Druckansicht der Internetadresse:

Faculty of Mathematics, Physics & Computer Science

Chair for Databases and Information Systems – Prof. Dr.-Ing. Stefan Jablonski

Print page

Team > Martin Käppel, M.Sc.

Overview
Overview
kaeppel Martin Käppel, M.Sc.
kaeppel

Faculty of Mathematics, Physics and Computer Science
Institute for Computer Science


Research Interests

  • Data Science Technologies
  • Process Management
kaeppel

Faculty of Mathematics, Physics and Computer Science
Institute for Computer Science


Publications

2021

Käppel, Martin; Schönig, Stefan; Jablonski, Stefan
Leveraging Small Sample Learning for Business Process Management
in Information and Software Technology volume 132 (2021)
doi:10.1016/j.infsof.2020.106472 ...

Käppel, Martin; Ackermann, Lars; Schönig, Stefan; Jablonski, Stefan
Language-independent look-ahead for checking multi-perspective declarative process models
in Software and Systems Modeling (2021)
doi:10.1007/s10270-020-00857-8 ...

2019

Kumar, Chettan; Käppel, Martin; Schützenmeier, Nicolai; Eisenhuth, Philipp; Jablonski, Stefan
A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Param ...
Proceedings of the 8th International Conference on Data Science, Technology and Applications. Volume 1. DATA
Prag , 2019. - page 408-415
doi:10.5220/0008117404080415 ...

Schützenmeier, Nicolai; Käppel, Martin; Petter, Sebastian; Schönig, Stefan; Jablonski, Stefan
Detection of Declarative Process Constraints in LTL Formulas
in Enterprise and Organizational Modeling and Simulation (2019) . - page 131-145
doi:10.1007/978-3-030-35646-0_10 ...

Käppel, Martin; Schützenmeier, Nicolai; Schönig, Stefan; Ackermann, Lars; Jablonski, Stefan
Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes
Enterprise, Business-Process and Information Systems Modeling : 20th International Conference, BPMDS 2019, 24th International Conference, EMMSAD 2019, Held at CAiSE 2019, Rome, Italy, June 3-4, 2019, Proceedings
Cham : Springer, 2019. - page 53-68 . - (Lecture Notes in Business Information Processing; 352)
doi:10.1007/978-3-030-20618-5_4 ...

kaeppel

Faculty of Mathematics, Physics and Computer Science
Institute for Computer Science


Martin Käppel, M.Sc.
Research Assistant

Phone: +49 (0) 921 55 76 31
E-mail: martin.kaeppel [@] uni-bayreuth.de

Webmaster: Kerstin Haseloff

Facebook Twitter Youtube-Kanal Instagram Blog UBT-A Contact