Dr. Dominik Dürrschnabel

Portrait Image

Room 0445A
University of Kassel
De­part­ment of Elec­trical En­gin­eer­ing and Com­puter Sci­ence
Knowledge and Data Engineering Group
Wilhelmshöher Allee 73
34121 Kassel

Tel.: +49 561 804-6298
Fax.: +49 561 804-6259
Email: duerrschnabel@cs.uni-kassel.de

I am a post-doctoral researcher at Knowledge and Data Engineering Group of the University of Kassel in the field of knowledge discovery. My research interests focus on graph drawing, data visualization, formal concept analysis, and machine learning. I am always seeking new opportunities to collaborate with other researchers and expand my knowledge.

Publications

  • Journal Articles
    • Dürrschnabel, D., Hanika, T., & Stumme, G. (2023). Drawing Order Diagrams Through Two-Dimension Extension. J. Graph Algorithms Appl., 27(9), 783–802. https://doi.org/10.7155/JGAA.00645
    • Stumme, G., Dürrschnabel, D., & Hanika, T. (2023). Towards Ordinal Data Science. TGDK, 1(1), 6:1–6:39. https://doi.org/10.4230/TGDK.1.1.6
    • Axenovich, M., & Duerrschnabel, D. (2018). Subsets of vertices of the same size and the same maximum distance. Theory and Applications of Graphs, 5(2), 7. https://doi.org/10.20429/tag.2018.050207
  • Conference Articles
    • Draude, C., Dürrschnabel, D., Hirth, J., Horn, V., Kropf, J., Lamla, J., Stumme, G., & Uhlmann, M. (2024). Conceptual Mapping of Controversies. International Joint Conference on Conceptual Knowledge Structures, Concepts 2024, Cádiz, Spain, September 9th - 13th, 2024, Proceedings (In Print).
    • Dürrschnabel, D., & Priss, U. (2024). Realizability of Rectangular Euler Diagrams. International Joint Conference on Conceptual Knowledge Structures, Concepts 2024, Cádiz, Spain, September 9th - 13th, 2024, Proceedings (In Print).
    • Dürrschnabel, D., & Stumme, G. (2023). Maximal Ordinal Two-Factorizations. In M. Ojeda-Aciego, K. Sauerwald, & R. Jäschke (Eds.), Graph-Based Representation and Reasoning - 28th International Conference on Conceptual Structures, ICCS 2023, Berlin, Germany, September 11-13, 2023, Proceedings (Vol. 14133, pp. 41–55). Springer. https://doi.org/10.1007/978-3-031-40960-8_5
    • Stubbemann, L., Dürrschnabel, D., & Refflinghaus, R. (2021). Neural Networks for Semantic Gaze Analysis in XR Settings. In A. Bulling, A. Huckauf, H. Gellersen, D. Weiskopf, M. Bace, T. Hirzle, F. Alt, T. Pfeiffer, R. Bednarik, K. Krejtz, T. Blascheck, M. Burch, P. Kiefer, M. D. Dodd, & B. Sharif (Eds.), 2021 Symposium on Eye Tracking Research and Applications, ETRA 2020, Virtual Event, Germany, May 25-27, 2021, Full Papers (pp. 5:1–5:11). ACM. https://doi.org/10.1145/3448017.3457380
    • Dürrschnabel, D., Koyda, M., & Stumme, G. (2021). Attribute Selection Using Contranominal Scales. In T. Braun, M. Gehrke, T. Hanika, & N. Hernandez (Eds.), Graph-Based Representation and Reasoning - 26th International Conference on Conceptual Structures, ICCS 2021, Virtual Event, September 20-22, 2021, Proceedings (Vol. 12879, pp. 127–141). Springer. https://doi.org/10.1007/978-3-030-86982-3_10
    • Dürrschnabel, D., & Stumme, G. (2021). Force-Directed Layout of Order Diagrams Using Dimensional Reduction. In A. Braud, A. Buzmakov, T. Hanika, & F. L. Ber (Eds.), Formal Concept Analysis - 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 - July 2, 2021, Proceedings (Vol. 12733, pp. 224–240). Springer. https://doi.org/10.1007/978-3-030-77867-5_14
    • Demel, A., Dürrschnabel, D., Mchedlidze, T., Radermacher, M., & Wulf, L. (2018). A Greedy Heuristic for Crossing-Angle Maximization. In T. Biedl & A. Kerren (Eds.), Graph Drawing and Network Visualization - 26th International Symposium, GD 2018, Barcelona, Spain, September 26-28, 2018, Proceedings (Vol. 11282, pp. 286–299). Springer. https://doi.org/10.1007/978-3-030-04414-5_20
  • Book Chapters
    • Dürrschnabel, D., Hanika, T., & Stubbemann, M. (2022). FCA2VEC: Embedding Techniques for Formal Concept Analysis. In R. Missaoui, L. Kwuida, & T. Abdessalem (Eds.), Complex Data Analytics with Formal Concept Analysis (pp. 47–74). Springer International Publishing. https://doi.org/10.1007/978-3-030-93278-7_3
  • Workshop Articles
    • Dürrschnabel, D., Hanika, T., & Stumme, G. (2019). DimDraw - A Novel Tool for Drawing Concept Lattices. In D. Cristea, F. L. Ber, R. Missaoui, L. Kwuida, & B. Sertkaya (Eds.), Supplementary Proceedings of ICFCA 2019 Conference and Workshops, Frankfurt, Germany, June 25-28, 2019 (Vol. 2378, pp. 60–64). CEUR-WS.org. https://ceur-ws.org/Vol-2378/shortAT6.pdf
  • PhD Thesis
    • Dürrschnabel, D. (2023). Explaining and visualizing structural knowledge in bipartite graphs [PhD thesis, University of Kassel, Germany]. https://doi.org/10.17170/KOBRA-202306048157
  • Preprints
    • Dürrschnabel, D., & Stumme, G. (2023). Greedy Discovery of Ordinal Factors. In CoRR: Vol. abs/2302.11554. https://doi.org/10.48550/ARXIV.2302.11554
    • Dürrschnabel, D., Hanika, T., & Stumme, G. (2022). Discovering Locally Maximal Bipartite Subgraphs. In CoRR: Vol. abs/2211.10446. https://doi.org/10.48550/ARXIV.2211.10446

