Michael Siebers

Research Assistant

Diploma, Psychology
Bachelor of Science, Applied Computer Science

Office: WE5/05.046
Office hours: by appointment

Phone: +49-951-863 2863
Email: michael.siebers(at)uni-bamberg.de
orcid.org/0000-0003-1891-3572

Michael Siebers holds a Diplom degree in Psychology and a Bachelor degree in Applied Computer Science from Otto-Friedrich-University of Bamberg. In October 2010, he joined the Cognitive Systems group as teaching and research assistant. Since 2016 he is employed as research assistant in the Dare2Del project within DFG priority program SPP1921.

Full CV

Main Research Interests

  • Inductive Logic Programming
  • Human Interpretable Machine Learning
  • Learning from Structured Data

Selected Publications

  • Siebers, M.; Schmid, U. (under review). Please Delete That! Why Should I?. KI - Künstliche Intelligenz
  • Siebers, M.; Schmid, U. (2018). Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol. In: Proceedings of ILP 2018, 141–156, doi: 10.1007/978-3-319-99960-9_9
  • Siebers, M.; Schmid, U.; Seuß, D.; Kunz, M.; Lautenbacher, S. (2016). Characterizing Facial Expressions By Grammars of Action Unit Sequences – A First Investigation Using ABL. Information Sciences 329, 866–875, doi: 10.1016/j.ins.2015.10.007
  • Hernández-Orallo, J.; Martínez-Plumed, F.; Schmid, U.; Siebers, M.; Dowe, D. (2016). Computer Models Solving Intelligence Test Problems: Progress and Implications. Artificial Intelligence 230, 74–107, doi: 10.1016/j.artint.2015.09.011
  • Siebers, M.; Schmid, U. (2012). Semi-analytic Natural Number Series Induction. In: KI 2012: Advances in Artificial Intelligence, 249–252, doi: 10.1007/978-3-642-33347-7_25

Publication Lists

All Publications

Selected Activities

  • Co-Organizer of the 11th Biannual Conference of the German Cognitive Science Society
  • Member of the Conflict Committee of the University of Bamberg
  • Member of University of Bamberg's Convention of non-professoral academic staff