Anna Beer

38 papers A* 5A 1B 9Misc 1Journal 7Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
DISCO: Internal Evaluation of Density-Based Clustering.
CoRR
Anna Beer, Lena Krieger, Pascal Weber, Martin Ritzert, Ira Assent, Claudia Plant
2025 A* conf
FairDen: Fair Density-Based Clustering.
ICLR
Lena Krieger, Anna Beer, Pernille Matthews, Anneka Myrup Thiesson, Ira Assent
2025 — conf
Going Offline: An Evaluation of the Offline Phase in Stream Clustering.
ECML/PKDD (7)
Philipp Jahn, Walid Durani, Collin Leiber, Anna Beer, Thomas Seidl
2025 J jnl
I Want 'Em All (At Once) - Ultrametric Cluster Hierarchies.
CoRR
Andrew Draganov, Pascal Weber, Rasmus Skibdahl Melanchton Jørgensen, Anna Beer, Claudia Plant, Ira Assent
2025 A conf
Parameter Selection for DBSCAN: Insights from Persistent Homology.
ECAI
Anna Beer, Ekaterina Kuznetsova, Claudia Plant
2025 A* conf
Sc-GRIP: a Graph Convolutional Approach to Infer Gene Interaction Polarity from Single-Cell Data.
ICDM
Carolina E. Atria, Yitao Cai, Pascal Weber, Anna Beer, Nils M. Kriege, Christian Boehm, Roger Revilla-i-Domingo, Claudia Plant
2024 A* conf
DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics.
ICDE
Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent
2024 — conf
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms.
ECML/PKDD (7)
Philipp Jahn, Christian M. M. Frey, Anna Beer, Collin Leiber, Thomas Seidl
2024 — conf
FALCUN: A Simple and Efficient Deep Active Learning Strategy.
ECML/PKDD (3)
Sandra Gilhuber, Anna Beer, Yunpu Ma, Thomas Seidl
2024 A* conf
SHADE: Deep Density-based Clustering.
ICDM
Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant
2024 J jnl
SHADE: Deep Density-based Clustering.
CoRR
Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant
2024 J jnl
Temporal Subspace Clustering for Molecular Dynamics Data.
CoRR
Anna Beer, Martin Heinrigs, Claudia Plant, Ira Assent
2023 A* conf
Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.
KDD
Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent
2023 J jnl
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study.
Adv. Data Anal. Classif.
Theresa Ullmann, Anna Beer, Maximilian Hünemörder, Thomas Seidl, Anne-Laure Boulesteix
2022 J jnl
SCAR - Spectral Clustering Accelerated and Robustified.
Proc. VLDB Endow.
Ellen Hohma, Christian M. M. Frey, Anna Beer, Thomas Seidl
2021 — conf
AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval.
LWDA
Andreas Lohrer, Anna Beer, Maximilian Archimedes Xaver Hünemörder, Jenny Lauterbach, Thomas Seidl, Peer Kröger
2021 Misc conf
Cluster Flow - an Advanced Concept for Ensemble-Enabling, Interactive Clustering.
BTW
Sandra Obermeier, Anna Beer, Florian Wahl, Thomas Seidl
2021 B conf
Compound Segmentation via Clustering on Mol2Vec-based Embeddings.
e-Science
Daniyal Kazempour, Anna Beer, Melanie Oelker, Peer Kröger, Thomas Seidl
2021 B conf
KISS - A fast kNN-based Importance Score for Subspaces.
EDBT
Anna Beer, Ekaterina Allerborn, Valentin Hartmann, Thomas Seidl
2021 — conf
LUCKe - Connecting Clustering and Correlation Clustering.
ICDM (Workshops)
Anna Beer, Lisa Stephan, Thomas Seidl
2021 — —
On the edges of clustering: creating synergies with related problems.
Anna Beer
2020 B conf
Angle-Based Clustering.
SISAP
Anna Beer, Dominik Seeholzer, Nadine Sarah Schüler, Thomas Seidl
2020 — conf
Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data.
LWDA
Anna Beer, Daniyal Kazempour, Julian Busch, Alexander Tekles, Thomas Seidl
2020 — conf
I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering.
ICDM (Workshops)
Daniyal Kazempour, Anna Beer, Peer Kröger, Thomas Seidl
2020 B conf
Orderings of Data - More Than a Tripping Hazard: Visionary.
SSDBM
Anna Beer, Valentin Hartmann, Thomas Seidl
2019 — conf
A Generator for Subspace Clusters.
LWDA
Anna Beer, Nadine Sarah Schüler, Thomas Seidl
2019 — conf
CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA.
LWDA
Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour, Thomas Seidl
2019 J jnl
Chain-detection Between Clusters.
Datenbank-Spektrum
Janis Held, Anna Beer, Thomas Seidl
2019 — conf
Chain-detection for DBSCAN.
BTW (Workshops)
Janis Held, Anna Beer, Thomas Seidl
2019 — conf
Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents.
LWDA
Daniyal Kazempour, Anna Beer, Oliver Schrüfer, Thomas Seidl
2019 — conf
Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data.
HCI (34)
Daniyal Kazempour, Anna Beer, Thomas Seidl
2019 B conf
Graph Ordering and Clustering: A Circular Approach.
SSDBM
Anna Beer, Thomas Seidl
2019 — conf
Human Learning in Data Science.
HCI (34)
Anna Beer, Daniyal Kazempour, Marcel Baur, Thomas Seidl
2019 B conf
LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function.
SSDBM
Anna Beer, Daniyal Kazempour, Lisa Stephan, Thomas Seidl
2019 B conf
MORe++: k-Means Based Outlier Removal on High-Dimensional Data.
SISAP
Anna Beer, Jennifer Lauterbach, Thomas Seidl
2019 B conf
Rock - Let the points roam to their clusters themselves.
EDBT
Anna Beer, Daniyal Kazempour, Thomas Seidl
2018 — conf
FATBIRD: A Tool for Flight and Trajectories Analyses of Birds.
eScience
Daniyal Kazempour, Anna Beer, Friederike Herzog, Daniel Kaltenthaler, Johannes-Y. Lohrer, Thomas Seidl
2018 B conf
PARADISO: an interactive approach of parameter selection for the mean shift algorithm.
SSDBM
Daniyal Kazempour, Anna Beer, Johannes-Y. Lohrer, Daniel Kaltenthaler, Thomas Seidl