Talks

  • May 8, 2024: Erklärung und Visualisierung von strukturellem Wissen in bipartiten Graphen. GI Dissertationspreis-Kolloquium 2023, IBFI Schloss Dagstuhl, Germany.
  • May 3, 2024: Order Dimension and Data Analysis. 1st Workshop on Machine Learning under Weakly Structured Information, LMU Munich, Germany.
  • March 21, 2024: A Relative Notion of Order Dimension. Mathematics for Computational Intelligence Systems, Facultad de Ciencias, Cádiz, Spain.
  • December 5, 2023: Ordinal Methods for Knowledge Representation and Capture (OrMeKR). 28th International Conference on Conceptual Structures, Pensacola, Florida, USA.
  • September 12, 2023: Maximal Ordinal Two-Factorizations. International Conference on Conceptual Structures 2023, Berlin, Germany.
  • September 21, 2021: Attribute Selection using Contranominal Scales. International Conference on Conceptual Structures 2021, Online.
  • September 1, 2021: Attribute Selection using Contranominal Scales. Workshop "Knowledge Discovery and Machine Learning" - Lernen. Wissen. Daten. Analysen. - Learning. Knowledge. Data. Analytics. 2021, Online.
  • June 30, 2021: Force-Directed Layout of Order Diagrams using Dimensional Reduction. International Conference on Formal Concept Analysis 2021, Online.
  • June 25, 2019: DimDraw – A novel tool for drawing concept lattices. Workshop "Applications and Tools of Formal Concept Analysis" - International Conference on Formal Concept Analysis 2019, Frankfurt, Germany.

Research Stays

  • Scheduled for March 04 – 22, 2024:
    Group of Prof. Jesús Medina at the Universidad de Cádiz, Spain
    Combining Ordinal Factor Analysis with Context Partitioning
    Founded by “Erasmus+. EU programme for education, training, youth and sport”
  • November 20 – December 01, 2023:
    Group of Prof. Piotr Micek at the Jagiellonian University in Krakow Poland
    in Cooperation with Prof. William T. Trotter
    Researching the Notion of Relative Dimension
    Founded by “Förderung von Auslandssaufenthalten” of the University of Kassel

Reviewing

  • Program Chair
    • International Conference on Formal Concept Analysis 2023 (ICFCA 2023)
  • Program Committee
    • European Conference on Artificial Intelligence 2023 (ECAI 2023)
  • Subreviewer
    • International Semantic Web Conference 2020 (ISWC 2020)
    • International Conference on Conceptual Structures 2020 (ICCS 2020)
    • European Conference on Artificial Intelligence 2020 (ECAI 2020)
    • Russian Conference on Artificial Intelligence 2019 (RCAI 2019)
    • ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2019 (KDD 2019)
    • ACM Conference on Web Science (WebSci'19)

Teaching

Curriculum Vitae

  • Research Positions
    • Research Assistant (since 11/2018)
      Knowledge and Data Engineering Group
      Department of Electrical Engineering and Computer Science
      University of Kassel, Germany
  • Education
    • Dr. rer. nat. (PhD equivalent) (11/2018 – 05/2023)
      Area: Computer Science
      At: University of Kassel, Germany
      Thesis title: Explaining and Visualizing Structural Knowledge in Bipartite Graphs
    • Master of Science (2016 – 2018)
      Major: Mathematics, Minor: Computer Science
      At: KIT - Karlsruhe Institute of Technology, Germany
      Thesis title: Distance Structure of Graphs
    • Bachelor of Science (2012 – 2016)
      Major: Mathematics, Minor: Computer Science
      At: KIT - Karlsruhe Institute of Technology, Germany
      Thesis title: Homometric Sets in Graphs