Teaching
- Datenbanksysteme [WiSe19/20, WiSe20/21, WiSe21/22, WiSe22/23, WiSe23/24]
- Einführung in die Informatik: Systeme und Anwendungen [SoSe20, SoSe21, SoSe22, SoSe23]
- Bachelorseminar: Information-theoretic Data Mining [WiSe19/20, SoSe20, SoSe21]
- Bachelorseminar: Data Mining [WiSe21/22, SoSe22, WiSe22/23, SoSe23, WiSe23/24]
- Bachelorseminar: Machine Learning with Limited Labels [SoSe24]
- Masterpraktikum: Deep Clustering [SoSe24]
- Oberseminar (Prof. Böhm) [WiSe19/20, SoSe20, WiSe20/21, SoSe21, WiSe21/22, SoSe22, WiSe22/23, SoSe23, WiSe23/24, SoSe24]
Supervised Theses
Bachelor
- Numerical Algorithms for Symmetric Eigenvalue Decomposition in Subspace k-means Clustering
- Density-Based Clustering: A Robust Multi-Density Alternative to DBSCAN
- Improving the FOSSCLU Algorithm:Optimized Parameter-search and Clustering in Non-redundant Subspaces
- Ein nicht-parametrischer Ansatz zur Erkennung beliebiger Clusterstrukturen
- Automated tumor detection based on routine blood tests using Artificial Neural Networks
- Improving Non-Redundant Clustering Approaches by K-means Extensions
- Acquiring Meaningful Data Representations by Combining Autoencoders and Hartigan's Dip Test
- Parameterfreies nicht-redundantes Clustering mithilfe des Dip-Tests
- Self-Supervised Deep Clustering for Tabular Data
- Design and Implementation of a Database with Web Interface for Side Effects of Immunotherapies
- Evaluation of Density Based Mode Seeking
- MDL-based Parameter Selection for Subspace and Non-Redundant Clustering
- Empirical Assessment of Insurance Data Generation through GANs
- Finding Consensus among Non-Redundant Clustering Algorithms
Master
- Informationsextraktion aus Einverständniserklärungen von klinischen Studien mittels Natural Language Processing und Maschinellem Lernen
- Deep Learning-based Forensic Age Estimation from CT Images
- Eine Prognose der COVID-19-Fallzahlen in Deutschland durch Neuronale Netze basierend auf Veränderungen der Mobilität
- Minimal Description Length Principle for Parameter-free Motif Detection in Time Series Data
- k-SubMix: Clustering on mixed-type data in optimal Subspaces
- Subspace Clustering nicht-konvexer Strukturen durch Micro-Cluster Graphoptimierung
- A Survey of Unimodality Tests and their Potential in Clustering Environments
- Uncertainty Quantification in Deep Learning-Based Forensic Age Estimation
- Deep Density-Based Clustering using Contrastive Learning
- Building Decision Trees using Hartigans Dip-Test of Unimodality
- A KNN-Based Deep Density Encoder for Clustering Analysis