Kategorie: ‘Theses’
Enhancing Chatbot Performance through Process Mining
March 6th, 2023 | by Alexander Neumann
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.
The impact of privacy-enhancing technologies on the quality of services on power grid systems
February 6th, 2023 | by Mehdi Akbari G.
Evaluation of Source Inference Attack and Defenses on Federated Learning
February 3rd, 2023 | by Mehdi Akbari G.
Effects of Generative Replay-based methods on Catastrophic Forgetting in DA on healthcare data
January 30th, 2023 | by Sascha Welten
From Simulation to Real Settings: Investigating the Testability of Distributed Analytics Experiments
January 30th, 2023 | by Sascha Welten
Establishing Trust in P2P Distributed Analytics Infrastructures
January 30th, 2023 | by Sascha Welten
Estimation of Individual Privacy Risk in Data Sharing using Predictive Models
January 23rd, 2023 | by Mehdi Akbari G.
Mastering the Game of Contract Bridge: Strategy Optimization via Deep Reinforcement Learning
January 15th, 2023 | by Yongli Mou
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
Improved Bottom-up Deep Learning Approach for Neuronal Cell Instance Segmentation
December 25th, 2022 | by Yongli Mou