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

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Prof. Dr. Fabian Gieseke
Professor

Data Science: Machine Learning and Data Engineering

Leonardo-Campus 3
48149 Münster

Room: 233

Phone: +49 251 83-38151
fabian.gieseke@wi.uni-muenster.de

ShortURL: ERC.IS ShortURL

ERC.IS ShortURL

erc.is/p/fabian.gieseke

Supervised Theses
- 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)