Felix Kuhr, M.Sc.

- Wissenschaftlicher Mitarbeiter -

 

Institut für Informationssysteme
Universität zu Lübeck
Ratzeburger Allee 160 ( Gebäude 64 - 2.OG )
D-23562 Lübeck

Telefon: +49 451 3101 5709
Fax : +49 451 3101 5704
email : Öffnet ein Fenster zum Versenden einer E-Mail E-Mail an Felix Kuhr
 

Sprechzeiten im SS 21nach Absprache (WebEx)

Curriculum Vitae

  • Seit Oktober 2016 - wissenschaftlicher Mitarbeiter am Institut für Informationssysteme der Universität zu Lübeck
  • April 2016 - M.Sc. in Computational Informatics, Technische Universität Hamburg-Harburg
  • April 2015 bis April 2016 - Anfertigung der Projekt und Masterarbeit am Institut für Informationssysteme der Universität zu Lübeck

Forschungsinteressen

  • Machine Learning
  • Data Mining and Text Mining Techniques
  • Topic Modeling Techniques
  • Semantic Computing
  • Subjective Content Descriptions for Documents

Publikationen

2021

  • Felix Kuhr, Matthis Lichtenberger, Tanya Braun, Ralf Möller: Enhancing Relational Topic Models with Named Entity Induced Links
    in: Proceedings of the 15th IEEE International Conference on Semantic Computing (ICSC-21), 2021
    DOI BibTeX
  • Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Context-specific Adaptation of Subjective Content Descriptions
    in: Proceedings of the 15th IEEE International Conference on Semantic Computing (ICSC-21), 2021
    DOI BibTeX
  • Magnus Bender, Tanya Braun, Marcel Gehrke, Felix Kuhr, Ralf Möller, Simon Schiff: Identifying Subjective Content Descriptions among Text
    in: Proceedings of the 15th IEEE International Conference on Semantic Computing (ICSC-21), 2021
    DOI BibTeX
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2020

  • Simon Schiff, Felix Kuhr, Sylvia Melzer, Ralf Möller: AI-based Companion Services for Humanities
    in: , AI methods for digital heritage, Workshop at 43rd German Conference on Artificial Intelligence, 2020
    BibTeX
  • Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Augmenting and Automating Corpus Enrichment
    in: Int. J. Semantic Computing, 2020, Vol.14, (2), p.173-197
    DOI BibTeX
  • Felix Kuhr, Özgür L. Özçep: Theory Interpretations for Topic Models
    in: Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference (FLAIRS-20), 2020
    DOI BibTeX
  • Felix Kuhr, Tanya Braun, Ralf Möller: Augmenting and Automating Corpus Enrichment
    in: Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20), 2020, Best Student Paper Award
    DOI BibTeX
  • Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Maintaining Topic Models for Growing Corpora
    in: Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20), 2020
    DOI BibTeX
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2019

  • Felix Kuhr, Tanya Braun, Magnus Bender, Ralf Möller: To Extend or not to Extend? Context-specific Corpus Enrichment
    in: Proceedings of AI 2019: Advances in Artificial Intelligence, 2019, Springer, p.357-368
    DOI BibTeX
  • Özgür L. Özçep, Felix Kuhr, Ralf Möller: Influence-Based Independence
    in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference (FLAIRS-19), 2019, AAAI Press, p.26-31
    Website BibTeX
  • Felix Kuhr, Bjarne Witten, Ralf Möller: Corpus-Driven Annotation Enrichment
    in: Proceedings of the 13th IEEE International Conference on Semantic Computing (ICSC-19), 2019, Jan, p.138-141
    DOI BibTeX
  • Felix Kuhr, Ralf Möller: Constructing and Maintaining Corpus-Driven Annotations
    in: Proceedings of the 13th IEEE International Conference on Semantic Computing (ICSC-19), 2019, Jan, p.462-467
    DOI BibTeX
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2017

  • Tanya Braun, Felix Kuhr, Ralf Möller: Unsupervised Text Annotations
    in: Proceedings of the 6th Workshop on Dynamics of Knowledge and Belief (DKB-2017) and the 5th Workshop KI & Kognition (KIK-2017) co-located with 40th German Conference on Artificial Intelligence (KI 2017), 2017, 25.-29.09., CEUR-WS.org, CEUR Workshop Proceedings, Vol.1928, p.23-30
    Website BibTeX
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2016

  • Mona Lange, Felix Kuhr, Ralf Möller: Using a Deep Understanding of Network Activities for Workflow Mining
    in: KI 2016: Advances in Artificial Intelligence - 39th Annual German Conference on AI, Klagenfurt, Austria, September 26-30, 2016, Springer, Lecture Notes in Computer Science, Vol.9904, p.177-184
    Website BibTeX
  • Mona Lange, Felix Kuhr, Ralf Möller: Using a Deep Understanding of Network Activities for Network Vulnerability Assessment
    in: Proceedings of the 1st International Workshop on AI for Privacy and Security, PrAISe@ECAI 2016, The Hague, Netherlands,29.08.-02.09., 2016, ACM, p.6:1-6:8
    Website BibTeX
  • Mona Lange, Felix Kuhr, Ralf Möller: Using a Deep Understanding of Network Activities for Network Vulnerability Assessment
    in: ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016), 2016, Gal A. Kaminka, Fox, Bouquet, Hüllermeier, Dignum, Dignum, Frank van Harmelen (Ed.), IOS Press, Frontiers in Artificial Intelligence and Applications, Vol.285, p.1583-1585
    Website BibTeX
  • Mona Lange, Felix Kuhr, Ralf Moeller: Using a Deeper Understanding of Network Activities for Security Event Management
    in: International Journal of Network Security & Its Applications (IJNSA), 2016
    BibTeX
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2015

  • Mona Lange, Ralf Möller, Gregor Lang, Felix Kuhr: Event Prioritization and Correlation based on Pattern Mining Techniques
    in: 14th International Conference on Machine Learning and Applications Workshops, ICMLA 2015, Miami, Florida, USA, December 9-11, 2015. Volume 2: Special Sessions and Workshop, 2015
    BibTeX
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