Contact
Universitätsstraße 38
70569 Stuttgart
Germany
Room: 2.404
Office Hours
On appointment
Subject
Working Area: Machine Learning, Ensemble Learning, Classification
Citation Metrics
- Google Scholar: Profile
- ORCID: 0000-0003-4808-1922
- Research Gate: Profile
Publications
2023
Julius Voggesberger, Peter Reimann und Bernhard Mitschang. “Towards the Automatic Creation of Optimized Classifier Ensembles”. In: Proc. of the 25th Int. Conference on Enterprise Information Systems (ICEIS) – Volume 1. 2023, S. 614–621.
Michael Behringer, Dennis Treder-Tschechlov, Julius Voggesberger, Pascal Hirmer und Bernhard Mitschang u. a. “SDRank: A Deep Learning Approach for Similarity Ranking of Data Sources to Support User-Centric Data Analysis”. In: Proc. of the 25th Int. Conference on Enterprise Information Systems (ICEIS) – Volume 1. 2023, S. 419–428.
Thesis
J. Voggesberger, "AutoML für Ensembles: Erhöhung der Klassifikationsperformanz durch Optimierung der Modelldiversität und der Entscheidungsfusion"
Masterthesis. 2022.
J. Voggesberger, " Evaluation von Zwischenergebnissen in Entscheidungsbäumen"
Bachelorthesis. 2019.
Summer Term 2023
- Advanced Seminar "Data Management for End-to-End Machine Learning"
Supervision
Winter Term 2022/2023
- Seminar "Entwicklung von Data-Science-Anwendungen"
Supervision
Student Projects in Progress
- Master Thesis:
Meta-Learning for Classifier Ensemble Optimization - Master Thesis:
Development of a method for data-driven prediction of the outputs of a cold forging simulation