Open Student Theses
- Explaining Time Series(For Master's Thesis)
- Adaptive Scope Alignment and Contextual Grounding for LLM-Generated Ontology Conceptualization(For Master's Thesis)
- Test time training under evolutionary concept drift using explanation distributions(For Master's Thesis)
- Knowledge Graph Foundation Models for Clinical Outcome Prediction(For Master's Thesis)
Ongoing Bachelor's Theses
Ongoing Master's Theses
- Leveraging LLMs for a Semantic Checker: Automating the Detection of Semantic Web Accessibility Violations
- BoxEL-based Query Relaxation in RDF Databases
- Discovering Image Distribution Shifts Using Explanation Distributions
- OWL 2 RL Benchmark for Assessing LLM Symbolic Inference
- Geometric Structural Knowledge Graph Foundation Model
Completed Theses
- Adversarial Attacks for Time-series Models
- Hybrid Finite Gain Stable Network to Identify Ship Motion in Open Water
- Ensembles of Explanation Distributions for Discovering Distribution Shifts
- Physics-Aware Scientific Foundation Models
- Bayesian Symbolic Regression in Structured Latent Spaces
- Biomedical Entity Linking Based on BLINK
- Virtual RDF stores for property graphs
- Mixed Resolution Schemes for Efficient and Effective Knowledge Graph Embeddings
- Byte pair encodings for knowledge graph embeddings
- Paving the Way for Scientific Foundation Models: Constraint-Aware Learning for Enhancing Generalization in Data-Scarce Multi-Physics Systems
- Exploring the dynamics of head pointing
- eSPARQL : Design and Implementation of a Query Language for Epistemic Queries on Knowledge Graphs
- KGGLDM: Knowledge Graph Guided Diffusion Models for Advanced Learning
- Generating Random Knowledge Graphs from Rules
- Transferability to spectrogram-based anomaly detection: Enhancing audio anomaly detection through vision derived methods
- Ensemble Approaches for Link Prediction
- Schema-based re-evaluation of Knowledge Graph Embeddings
- An extensive comparative study of multi-view clustering
- Entwicklung eines neuronalen Netzwerks zur Optimierung der Datenübertragungsqualität von Kleinsatellitenplattformen
- Explanation-based Learning with Feedforward Neural Networks
- Extracting and Segmenting High-Variance References from PDF Documents with BERT
- Friction Potential Estimation at Low Levels of Friction Consumption using 1D Convolutional Neural Networks
- Gaze and voice driven hands-free gaming
- How users attend to online comments: an eye-tracking approach
- Icon Semantic Identification
- Knowledge Graph Embedding Space Identification with Hyperparameter Optimization
- Learning Quantitative Argumentation Frameworks Using Sparse Neural Networks and Swarm Intelligence Algorithms
- Multistep Prediction of Vehicle States using Transformers
- Named Entity Recognition (NER) for the Biomedical Domain
- Predicting Eye Gaze Location on Websites
- Quantitative Comparisons of Real-time Emotion Recognitions
- Relation Linking for Questions using Wikidata
- Outlier Region Detection in Time Series
- Semantic Reasoning over Scene Graphs for Probabilistic Prediction of Traffic Agents using Graph Neural Networks
- Training Safe LSTMs with Input-to-State Stability Guarantees
- Predicting patient status parameters from medical reports