinking on Social Networks
S. Denisov, F. Bäumer, M. Geierhos, 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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[55]
2022 | Konferenzbeitrag | FH-PUB-ID: 2714 | OA
Concept of an Inference Procedure for Fault Detection in Production Planning
J. Spoor, J. Weber, S. Hagemann, F. Bäumer, 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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[54]
2022 | Buchbeitrag | FH-PUB-ID: 2687
The Only Link You’ll Ever Need: How Social Media Reference Landing Pages Speed Up Profile Matching
S. Schultenkämper, F. Bäumer, in: A. Lopata, D. Gudonienė, R. Butkienė (Eds.), Information and Software Technologies. 28th International Conference, ICIST 2022, Kaunas, Lithuania, October 13–15, 2022, Proceedings, Springer International Publishing, Cham, 2022, pp. 136–147.
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[53]
2022 | Konferenzbeitrag | FH-PUB-ID: 2726 | OA
Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis
J. Kersting, F. Bäumer, 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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[52]
2021 | Konferenzbeitrag | FH-PUB-ID: 1753
IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING
F. Bäumer, J. Kersting, S. Denisov, M. Geierhos, in: Proceedings of the International Conferences on WWW/Internet 2021 and Applied Computing 2021 , IADIS , 2021, pp. 221–225.
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[51]
2021 | Artikel | FH-PUB-ID: 1788
Die Unterstützung der Arbeit auf der Rechtsantragstelle durch Chatbots
D.A. Hötte, F. Bäumer, I.D. Biallaß, M. Sommerfeld, Computer und Recht 37 (2021) 770–776.
HSBI-PUB | DOI
 
[50]
2021 | Konferenzbeitrag | FH-PUB-ID: 1791
How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets
S. Denisov, F. Bäumer, in: A. Lopata, D. Gudonienė, R. Butkienė (Eds.), Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings, Springer International Publishing, Cham, 2021, pp. 353–366.
HSBI-PUB | DOI
 
[49]
2021 | Konferenzbeitrag | FH-PUB-ID: 1790 | OA
EVALUATION OF NAMED ENTITY RECOGNITION FOR THE GERMAN E-COMMERCE DOMAIN
S. Denisov, F. Bäumer, in: WWW/INTERNET 2021 AND APPLIED COMPUTING, 2021.
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[48]
2021 | Konferenzbeitrag | FH-PUB-ID: 2717 | OA
Towards Authority-Dependent Risk Identification and Analysis in Online Networks.
F. Bäumer, S. Denisov, M. Geierhos, Y. Su Lee, in: Proceedings of Artificial Intelligence, Machine Learning and Big Data for Hybrid Military Operations (AI4HMO), 2021.
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[47]
2020 | Konferenzbeitrag | FH-PUB-ID: 1792
A Concept of enabling Data Consistency Checks between Production and Production Planning using AI
E. Gelwer, J. Weber, F. Bäumer, in: H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing, IADIS, Lisbon, Portugal, 2020.
HSBI-PUB | DOI
 
[46]
2020 | Konferenzbeitrag | FH-PUB-ID: 1793
Data Consistency from Production to Production Planning using AI
E. Gelwer, J. Weber, F. Bäumer, in: H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing, IADIS, Lisbon, Portugal, 2020.
HSBI-PUB | DOI
 
[45]
2020 | Buchbeitrag | FH-PUB-ID: 1754
Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging
F. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: Information and Software Technologies, 2020.
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[44]
2020 | Konferenzbeitrag | FH-PUB-ID: 1755
SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH
J. Kersting, F. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 2020.
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[43]
2019 | Konferenzbeitrag | FH-PUB-ID: 1759 | OA
In Reviews We Trust: But Should We? Experiences with Physician Review Websites
J. Kersting, F. Bäumer, M. Geierhos, in: Association for Computing Machinery (Ed.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, SciTePress, New York United States, 2019, pp. 147–155.
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[42]
2019 | Konferenzbeitrag | FH-PUB-ID: 1758
Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen
F. Bäumer, B. Buff, M. Geierhos, in: P. Sahle (Ed.), DHd 2019 Digital Humanities: Multimedial & Multimodal. Konferenzabstracts, 2019.
HSBI-PUB | DOI
 
[41]
2019 | Konferenzbeitrag | FH-PUB-ID: 1760
How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer's Openness
F. Bäumer, B. Buff, in: S. Hammoudi , C. Quix , J. Bernardino (Eds.), Proceedings of the 8th International Conference on Data Science, Technology and Applications, SciTePress, 2019, pp. 129–136.
HSBI-PUB | DOI
 
