Theses Supervision | Prof. Dr. Heike Trautmann | Department of Information Systems

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Prof. Dr. Heike Trautmann
Professor

Data Science: Statistics and Optimization

Leonardo Campus 3
48149 Münster

trautmann@uni-paderborn.de

Consultation hours:
on appointment

ShortURL: ERC.IS ShortURL

ERC.IS ShortURL

erc.is/p/trautmann

Supervised Theses
- Michael Thomas Vogt: Deep Learning as a Feature-Free Approach for Automated Algorithm Selection on the 0-1 Knapsack Problem (Bachelor's thesis IS, 2023)
- Datenanalyse im Profifußball: Leistungsanalyse, Wirtschaftliche Auswirkungen und Technologie (Bachelor's thesis IS, 2023)
- Optimizing the Ramp Up Process of Lithium-ion Battery Electrode Production using Machine Learning (Master's thesis IS, 2023)
- Using Language Models for Benchmarking Manipulation Detection in Social Media (Master's thesis IS, 2022)
- Jonathan Heins: Feature Learning for the TSP - Investigating the Capabilities of Deep Learning for Automated Algorithm Selection (Master's thesis IS, 2022)
- Exploring the Gap: Deep Learning for Explorative Visual and Textual Sentiment Analysis (Master's thesis IS, 2021)
- Procurement Control through Extracting and Comparing Invoice Positions - Design and Evaluation of a Machine Learning Approach (Master's thesis IS, 2021)
- Development of a Web Interface for Natural Language Preprocessing Methods (Bachelor's thesis IS, 2020)
- Explainable AI through rule-based interactive conversation (Master's thesis IS, 2020)