Collin Leiber

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 ]
• Oberseminar (Prof. Böhm) [ WiSe19/20, SoSe20, WiSe20/21, SoSe21, WiSe21/22, SoSe22, WiSe22/23, SoSe23, WiSe23/24 ]

Research Interests

• Estimating the Number of Clusters
• Hartigan's Dip-Test of Unimodality
• Deep Clustering
• (Common) Subspace Clustering
• Non-Redundant/Alternative Clustering
• Information Theoretic Clustering

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

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

Publications