[40]
2019 | Artikel | FH-PUB-ID: 1757 HSBI-PUB | DOI
 
[39]
2019 | Artikel | FH-PUB-ID: 1756 | OA
Requirements Engineering in OTF-Computing
F. Bäumer, M. Geierhos, Encyclopedia.Pub (2019).
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[38]
2018 | Buchbeitrag | FH-PUB-ID: 1742
Rate Your Physician: Findings from a Lithuanian Physician Rating Website
F. Bäumer, J. Kersting, V. Kuršelis, M. Geierhos, in: R. Damaševičius, G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings, Springer International Publishing, Cham, 2018, pp. 43–58.
HSBI-PUB | DOI
 
[37]
2018 | Konferenzbeitrag | FH-PUB-ID: 1761
How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges
F. Bäumer, M. Geierhos, in: Proceedings of the 23rd International Conference on Natural Language and Information Systems, Springer, 2018.
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[36]
2018 | Konferenzbeitrag | FH-PUB-ID: 1766
How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas
F. Bäumer, M. Geierhos, 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), EUR-WS.org, 2018.
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[35]
2018 | Konferenzbeitrag | FH-PUB-ID: 1764
Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews
F. Bäumer, J. Kersting, M. Orlikowski, M. Geierhos, 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), 2018.
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[34]
2018 | Buchbeitrag | FH-PUB-ID: 1741
NLP in OTF Computing: Current Approaches and Open Challenges
F. Bäumer, M. Geierhos, in: R. Damaševičius, G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings, Springer International Publishing, Cham, 2018, pp. 559–570.
HSBI-PUB | DOI
 
[33]
2018 | Buchbeitrag | FH-PUB-ID: 1740
How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges
F. Bäumer, M. Geierhos, in: M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, F. Meziane (Eds.), Natural Language Processing and Information Systems, Springer International Publishing, Cham, 2018, pp. 509–513.
HSBI-PUB | DOI
 
[32]
2018 | Artikel | FH-PUB-ID: 1762
Rate Your Physician: Findings from a Lithuanian Physician Rating Website
F. Bäumer, J. Kersting, V. Kuršelis, M. Geierhos, Communications in Computer and Information Science 920 (2018).
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[31]
2018 | Konferenzbeitrag | FH-PUB-ID: 1767
CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface
E. Friesen, F. Bäumer, M. Geierhos, 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), 2018.
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[30]
2018 | Konferenzbeitrag | FH-PUB-ID: 1768
Back to Basics: Extracting Software Requirements with a Syntactic Approach
M. Caron, F. Bäumer, M. Geierhos, 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), 2018.
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[29]
2018 | Konferenzbeitrag | FH-PUB-ID: 1765
Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines
F. Bäumer, M. Geierhos, in: Proceedings of the 51st Hawaii International Conference on System Sciences, 2018.
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[28]
2018 | Konferenzbeitrag | FH-PUB-ID: 1763
NLP in OTF Computing: Current Approaches and Open Challenges
F. Bäumer, M. Geierhos, in: Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018), Springer, 2018.
HSBI-PUB
 
[27]
2017 | Dissertation | FH-PUB-ID: 1745
Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen
F. Bäumer, Indikatorbasierte Erkennung Und Kompensation von Ungenauen Und Unvollständig Beschriebenen Softwareanforderungen, UB-PAD - Paderborn University Library, 2017.
HSBI-PUB | DOI
 
[26]
2017 | Konferenzbeitrag | FH-PUB-ID: 1747
Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements
F. Bäumer, M. Dollmann, M. Geierhos, F. Sarro, E. Shihab, M. Nagappan, M.C. Platenius, D. Kaimann, in: Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, ACM, New York, NY, USA, 2017, pp. 19–25.
HSBI-PUB | DOI
 
[25]
2017 | Datenpublikation | FH-PUB-ID: 1744
Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen - Indicator-based detection and compensation of inaccurate and incompletely described software requirements
F. Bäumer, 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, 2017.
HSBI-PUB | DOI
 
[24]
2017 | Buchbeitrag | FH-PUB-ID: 1746
Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews
F. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies, Springer International Publishing, Cham, 2017, pp. 77–89.
HSBI-PUB | DOI
 
[23]
2017 | Konferenzbeitrag | FH-PUB-ID: 1743
From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process
L. van Rooijen, F. Bäumer, M.C. Platenius, M. Geierhos, H. Hamann, G. Engels, in: 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), IEEE, 2017, pp. 379–385.
HSBI-PUB | DOI
 
[22]
2017 | Konferenzbeitrag | FH-PUB-ID: 1773
From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process
L. van Rooijen, F. Bäumer, M.C. Platenius, M. Geierhos, H. Hamann, G. Engels, in: 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), IEEE, 2017.
HSBI-PUB
 
