Timing: 01.04.2023-31.03.2026

About the Project: Developments of a generic approach to develop robust NN-based classifiers, which are based on insufficient training-data. Development of a generic and statistically well-defined approach to estimate systematic uncertainties due to epistemic network uncertainties. Transform CMS-Open Data from Root to Panda-Data Frames. Transfer developed methods between different fields of science and to industry.

Principal Investigartors: Prof. Dr. Lucie Flek, Prof. Dr. Alexander Schmidt, Prof. Dr. Matthias Schott, Prof. Dr. Christopher Wiebusch

Team:  Dr. Dirk Düllmann, Dr. Lars Perchalla, Dr. Akbar Karimi, Dr. Wei-Fan