| 2025 | ECAI | Parameter Selection for DBSCAN: Insights from Persistent Homology. | Anna Beer, Ekaterina Kuznetsova, Claudia Plant |
| 2025 | ICDM | Sc-GRIP: a Graph Convolutional Approach to Infer Gene Interaction Polarity from Single-Cell Data. | Carolina E. Atria, Yitao Cai, Pascal Weber, Anna Beer, Nils M. Kriege, Christian Boehm, Roger Revilla-i-Domingo, Claudia Plant |
| 2025 | ICLR | FairDen: Fair Density-Based Clustering. | Lena Krieger, Anna Beer, Pernille Matthews, Anneka Myrup Thiesson, Ira Assent |
| 2024 | ICDE | DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. | Anna Beer, Olivr Palots, Andrea Maldonado, Andrew Draganov, Ira Assent |
| 2024 | ICDM | SHADE: Deep Density-based Clustering. | Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Bhm, Claudia Plant |
| 2023 | KDD | Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. | Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent |
| 2021 | BTW | Cluster Flow - an Advanced Concept for Ensemble-Enabling, Interactive Clustering. | Sandra Obermeier, Anna Beer, Florian Wahl, Thomas Seidl |
| 2021 | EDBT | KISS - A fast kNN-based Importance Score for Subspaces. | Anna Beer, Ekaterina Allerborn, Valentin Hartmann, Thomas Seidl |
| 2020 | ICDM | I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. | Daniyal Kazempour, Anna Beer, Peer Krger, Thomas Seidl |
| 2020 | SISAP | Angle-Based Clustering. | Anna Beer, Dominik Seeholzer, Nadine Sarah Schler, Thomas Seidl |
| 2020 | SSDBM | Orderings of Data - More Than a Tripping Hazard: Visionary. | Anna Beer, Valentin Hartmann, Thomas Seidl |
| 2019 | BTW | Chain-detection for DBSCAN. | Janis Held, Anna Beer, Thomas Seidl |
| 2019 | EDBT | Rock - Let the points roam to their clusters themselves. | Anna Beer, Daniyal Kazempour, Thomas Seidl |
| 2019 | HCI | Human Learning in Data Science. | Anna Beer, Daniyal Kazempour, Marcel Baur, Thomas Seidl |
| 2019 | HCI | Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data. | Daniyal Kazempour, Anna Beer, Thomas Seidl |
| 2019 | SISAP | MORe++: k-Means Based Outlier Removal on High-Dimensional Data. | Anna Beer, Jennifer Lauterbach, Thomas Seidl |
| 2019 | SSDBM | Graph Ordering and Clustering: A Circular Approach. | Anna Beer, Thomas Seidl |
| 2019 | SSDBM | LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function. | Anna Beer, Daniyal Kazempour, Lisa Stephan, Thomas Seidl |
| 2018 | SSDBM | PARADISO: an interactive approach of parameter selection for the mean shift algorithm. | Daniyal Kazempour, Anna Beer, Johannes-Y. Lohrer, Daniel Kaltenthaler, Thomas Seidl |