[21]
2017 | Dissertation | FH-PUB-ID: 1772
Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen
F. Bäumer, Indikatorbasierte Erkennung Und Kompensation von Ungenauen Und Unvollständig Beschriebenen Softwareanforderungen, Universität Paderborn, Paderborn, 2017.
HSBI-PUB
 
[20]
2017 | Artikel | FH-PUB-ID: 1771
Studying Software Descriptions in SourceForge and App Stores for a better Understanding of real-life Requirements
F. Bäumer, M. Dollmann, M. Geierhos, Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics (2017).
HSBI-PUB
 
[19]
2017 | Buchbeitrag | FH-PUB-ID: 1769
Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews
F. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, 2017.
HSBI-PUB
 
[18]
2017 | Artikel | FH-PUB-ID: 1770
Guesswork? Resolving Vagueness in User-Generated Software Requirements
M. Geierhos, F. Bäumer, Partiality and Underspecification in Information, Languages, and Knowledge (2017).
HSBI-PUB
 
[17]
2016 | Buchbeitrag | FH-PUB-ID: 1748
How to Complete Customer Requirements
M. Geierhos, F. Bäumer, in: E. Métais, F. Meziane, M. Saraee, V. Sugumaran, S. Vadera (Eds.), Natural Language Processing and Information Systems, Springer International Publishing, Cham, 2016, pp. 37–47.
HSBI-PUB | DOI
 
[16]
2016 | Buchbeitrag | FH-PUB-ID: 1749
Running Out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions
F. Bäumer, M. Geierhos, in: G. Dregvaite, R. Damasevicius (Eds.), Information and Software Technologies. 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings, Springer International Publishing, Cham, 2016, pp. 549–558.
HSBI-PUB | DOI
 
[15]
2016 | Konferenzbeitrag | FH-PUB-ID: 1775
Running out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions
F. Bäumer, M. Geierhos, in: Proceedings of the 22nd International Conference on Information and Software Technologies (ICIST), Springer, Druskininkai, Lithuania, 2016.
HSBI-PUB
 
[14]
2016 | Konferenzbeitrag | FH-PUB-ID: 1774
How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement
M. Geierhos, F. Bäumer, in: Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems (NLDB), Springer, Salford, UK, 2016.
HSBI-PUB
 
[13]
2015 | Buchbeitrag | FH-PUB-ID: 1778
"I grade what I get but write what I think." Inconsistency Analysis in Patients' Reviews
M. Geierhos, F. Bäumer, S. Schulze, V. Stuß, in: ECIS 2015 Completed Research Papers, University of Münster, Münster, Germany, Münster, Germany, 2015.
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[12]
2015 | Buchbeitrag | FH-PUB-ID: 1779 | OA
Der zufriedene Patient 2.0: Analyse anonymer Arztbewertungen im Web 2.0
M. Geierhos, S. Schulze, F. Bäumer, in: Proceedings Des Kompetenzzentrums Verbraucherforschung NRW, Verbraucherzentrale NRW/Kompetenzzentrum Verbraucherforschung NRW, 2015.
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[11]
2015 | Buchbeitrag | FH-PUB-ID: 1776
Filtering Reviews by Random Individual Error
M. Geierhos, F. Bäumer, S. Schulze, V. Stuß, in: M. Ali, Y.S. Kwon, C.-H. Lee, J. Kim, Y. Kim (Eds.), Current Approaches in Applied Artificial Intelligence, Springer International Publishing, Cham, 2015, pp. 305–315.
HSBI-PUB | DOI
 
[10]
2015 | Buchbeitrag | FH-PUB-ID: 1782
Understanding the Patient 2.0
M. Geierhos, F. Bäumer, S. Schulze, C. Klotz, in: H. Christiansen, I. Stojanovic, G.A. Papadopoulos (Eds.), Modeling and Using Context, Springer International Publishing, Cham, 2015, pp. 159–171.
HSBI-PUB | DOI
 
[9]
2015 | Buchbeitrag | FH-PUB-ID: 1750
Filtering Reviews by Random Individual Error
M. Geierhos, F. Bäumer, S. Schulze, V. Stuß, in: M. Ali, Y.S. Kwon, C.-H. Lee, J. Kim, Y. Kim (Eds.), Current Approaches in Applied Artificial Intelligence, Springer International Publishing, Cham, 2015, pp. 305–315.
HSBI-PUB | DOI
 
[8]
2015 | Diskussionspapier | FH-PUB-ID: 1751 | OA
Der zufriedene Patient 2.0 - Analyse anonymer Arztbewertungen im Web 2.0
M. Geierhos, S. Schulze, F. Bäumer, V. NRW/Kompetenzzentrum Verbraucherforschung NRW, Der Zufriedene Patient 2.0 - Analyse Anonymer Arztbewertungen Im Web 2.0, vz-nrw (Verbraucherzentrale Nordrhein-Westfalen e. V.), 2015.
HSBI-PUB | DOI | Download (ext.)
 
