Kategorie: ‘Theses’
Personalized course recommender for diverse skills and certifications
This thesis topic would involve researching and developing a recommender system, integrated with Large Language Models (LLMs), that can take into account users’ diverse skills and certifications, and provide personalized course recommendations that align with their career goals and interests. The thesis could explore different machine learning algorithms and data processing techniques to optimize the system’s accuracy and efficiency. It could also involve user testing and evaluation to assess the effectiveness and user satisfaction with the recommender system.
The Implementation of Federated Learning for a Data Space in the Plastic Packaging Industry
Enhancing Chatbot Performance through Process Mining
This thesis aims to develop a framework for analyzing chatbot conversations using process mining techniques. The framework will allow users to discover process models from chatbot event logs, compare them to the bot models, and enhance them based on the analysis results.
Evaluation of Source Inference Attack and Defenses on Federated Learning
Effects of Generative Replay-based methods on Catastrophic Forgetting in DA on healthcare data
From Simulation to Real Settings: Investigating the Testability of Distributed Analytics Experiments
Establishing Trust in P2P Distributed Analytics Infrastructures
Estimation of Individual Privacy Risk in Data Sharing using Predictive Models
Mastering the Game of Contract Bridge: Strategy Optimization via Deep Reinforcement Learning
This thesis aims to explore Deep Reinforcement Learning based methods for strategy optimization in the Contract Bridge game, such as Multi-agent Reinforcement Learning, Value-based Learning, and Policy-based Learning, as well as Knowledge Representation and Reasoning based methods such as Multi-agent Epistemic Situation Calculus