Items where Author is "Beer, Anna"

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Number of items: 12.

  • Parameter Selection for DBSCAN: Insights from Persistent Homology
    Beer, Anna and Kuznetsova, Ekaterina and Plant, Claudia In: 28th European Conference on Artificial Intelligence (2025) , 25-30 October 2025 , Bologna, Italy (2025)

  • Going Offline: An Evaluation of the Offline Phase in Stream Clustering
    Jahn, Philipp and Durani, Walid and Leiber, Collin and Beer, Anna and Seidl, Thomas In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases 2025 , 15-19 September , Porto (2025)

  • DISCO: Internal Evaluation of Density-Based Clustering
    Beer, Anna and Krieger, Lena and Weber, Pascal and Ritzert, Martin and Assent, Ira and Plant, Claudia CoRR, abs/25. ISSN 2331-8422 (2025)

  • FairDen: Fair Density-Based Clustering
    Krieger, Lena and Beer, Anna and Matthews, Pernille and Thiesson, Anneka Myrup and Assent, Ira In: The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025 , 24-28 Apr 2025 , Singapore (2025)

  • I Want 'Em All (At Once) - Ultrametric Cluster Hierarchies
    Draganov, Andrew and Weber, Pascal and Skibdahl, Rasmus and Beer, Anna and Plant, Claudia and Assent, Ira CoRR, abs/25. ISSN 2331-8422 (2025)

  • SHADE: Deep Density-based Clustering
    Beer, Anna and Weber, Pascal and Miklautz, Lukas and Leiber, Collin and Durani, Walid and Böhm, Christian and Claudia, Plant In: IEEE International Conference on Data Mining (ICDM) 2024 , 9 Dec - 12 Dec 2024 , Abu Dhabi (2024)

  • Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms
    Jahn, Philipp and Frey, Christian M. M. and Beer, Anna and Leiber, Collin and Seidl, Thomas In: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VII , 9-13 Sep 2024 , Vilnius, Lithuania (2024)

  • FALCUN: A Simple and Efficient Deep Active Learning Strategy
    Gilhuber, Sandra and Beer, Anna and Ma, Yunpu and Seidl, Thomas In: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part III , 9-13 Sep 2024 , Vilnius, Lithuania (2024)

  • Temporal Subspace Clustering for Molecular Dynamics Data
    Beer, Anna and Heinrigs, Martin and Plant, Claudia and Assent, Ira Technical Report. UNSPECIFIED (2024)

  • DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics
    Beer, Anna and Palotás, Olivér and Maldonado, Andrea and Draganov, Andrew and Assent, Ira In: 40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024 , 13-17 May 2024 , Utrecht, NL (2024)

  • Temporal Subspace Clustering for Molecular Dynamics Data
    Beer, Anna and Heinrigs, Martin and Plant, Claudia and Assent, Ira CoRR, abs/24. ISSN 2331-8422 (2024)

  • Temporal Subspace Clustering for Molecular Dynamics Data
    Beer, Anna and Heinrigs, Martin and Plant, Claudia and Assent, Ira CoRR, abs/24. ISSN 2331-8422 (2024)

    • This list was generated on Thu Nov 27 18:47:32 2025 CET.
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