[7]
2015 | Konferenzbeitrag | FH-PUB-ID: 1780
Find a Physician by Matching Medical Needs Described in your Own Words
F. Bäumer, M. Dollmann, M. Geierhos, in: Procedia Computer Science, Elsevier BV, 2015, pp. 417–424.
HSBI-PUB | DOI
 
[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 1777 HSBI-PUB
 
[5]
2015 | Konferenzbeitrag | FH-PUB-ID: 1783
What Did You Mean? - Facing the Challenges of User-generated Software Requirements
M. Geierhos, S. Schulze, F. Bäumer, in: Proceedings of the International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and and Technology Publications, 2015, pp. 277–283.
HSBI-PUB | DOI
 
[4]
2015 | Buchbeitrag | FH-PUB-ID: 1784
Understanding the Patient 2.0
M. Geierhos, F. Bäumer, S. Schulze, C. Klotz, in: H. Christiansen, I. Stojanovic, G.A. Papadopoulos (Eds.), Modeling and Using Context, Springer International Publishing, Cham, 2015, pp. 159–171.
HSBI-PUB | DOI
 
[3]
2015 | Buchbeitrag | FH-PUB-ID: 1781
A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews
F. Bäumer, M. Geierhos, S. Schulze, in: G. Dregvaite, R. Damasevicius (Eds.), Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015, Proceedings, Springer International Publishing, Cham, 2015, pp. 3–15.
HSBI-PUB | DOI
 
[2]
2014 | Konferenzbeitrag | FH-PUB-ID: 1787 | OA
Linked Open Data System for Scientific Data Sets
F. Bäumer, J. Gim, D.-H. Jeong, M. Geierhos, H. Jung, in: Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014, 2014.
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[1]
2014 | Konferenzbeitrag | FH-PUB-ID: 1786
Comparative study on disambiguating acronyms in the scientific papers using the open knowledge base
D.-H. Jeong, J. Gim, H. Jung, M. Geierhos, F. Bäumer, in: Conference Proceedings of the 9th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2014), 2014.
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68 Publikationen

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[68]
2024 | Artikel | FH-PUB-ID: 4454 | OA
Pixels versus Privacy: Leveraging Vision-Language Models for Sensitive Information Extraction
S. Schultenkämper, F.S. Bäumer, International Journal On Advances in Security 17 (2024) 1–10.
HSBI-PUB | Download (ext.)
 
[67]
2024 | Konferenzbeitrag | FH-PUB-ID: 4453
Structured Knowledge Extraction for Digital Twins: Leveraging LLMs to Analyze Tweets
S. Schultenkämper, F.S. Bäumer, in: Springer (Ed.), Communications in Computer and Information Science, Cham, 2024.
HSBI-PUB
 
[66]
2023 | Konferenzbeitrag | FH-PUB-ID: 3629 | OA
Synergien zwischen KI und menschlicher Expertise: Online-Sichtbarkeitsoptimierung durch Text-Transformation
B. Sirvend, A. Stahlkopf, F. Bäumer, in: M. Klein, D. Krupka, C. Winter, V. Wohlgemuth (Eds.), INFORMATIK 2023, Köllen Druck+Verlag GmbH, Berlin, 2023.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[65]
2023 | Konferenzbeitrag | FH-PUB-ID: 3297 | OA
Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection
S. Schultenkämper, F. Bäumer, 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., IARIA, 2023, pp. 2–5.
HSBI-PUB | Download (ext.)
 
[64]
2023 | Konferenzbeitrag | FH-PUB-ID: 3296 | OA
Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web
S. Schultenkämper, F. Bäumer, in: IARIA (Ed.), ICIW 2023 : The Eighteenth International Conference on Internet and Web Applications and Services, 2023, pp. 2–6.
HSBI-PUB | Download (ext.)
 
[63]
2023 | Konferenzbeitrag | FH-PUB-ID: 3612
From Digital Tracks to Digital Twins: On the Path to Cross-Platform Profile Linking
S. Schultenkämper, F. Bäumer, B. Bellgrau, Y.S. Lee, M. Geierhos, in: 27th International Conference on Enterprise Design, Operations Computing (EDOC 2023): First Workshop on the Modelling and Implementation of Digital Twins for Complex Systems), 2023.
HSBI-PUB | DOI
 
[62]
2023 | Konferenzbeitrag | FH-PUB-ID: 3606
Privacy Risks in German Patient Forums: A NER-based Approach to Enrich Digital Twins
S. Schultenkämper, F. Bäumer, in: Information and Software Technologies. 29th International Conference, ICIST 2023, Kaunas, Lithuania, October 12–14, 2023, Proceedings, Springer International Publishing, Cham, 2023.
HSBI-PUB | DOI
 
[61]
2023 | Konferenzbeitrag | FH-PUB-ID: 3614 | OA
From Unstructured Data to Digital Twins: From Tweets to Structured Knowledge
S. Schultenkämper, F. Bäumer, M. Geierhos, Y.S. Lee, in: Proceedings of the Thirteenth International Conference on Social Media Technologies, Communication, and Informatics (SOTICS 2023), 2023.
HSBI-PUB | Download (ext.)
 
