VERIPS: Verified Pseudo-label Selection for Deep Active Learning. - Sandra Gilhuber; Philipp Jahn 001; Yunpu Ma; Thomas Seidl 001 (ICDM, 2022)

Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. - Anna Beer 001; Andrew Draganov; Ellen Hohma; Philipp Jahn 001; Christian M. M. Frey; Ira Assent (KDD, 2023)

Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. - Philipp Jahn 001; Christian M. M. Frey; Anna Beer 001; Collin Leiber; Thomas Seidl 001 (ECML/PKDD (7), 2024)