Completed Theses
An AI-based skill assessment tool
An Ontology-Guided GraphRAG Approach for GDPR Documents
On the Evaluation of Retrieval Augmented Generation-based Cypher Queries
The goal of this thesis is to evaluate the applicability of Virtual Graphs in a Distributed Analytics environment.
Mixed reality agents are simulated humans who are displayed in a mixed reality environment, e.g., in augmented reality or virtual reality. They provide the opportunity to support teaching activities with automation. Possible use cases include general presentations in one place, e.g., of lecture content and station-based routes as seen in museums or with tourist guides. ...
LLM-based Tool for Integrating Ontologies and Knowledge Graphs Into Researchers' RDM Processes
Privacy-Preserving Data Aggregation for Smart Meters using Temporary Ring-Based Communication Structures
An Evaluation of Similarity-Preserving Bloom Encodings in URL-based Phishing Detection
LLM-based Tool for FAIR Data Assessment
A Condensation-based Anonymization Approach for Intrusion Detection
Local Differential Privacy Preserving Intrusion Detection Systems
Large language models (LLMs) have proven the ability to assist diverse users in conducting a variety of individual tasks via intuitive and natural conversations. This thesis discusses a utilization of LLMs as a tool for informed decision-making in energy investments and operations. One major goal is to transform the way the consumers engage with home ...
Mixed reality agents are simulated humans which can be viewed and interacted with on mixed reality technologies. For conveying content in educational settings, mixed reality agents have a series of advantages. They are part of a mixture of virtual elements with the real world, which provides opportunities where the agent can refer to points and ...
This thesis aims to explore the realm of Natural Language Processing (NLP) in the context of automated grading systems, focusing specifically on identifying and analyzing frequent learner mistakes. With the increasing integration of technology in education, automated grading systems have gained prominence, but they often lack nuanced understanding and feedback provision. This research endeavors to ...
Large language models (LLMs) have proven the ability to assist diverse users in conducting a variety of individual tasks via intuitive and natural conversations. This thesis discusses a utilization of LLMs to perform (semi-)automated data processing and analyses on time series data. One major goal is to reduce expertise-related dependencies, allowing more people to manipulate ...
This bachelor thesis aims to delve into the critical intersection of trust, transparency, and bias mitigation in machine learning (ML) systems through the lens of explainable data. The proliferation of ML algorithms across various domains has underscored the importance of understanding how these systems make decisions, especially when they impact individuals or societal outcomes.
This thesis aims at developing a pipeline for automatic translation of generic latex expression into domain specific, processable, languages.