[60]
2023 | Konferenzbeitrag | FH-PUB-ID: 3631 | OA
Von der Theorie zur Praxis: Erfahrungen bei der akademischen Begleitung von KI-Projekten in KMUs
F. Bäumer, H. Brandt-Pook, F. Maoro, S. Schultenkämper, B. Stecker, in: M. Klein, D. Krupka, C. Winter, V. Wohlgemuth, Gesellschaft für Informatik e.V. (GI) (Eds.), INFORMATIK 2023, Köllen Druck+Verlag GmbH, Berlin, 2023.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[59]
2023 | Buchbeitrag | FH-PUB-ID: 3247 | OA
Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation
F. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: On-The-Fly Computing - Individualized IT-Services in Dynamic Markets, 2023.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[58]
2022 | Konferenzbeitrag | FH-PUB-ID: 2715 | OA
Tackling the "We have no Data" Challenge: Domain-Specific Machine Translation in SMEs.
F. Bäumer, S. Denisov, B. Sirvend, J. Weber, 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.)
 
[57]
2022 | Konferenzbeitrag | FH-PUB-ID: 2688 | OA
Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models
M. Caron, F. Bäumer, O. Müller, in: Proceedings of the 55th Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, 2022.
HSBI-PUB | DOI | Download (ext.)
 
[56]
2022 | Konferenzbeitrag | FH-PUB-ID: 2716 | OA
Track Me If You Can: Insights into Profile Interlinking on Social Networks
S. Denisov, F. Bäumer, M. Geierhos, 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.)
 
[55]
2022 | Konferenzbeitrag | FH-PUB-ID: 2714 | OA
Concept of an Inference Procedure for Fault Detection in Production Planning
J. Spoor, J. Weber, S. Hagemann, F. Bäumer, 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.)
 
[54]
2022 | Buchbeitrag | FH-PUB-ID: 2687
The Only Link You’ll Ever Need: How Social Media Reference Landing Pages Speed Up Profile Matching
S. Schultenkämper, F. Bäumer, in: A. Lopata, D. Gudonienė, R. Butkienė (Eds.), Information and Software Technologies. 28th International Conference, ICIST 2022, Kaunas, Lithuania, October 13–15, 2022, Proceedings, Springer International Publishing, Cham, 2022, pp. 136–147.
HSBI-PUB | DOI
 
[53]
2022 | Konferenzbeitrag | FH-PUB-ID: 2726 | OA
Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis
J. Kersting, F. Bäumer, 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.)
 
[52]
2021 | Konferenzbeitrag | FH-PUB-ID: 1753
IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING
F. Bäumer, J. Kersting, S. Denisov, M. Geierhos, in: Proceedings of the International Conferences on WWW/Internet 2021 and Applied Computing 2021 , IADIS , 2021, pp. 221–225.
HSBI-PUB
 
[51]
2021 | Artikel | FH-PUB-ID: 1788
Die Unterstützung der Arbeit auf der Rechtsantragstelle durch Chatbots
D.A. Hötte, F. Bäumer, I.D. Biallaß, M. Sommerfeld, Computer und Recht 37 (2021) 770–776.
HSBI-PUB | DOI
 
[50]
2021 | Konferenzbeitrag | FH-PUB-ID: 1791
How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets
S. Denisov, F. Bäumer, in: A. Lopata, D. Gudonienė, R. Butkienė (Eds.), Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings, Springer International Publishing, Cham, 2021, pp. 353–366.
HSBI-PUB | DOI
 
[49]
2021 | Konferenzbeitrag | FH-PUB-ID: 1790 | OA
EVALUATION OF NAMED ENTITY RECOGNITION FOR THE GERMAN E-COMMERCE DOMAIN
S. Denisov, F. Bäumer, in: WWW/INTERNET 2021 AND APPLIED COMPUTING, 2021.
HSBI-PUB | Download (ext.)
 
