Topics for Master Theses at the Chair for Artificial Intelligence
Smart City / Smart Mobility
Travel Time Prediction Using Machine Learning and Simulation Data
Learning Optimal Pricing Policies for Parking Garages
Extending the Mannheim Mobility Model with Individual Bike Traffic
AI for Business Process Management
Applications of deep neural networks in Online Conformance Checking
Accurate Business Process Simulation (BPS) models based on deep learning
How to tackle concept drift in Predictive Process Monitoring (PPM)
Explainable and Fair Machine Learning
Extracting Causal Models from Module Handbooks for Explainable Student Success Prediction
Investigating Different Techniques to Improve Fairness for Tabular Data
Data-induced Bias in Social Simulations
Learing Causal Models from Tabular Data
Human Activity and Goal Recognition
Reinforcement Learning for Goal Recognition
Investigating the Difficulty of Goal Recognition Problems
Enhancing Audio-Based Activity Recognition through Autoencoder Encoded Representations
Activity Recognition from Audio Data in a Kitchen Scenario
Speaker Diarization and Identification in a Meeting Scenario
Machine Learning for Supply Chain Optimization
Integrated vs. separated optimization: theory and practice
Leveraging deep learning to build a versatile end-to-end inventory management model
Reinforcement learning for the vehicle routing problem
Metaheuristics in SCM: Overview and benchmark study
Finetuning parametrized inventory management systems
Other
Creating eLearning Recommender Systems using NLP
Hyperparameter Optimization for Symbolic Knowledge Graph Completion
Applying Symbolic Knowledge Graph Completion to Inductive Link Prediction
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