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Dekobild im Seitenkopf ISMLL
 
People: Dr. Maximilian Stubbemann
Office hour:
C139b Spl, upon request
Phone, Fax, Email:
Phone: +49 5121 / 883-40390
Fax: n.a.
e-mail:
Postal address:
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Visitor address:
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany

Publications:

  • Maximilian Stubbemann, Tobias Hille, Tom Hanika (2023):
    Selecting Features by their Resilience to the Curse of Dimensionality, in arXiv:2304.02455. PDF
  • Maximilian Stubbemann, Gerd Stumme (2023):
    The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks, in Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD. PDF
  • Maximilian Stubbemann, Tom Hanika, Friedirch Martin Schneider (2023):
    Intrinsic Dimension for Large-Scale Geometric Learning, in Transactions on Machine Learning Research. PDF
  • Maximilian Stubbemann, Gerd Stumme (2022):
    LG4AV: Combining Language Models and Graph Neural Networks for Author Verification, in Advances in Intelligent Data Analysis XX. PDF
  • Dominik Duerrschnabel, Maximilian Stubbemann, Tom Hanika (2022):
    FCA2VEC: Embedding Techniques for Formal Concept Analysis, in Complex Data Analytics with Formal Concept Analysis. PDF
  • Tobias Koopmann, Maximilian Stubbemann, Matthias Kapa, Michael Paris, Guido Buenstorf, Tom Hanika, Andreas Hotho, Robert Jaeschke, Gerd Stumme (2021):
    Proximity Dimensions and the Emergence of Collaboration: A HypTrails Study on German AI Research, in Scientometrics. PDF
  • Maximilian Stubbemann, Tom Hanika, Gerd Stumme (2022):
    Orometric Methods in Bounded Metric Data, in Advances in Intelligent Data Analysis XVIII. PDF

Talks:

  • September 2023: The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks, ECML/PKDD 2023
  • September 2023: Intrinsic Dimensionality and Graph Learning, ISI Foundation Turin
  • January 2023: Topological Data Analysis and Neural Networks, Dagstuhl Workshop on Concept Lattice Based Topological Data Analysis and Reasoning
  • April 2022: LG4AV: Combining Language Models and Graph Neural Networks for Author Verification, Symposium on Intelligent Data Analysis 2022
  • July 2021: Dimensionen von Nähe und ihr Einfluss auf die Entstehung von Kollaboration, ITeG Brown Bag Seminar
  • April 2020: Orometric Methods in Bounded Metric Data, Symposium on Intelligent Data Analysis 2020

Research Communication:

  • Podcast of the University of Kassel: How does ChatGpt work? (In German)
  • Interview for the local magazine Mein Kassel (In German):
    Current state and future of language models and their implications four our lifes.
  • External Lecturer at the Departement of Empirical Research on Schools and Teaching of the University of Kassel:
    ChatGPT et al. : Functionality, History and Consequences for Teaching (in German)

Reviewing:

  • Subreviewer: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 19-23 2022
  • Subreviewer: 20th International Semantic Web Conference, October 24-28 2021, Virtual Conference
  • Subreviewer: 18th Extended Semantic Web Conference, June 6-10 2021, Hersonissos, Greece
  • Subreviewer: 19th International Semantic Web Conference, November 1-6 2020, Virtual Conference
  • Subreviewer: 25th International Conference on Conceptual Structures, September 18-21 2020, Bolzano, Italy
  • Subreviewer: 24th European Conference on Artificial Intelligence, June 8-12 2020, Santiago de Compostela, Spain
  • Subreviewer: 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 4 – 8, 2019, Anchorage, Alaska – USA
  • Subreviewer: 15th International Conference on Formal Concept Analysis, June 25-28 2019 – Frankfurt, Germany