[48]
2021 | Konferenzbeitrag | FH-PUB-ID: 2717 | OA
Towards Authority-Dependent Risk Identification and Analysis in Online Networks.
F. Bäumer, S. Denisov, M. Geierhos, Y. Su Lee, in: Proceedings of Artificial Intelligence, Machine Learning and Big Data for Hybrid Military Operations (AI4HMO), 2021.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[47]
2020 | Konferenzbeitrag | FH-PUB-ID: 1792
A Concept of enabling Data Consistency Checks between Production and Production Planning using AI
E. Gelwer, J. Weber, F. Bäumer, in: H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing, IADIS, Lisbon, Portugal, 2020.
HSBI-PUB | DOI
 
[46]
2020 | Konferenzbeitrag | FH-PUB-ID: 1793
Data Consistency from Production to Production Planning using AI
E. Gelwer, J. Weber, F. Bäumer, in: H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing, IADIS, Lisbon, Portugal, 2020.
HSBI-PUB | DOI
 
[45]
2020 | Buchbeitrag | FH-PUB-ID: 1754
Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging
F. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: Information and Software Technologies, 2020.
HSBI-PUB
 
[44]
2020 | Konferenzbeitrag | FH-PUB-ID: 1755
SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH
J. Kersting, F. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 2020.
HSBI-PUB
 
[43]
2019 | Konferenzbeitrag | FH-PUB-ID: 1759 | OA
In Reviews We Trust: But Should We? Experiences with Physician Review Websites
J. Kersting, F. Bäumer, M. Geierhos, in: Association for Computing Machinery (Ed.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, SciTePress, New York United States, 2019, pp. 147–155.
HSBI-PUB | Download (ext.)
 
[42]
2019 | Konferenzbeitrag | FH-PUB-ID: 1758
Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen
F. Bäumer, B. Buff, M. Geierhos, in: P. Sahle (Ed.), DHd 2019 Digital Humanities: Multimedial & Multimodal. Konferenzabstracts, 2019.
HSBI-PUB | DOI
 
[41]
2019 | Konferenzbeitrag | FH-PUB-ID: 1760
How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer's Openness
F. Bäumer, B. Buff, in: S. Hammoudi , C. Quix , J. Bernardino (Eds.), Proceedings of the 8th International Conference on Data Science, Technology and Applications, SciTePress, 2019, pp. 129–136.
HSBI-PUB | DOI
 
[40]
2019 | Artikel | FH-PUB-ID: 1757 HSBI-PUB | DOI
 
[39]
2019 | Artikel | FH-PUB-ID: 1756 | OA
Requirements Engineering in OTF-Computing
F. Bäumer, M. Geierhos, Encyclopedia.Pub (2019).
HSBI-PUB | Download (ext.)
 
[38]
2018 | Buchbeitrag | FH-PUB-ID: 1742
Rate Your Physician: Findings from a Lithuanian Physician Rating Website
F. Bäumer, J. Kersting, V. Kuršelis, M. Geierhos, in: R. Damaševičius, G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings, Springer International Publishing, Cham, 2018, pp. 43–58.
HSBI-PUB | DOI
 
[37]
2018 | Konferenzbeitrag | FH-PUB-ID: 1761
How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges
F. Bäumer, M. Geierhos, in: Proceedings of the 23rd International Conference on Natural Language and Information Systems, Springer, 2018.
HSBI-PUB
 
[36]
2018 | Konferenzbeitrag | FH-PUB-ID: 1766
How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas
F. Bäumer, M. Geierhos, 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), EUR-WS.org, 2018.
HSBI-PUB
 
[35]
2018 | Konferenzbeitrag | FH-PUB-ID: 1764
Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews
F. Bäumer, J. Kersting, M. Orlikowski, M. Geierhos, 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), 2018.
HSBI-PUB
 
[34]
2018 | Buchbeitrag | FH-PUB-ID: 1741
NLP in OTF Computing: Current Approaches and Open Challenges
F. Bäumer, M. Geierhos, in: R. Damaševičius, G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings, Springer International Publishing, Cham, 2018, pp. 559–570.
HSBI-PUB | DOI
 
[33]
2018 | Buchbeitrag | FH-PUB-ID: 1740
How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges
F. Bäumer, M. Geierhos, in: M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, F. Meziane (Eds.), Natural Language Processing and Information Systems, Springer International Publishing, Cham, 2018, pp. 509–513.
HSBI-PUB | DOI
 
[32]
2018 | Artikel | FH-PUB-ID: 1762
Rate Your Physician: Findings from a Lithuanian Physician Rating Website
F. Bäumer, J. Kersting, V. Kuršelis, M. Geierhos, Communications in Computer and Information Science 920 (2018).
HSBI-PUB
 
[31]
2018 | Konferenzbeitrag | FH-PUB-ID: 1767
CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface
E. Friesen, F. Bäumer, M. Geierhos, 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), 2018.
HSBI-PUB
 
[30]
2018 | Konferenzbeitrag | FH-PUB-ID: 1768
Back to Basics: Extracting Software Requirements with a Syntactic Approach
M. Caron, F. Bäumer, M. Geierhos, 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), 2018.
HSBI-PUB
 
