This image shows Julius Voggesberger

Julius Voggesberger

M.Sc.

Researcher
IPVS
Applications of Parallel and Distributed Systems

Contact

Universitätsstraße 38
70569 Stuttgart
Germany
Room: 2.404

Office Hours

On appointment

Subject

Working Area: Machine Learning, Ensemble Learning, Classification

Citation Metrics

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
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