Theses Supervision | Dr. Moritz Vinzent Seiler | Department of Information Systems

Dr. Moritz Vinzent Seiler
Former Research Assistant

Research Group Computational Social Science and Systems Analysis

Leonardo Campus 3
48149 Münster

Available Thesis Topics
- Automated Algorithm Configuration of Sparse Neural Networks (Relevance: Master)
Supervised Theses
- Extraction of Intrinsic Features from 3SAT Problems with Self-Supervised Learning and Transformers for Instance-Based Selection of SAT Solvers (Bachelor's thesis IS, 2024)
- Robust Detection of LLM-generated Text through Supervised Contrastive Learning (Master's thesis IS, 2024)
- You Only Count Trees: Individual Tree Detection for Satellite Images of Densely Growing Trees (Master's thesis IS, 2023)
- 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)
- Linus Stach: Application of Transferable Adversarial Attacks on Convolutional Neuronal Networks: An Evaluation of Existing Attack and Defense Mechanisms (Bachelor's thesis IS, 2022)
- Erik Zimmermann: Development of a gradient-free adversarial attack on convolutional neural networks to evaluate existing defense strategies. (Bachelor's thesis IS, 2022)
- Thomas Ackermann: Investigating Deep Learning-based Strategies to Cope with Label Noise in Satellite Data Using the Example of African Non-Forest Trees (Master's thesis IS, 2021)
- Investigating the Practicability of Deep Learning based Super- and Upsampling Approaches for Satellite Data (Bachelor's thesis IS, 2021)
- Deep Clustering of Customer Reviews (Bachelor's thesis Economics, 2020)
- Tobias Mai: Analyzing Alternative Approaches for the State-of-the-Art Dimensionality Reduction Technique t-SNE (Master's thesis IS, 2019)
- Automated Data-Agnostic Global Explanations of Machine Learning Models by Means of AutoAnchors (Master's thesis IS, 2019)

Available Thesis Topics

Supervised Theses