[29]
2018 | Konferenzbeitrag | FH-PUB-ID: 1765
Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines
F. Bäumer, M. Geierhos, in: Proceedings of the 51st Hawaii International Conference on System Sciences, 2018.
HSBI-PUB
 
[28]
2018 | Konferenzbeitrag | FH-PUB-ID: 1763
NLP in OTF Computing: Current Approaches and Open Challenges
F. Bäumer, M. Geierhos, in: Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018), Springer, 2018.
HSBI-PUB
 
[27]
2017 | Dissertation | FH-PUB-ID: 1745
Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen
F. Bäumer, Indikatorbasierte Erkennung Und Kompensation von Ungenauen Und Unvollständig Beschriebenen Softwareanforderungen, UB-PAD - Paderborn University Library, 2017.
HSBI-PUB | DOI
 
[26]
2017 | Konferenzbeitrag | FH-PUB-ID: 1747
Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements
F. Bäumer, M. Dollmann, M. Geierhos, F. Sarro, E. Shihab, M. Nagappan, M.C. Platenius, D. Kaimann, in: Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, ACM, New York, NY, USA, 2017, pp. 19–25.
HSBI-PUB | DOI
 
[25]
2017 | Datenpublikation | FH-PUB-ID: 1744
Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen - Indicator-based detection and compensation of inaccurate and incompletely described software requirements
F. Bäumer, 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, 2017.
HSBI-PUB | DOI
 
[24]
2017 | Buchbeitrag | FH-PUB-ID: 1746
Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews
F. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies, Springer International Publishing, Cham, 2017, pp. 77–89.
HSBI-PUB | DOI
 
[23]
2017 | Konferenzbeitrag | FH-PUB-ID: 1743
From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process
L. van Rooijen, F. Bäumer, M.C. Platenius, M. Geierhos, H. Hamann, G. Engels, in: 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), IEEE, 2017, pp. 379–385.
HSBI-PUB | DOI
 
[22]
2017 | Konferenzbeitrag | FH-PUB-ID: 1773
From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process
L. van Rooijen, F. Bäumer, M.C. Platenius, M. Geierhos, H. Hamann, G. Engels, in: 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), IEEE, 2017.
HSBI-PUB
 
[21]
2017 | Dissertation | FH-PUB-ID: 1772
Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen
F. Bäumer, Indikatorbasierte Erkennung Und Kompensation von Ungenauen Und Unvollständig Beschriebenen Softwareanforderungen, Universität Paderborn, Paderborn, 2017.
HSBI-PUB
 
[20]
2017 | Artikel | FH-PUB-ID: 1771
Studying Software Descriptions in SourceForge and App Stores for a better Understanding of real-life Requirements
F. Bäumer, M. Dollmann, M. Geierhos, Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics (2017).
HSBI-PUB
 
[19]
2017 | Buchbeitrag | FH-PUB-ID: 1769
Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews
F. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, 2017.
HSBI-PUB
 
[18]
2017 | Artikel | FH-PUB-ID: 1770
Guesswork? Resolving Vagueness in User-Generated Software Requirements
M. Geierhos, F. Bäumer, Partiality and Underspecification in Information, Languages, and Knowledge (2017).
HSBI-PUB
 
[17]
2016 | Buchbeitrag | FH-PUB-ID: 1748
How to Complete Customer Requirements
M. Geierhos, F. Bäumer, in: E. Métais, F. Meziane, M. Saraee, V. Sugumaran, S. Vadera (Eds.), Natural Language Processing and Information Systems, Springer International Publishing, Cham, 2016, pp. 37–47.
HSBI-PUB | DOI
 
[16]
2016 | Buchbeitrag | FH-PUB-ID: 1749
Running Out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions
F. Bäumer, M. Geierhos, in: G. Dregvaite, R. Damasevicius (Eds.), Information and Software Technologies. 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings, Springer International Publishing, Cham, 2016, pp. 549–558.
HSBI-PUB | DOI
 
[15]
2016 | Konferenzbeitrag | FH-PUB-ID: 1775
Running out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions
F. Bäumer, M. Geierhos, in: Proceedings of the 22nd International Conference on Information and Software Technologies (ICIST), Springer, Druskininkai, Lithuania, 2016.
HSBI-PUB
 
[14]
2016 | Konferenzbeitrag | FH-PUB-ID: 1774
How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement
M. Geierhos, F. Bäumer, in: Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems (NLDB), Springer, Salford, UK, 2016.
HSBI-PUB
 
[13]
2015 | Buchbeitrag | FH-PUB-ID: 1778
"I grade what I get but write what I think." Inconsistency Analysis in Patients' Reviews
M. Geierhos, F. Bäumer, S. Schulze, V. Stuß, in: ECIS 2015 Completed Research Papers, University of Münster, Münster, Germany, Münster, Germany, 2015.
HSBI-PUB | DOI | Download (ext.)
 
