Johannes Rabold

Teaching Assistant

M. Sc.

Office: WE5/05.045
Office hours: by appointment

Phone: +49-951-863 2865
Email: johannes.rabold(at)uni-bamberg.de

since

10/2017

Research and Teaching Assistant in the Cognitive Systems Group at Otto-Friedrich-Universität Bamberg, Germany

04/2017-

03/2019

Applied Computer Science Study at the Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany (Master of Science)

10/2012-

03/2017

Applied Computer Science Study at the Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany (Bachelor of Science)

 

Main Research Interests

  • Explainable AI
  • Deep Learning
  • Inductive Logic Programming
  • Rabold, J., Deininger, H., Siebers, M., & Schmid, U. (2019). Enriching Visual with Verbal Explanations for Relational Concepts – Combining LIME with Aleph. AIMLAI-XKDD (ECML PKDD Workshop).
  • Finzel B., Rabold J., Schmid U. (2019) Explaining Relational Concepts: When Visualisation and Visual Interpretation of a Deep Neural Network's Decision are not enough (Abstract). Europäische Konferenz zur Datenanalyse (ECDA, 18.-20. März 2019, Bayreuth), Special Session on Interpretable Machine Learning.
  • Rabold, J., Siebers, M., & Schmid, U. (2018, September). Explaining black-box classifiers with ILP – empowering LIME with Aleph to approximate non-linear decisions with relational rules. In International Conference on Inductive Logic Programming (pp. 105-117). Springer, Cham.

Selected Activities

  • Elected deputy of the non-professorial teaching staff of the Faculty of Intelligent Systems and Applied Computer Sciences
  • Elected member of the student's association of the Faculty of Intelligent Systems and Applied Computer Sciences (during study)

Given Workshops

  • Workshop 'Machine Learning and Data Science - Hands-On with KNIME' during the 'Woche der Forschung'
  • TAO pupil workshop 'Code your own AI'

Participation in Seminars

  • Invited participant at the Dagstuhl Seminar on Approaches and Applications of Inductive Programming