Anna Beer

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 24

Top Topics

Outlier Removal

Top Venues

Publications

Anna Beer, Mauricio Brunet, Vibhav Srivastava, Maria-Esther Vidal
Leibniz Data Manager - A Research Data Management System. ESWC (Satellite Events) (2022)
Ellen Hohma, Christian M. m. Frey, Anna Beer, Thomas Seidl
SCAR - Spectral Clustering Accelerated and Robustified. Proc. VLDB Endow. 15 (11) (2022)
Andreas Lohrer, Anna Beer, Maximilian Archimedes Xaver Hünemörder, Jenny Lauterbach, Thomas Seidl, Peer Kröger
AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval. LWDA (2021)
Sandra Obermeier, Anna Beer, Florian Wahl, Thomas Seidl
Cluster Flow - an Advanced Concept for Ensemble-Enabling, Interactive Clustering. BTW (2021)
Anna Beer, Lisa Stephan, Thomas Seidl
LUCKe - Connecting Clustering and Correlation Clustering. ICDM (Workshops) (2021)
Daniyal Kazempour, Anna Beer, Melanie Oelker, Peer Kröger, Thomas Seidl
Compound Segmentation via Clustering on Mol2Vec-based Embeddings. e-Science (2021)
Anna Beer, Ekaterina Allerborn, Valentin Hartmann, Thomas Seidl
KISS - A fast kNN-based Importance Score for Subspaces. EDBT (2021)
Daniyal Kazempour, Anna Beer, Peer Kröger, Thomas Seidl
I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. ICDM (Workshops) (2020)
Anna Beer, Dominik Seeholzer, Nadine Sarah Schüler, Thomas Seidl
Angle-Based Clustering. SISAP (2020)
Anna Beer, Valentin Hartmann, Thomas Seidl
Orderings of Data - More Than a Tripping Hazard: Visionary. SSDBM (2020)
Anna Beer, Daniyal Kazempour, Julian Busch, Alexander Tekles, Thomas Seidl
Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data. LWDA (2020)
Anna Beer, Daniyal Kazempour, Marcel Baur, Thomas Seidl
Human Learning in Data Science. HCI (34) (2019)
Janis Held, Anna Beer, Thomas Seidl
Chain-detection for DBSCAN. BTW (Workshops) (2019)
Anna Beer, Daniyal Kazempour, Lisa Stephan, Thomas Seidl
LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function. SSDBM (2019)
Anna Beer, Jennifer Lauterbach, Thomas Seidl
MORe++: k-Means Based Outlier Removal on High-Dimensional Data. SISAP (2019)
Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour, Thomas Seidl
CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA. LWDA (2019)
Daniyal Kazempour, Anna Beer, Thomas Seidl
Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data. HCI (34) (2019)
Anna Beer, Daniyal Kazempour, Thomas Seidl
Rock - Let the points roam to their clusters themselves. EDBT (2019)
Anna Beer, Thomas Seidl
Graph Ordering and Clustering: A Circular Approach. SSDBM (2019)
Anna Beer, Nadine Sarah Schüler, Thomas Seidl
A Generator for Subspace Clusters. LWDA (2019)
Janis Held, Anna Beer, Thomas Seidl
Chain-detection Between Clusters. Datenbank-Spektrum 19 (3) (2019)
Daniyal Kazempour, Anna Beer, Oliver Schrüfer, Thomas Seidl
Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents. LWDA (2019)
Daniyal Kazempour, Anna Beer, Friederike Herzog, Daniel Kaltenthaler, Johannes-Y. Lohrer, Thomas Seidl
FATBIRD: A Tool for Flight and Trajectories Analyses of Birds. eScience (2018)
Daniyal Kazempour, Anna Beer, Johannes-Y. Lohrer, Daniel Kaltenthaler, Thomas Seidl
PARADISO: an interactive approach of parameter selection for the mean shift algorithm. SSDBM (2018)