Michael Siebers

Research Assistant (2010–2019)

Diploma, Psychology
Bachelor of Science, Applied Computer Science

Email: michael.siebers(at)uni-bamberg.de

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. From 10/2016 to 09/2019 he was a 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. (2019). Please Delete That! Why Should I?. KI - Künstliche Intelligenz, doi: 10.1007/s13218-018-0565-5
  • 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 (04/2018–09/2019)
  • Member of University of Bamberg's Convention of non-professoral academic staff (04/2018–09/2019)
  • Local chair of 43rd German Conference on Artificial Intelligence.