[12]
2015 | Buchbeitrag | FH-PUB-ID: 1779 | OA
Der zufriedene Patient 2.0: Analyse anonymer Arztbewertungen im Web 2.0
M. Geierhos, S. Schulze, F. Bäumer, in: Proceedings Des Kompetenzzentrums Verbraucherforschung NRW, Verbraucherzentrale NRW/Kompetenzzentrum Verbraucherforschung NRW, 2015.
HSBI-PUB | Download (ext.)
 
[11]
2015 | Buchbeitrag | FH-PUB-ID: 1776
Filtering Reviews by Random Individual Error
M. Geierhos, F. Bäumer, S. Schulze, V. Stuß, in: M. Ali, Y.S. Kwon, C.-H. Lee, J. Kim, Y. Kim (Eds.), Current Approaches in Applied Artificial Intelligence, Springer International Publishing, Cham, 2015, pp. 305–315.
HSBI-PUB | DOI
 
[10]
2015 | Buchbeitrag | FH-PUB-ID: 1782
Understanding the Patient 2.0
M. Geierhos, F. Bäumer, S. Schulze, C. Klotz, in: H. Christiansen, I. Stojanovic, G.A. Papadopoulos (Eds.), Modeling and Using Context, Springer International Publishing, Cham, 2015, pp. 159–171.
HSBI-PUB | DOI
 
[9]
2015 | Buchbeitrag | FH-PUB-ID: 1750
Filtering Reviews by Random Individual Error
M. Geierhos, F. Bäumer, S. Schulze, V. Stuß, in: M. Ali, Y.S. Kwon, C.-H. Lee, J. Kim, Y. Kim (Eds.), Current Approaches in Applied Artificial Intelligence, Springer International Publishing, Cham, 2015, pp. 305–315.
HSBI-PUB | DOI
 
[8]
2015 | Diskussionspapier | FH-PUB-ID: 1751 | OA
Der zufriedene Patient 2.0 - Analyse anonymer Arztbewertungen im Web 2.0
M. Geierhos, S. Schulze, F. Bäumer, V. NRW/Kompetenzzentrum Verbraucherforschung NRW, Der Zufriedene Patient 2.0 - Analyse Anonymer Arztbewertungen Im Web 2.0, vz-nrw (Verbraucherzentrale Nordrhein-Westfalen e. V.), 2015.
HSBI-PUB | DOI | Download (ext.)
 
[7]
2015 | Konferenzbeitrag | FH-PUB-ID: 1780
Find a Physician by Matching Medical Needs Described in your Own Words
F. Bäumer, M. Dollmann, M. Geierhos, in: Procedia Computer Science, Elsevier BV, 2015, pp. 417–424.
HSBI-PUB | DOI
 
[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 1777 HSBI-PUB
 
[5]
2015 | Konferenzbeitrag | FH-PUB-ID: 1783
What Did You Mean? - Facing the Challenges of User-generated Software Requirements
M. Geierhos, S. Schulze, F. Bäumer, in: Proceedings of the International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and and Technology Publications, 2015, pp. 277–283.
HSBI-PUB | DOI
 
[4]
2015 | Buchbeitrag | FH-PUB-ID: 1784
Understanding the Patient 2.0
M. Geierhos, F. Bäumer, S. Schulze, C. Klotz, in: H. Christiansen, I. Stojanovic, G.A. Papadopoulos (Eds.), Modeling and Using Context, Springer International Publishing, Cham, 2015, pp. 159–171.
HSBI-PUB | DOI
 
[3]
2015 | Buchbeitrag | FH-PUB-ID: 1781
A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews
F. Bäumer, M. Geierhos, S. Schulze, in: G. Dregvaite, R. Damasevicius (Eds.), Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015, Proceedings, Springer International Publishing, Cham, 2015, pp. 3–15.
HSBI-PUB | DOI
 
[2]
2014 | Konferenzbeitrag | FH-PUB-ID: 1787 | OA
Linked Open Data System for Scientific Data Sets
F. Bäumer, J. Gim, D.-H. Jeong, M. Geierhos, H. Jung, in: Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014, 2014.
HSBI-PUB | Download (ext.)
 
[1]
2014 | Konferenzbeitrag | FH-PUB-ID: 1786
Comparative study on disambiguating acronyms in the scientific papers using the open knowledge base
D.-H. Jeong, J. Gim, H. Jung, M. Geierhos, F. Bäumer, in: Conference Proceedings of the 9th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2014), 2014.
HSBI-PUB
 

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