Theses Supervision | Prof. Dr. Fabian Gieseke | Department of Information Systems

Supervised Theses
- Interactive Web Application for Training Data Generation in Satellite Imagery using Segment Anything Model (Bachelor's thesis IS, 2023)
- You Only Count Trees: Individual Tree Detection for Satellite Images of Densely Growing Trees (Master's thesis IS, 2023)
- Evaluation of Image Feature Extraction Methods for Nearest Neighbor Search on Satellite Imagery (Master's thesis IS, 2023)
- Ziyi Wang: Machine Learning for Cardinality Estimation in Relational Databases (Master's thesis IS, 2023)
- Binh An Patrick Nguyen: Data Marketplaces for Smart Grids (Master's thesis IS, 2023)
- Lukas Heidemann: Development and Evaluation of E-Grocery-Focused Churn Prediction Systems (Master's thesis IS, 2023)
- Max Lütkemeyer: Interactive data visualization and exploration with self-organizing maps (Bachelor's thesis IS, 2023)
- Semi-Supervised Machine Learning for Query By Example on Relational Databases (Master's thesis IS, 2022)
- Collecting personal learner information in digital education: From tedious questionnaire to entertaining chatbot experience (Master's thesis IS, 2022)
- Web tracking and its application for Learning Analytics: A case study with reveal.js (Master's thesis IS, 2022)
- Jan Pauls: Generating High-Resolution Height Maps Using Deep Neural Networks (Master's thesis IS, 2022)
- Linus Stach: Application of Transferable Adversarial Attacks on Convolutional Neuronal Networks: An Evaluation of Existing Attack and Defense Mechanisms (Bachelor's thesis IS, 2022)
- Detection and Segmentation of Tree Instances on a Rwandan Satellite Dataset (Bachelor's thesis IS, 2022)
- Customer Behavior Predictions for Online Travel Agencies: A Practical Implementation (Master's thesis IS, 2022)
- Data provenance for a semantically-structured representation of license information for open educational resources (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)
- Deep Learning Semantic Segmentation of Tree Stock in South Africa Using Satellite Images (Bachelor's thesis IS, 2022)
- Experimental Improvement of Streaming Quality in a Cloud-Based Geographical Information System (Bachelor's thesis IS, 2022)
- Machine Learning Under Resource Limitations (Bachelor's thesis IS, 2021)
- Efficient Convolutional Neural Network Inference on Microcontrollers (Bachelor's thesis IS, 2021)
- Reverse image search using deep discrete feature extraction and locality-sensitive hashing (Bachelor's thesis IS, 2021)
- 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)
- Semantic Segmentation of Satellite Images Using Point Supervision (Master's thesis IS, 2021)
- Investigating the Practicability of Deep Learning based Super- and Upsampling Approaches for Satellite Data (Bachelor's thesis IS, 2021)

Supervised Theses