Claudia Plant
67 publications
10 venues
H Index 19
Affiliation
University of Vienna, AustriaLudwig Maximilian University of Munich, Germany
Links
| Name | Venue | Year | citations |
|---|---|---|---|
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering.
|
SDM | 2023 | 0 |
| Application of Deep Clustering Algorithms.
|
CIKM | 2023 | 0 |
| Interpretable Subgraph Feature Extraction for Hyperlink Prediction.
|
ICDM | 2023 | 0 |
| Analyzing the Communication Clusters in Datacenters✱.
|
WWW | 2023 | 0 |
| Semi-Supervised Embedding of Attributed Multiplex Networks.
|
WWW | 2023 | 0 |
| Automatic Parameter Selection for Non-Redundant Clustering.
|
SDM | 2022 | 0 |
| Deep Clustering With Consensus Representations.
|
ICDM | 2022 | 0 |
| Causal Discovery in Hawkes Processes by Minimum Description Length.
|
AAAI | 2022 | 0 |
| Visualization in Data Science VDS @ KDD 2022.
|
KDD | 2022 | 0 |
| The DipEncoder: Enforcing Multimodality in Autoencoders.
|
KDD | 2022 | 0 |
| DBHD: Density-based clustering for highly varying density.
|
ICDM | 2022 | 0 |
| Dip-based Deep Embedded Clustering with k-Estimation.
|
KDD | 2021 | 3 |
| Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces.
|
IJCAI | 2021 | 0 |
| Density-Based Clustering for Adaptive Density Variation.
|
ICDM | 2021 | 2 |
| VDS'21: Visualization in Data Science.
|
KDD | 2021 | 0 |
| Spectral Clustering of Attributed Multi-relational Graphs.
|
KDD | 2021 | 6 |
| Utilizing Structure-Rich Features to Improve Clustering.
|
ECML/PKDD | 2020 | 4 |
| Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning.
|
KDD | 2020 | 5 |
| Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape.
|
ECAI | 2020 | 0 |
| Graphical Granger Causality by Information-Theoretic Criteria.
|
ECAI | 2020 | 2 |
| Deep Embedded Non-Redundant Clustering.
|
AAAI | 2020 | 8 |
| Poisson Graphical Granger Causality by Minimum Message Length.
|
ECML/PKDD | 2020 | 3 |
| ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data.
|
PAKDD | 2020 | 2 |
| Deep Embedded Cluster Tree.
|
ICDM | 2019 | 8 |
| Network Structure and Transfer Behaviors Embedding via Deep Prediction Model.
|
AAAI | 2019 | 8 |
| Granger Causality for Heterogeneous Processes.
|
PAKDD | 2019 | 6 |
| Clustering of Mixed-Type Data Considering Concept Hierarchies.
|
PAKDD | 2019 | 0 |
| DipTransformation: Enhancing the Structure of a Dataset and Thereby Improving Clustering.
|
ICDM | 2018 | 8 |
| Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
|
KDD | 2018 | 22 |
| Multi-core K-means.
|
SDM | 2017 | 17 |
| Towards an Optimal Subspace for K-Means.
|
KDD | 2017 | 19 |
| Learning from Labeled and Unlabeled Vertices in Networks.
|
KDD | 2017 | 14 |
| Attributed Graph Clustering with Unimodal Normalized Cut.
|
ECML/PKDD | 2017 | 19 |
| Let's See Your Digits: Anomalous-State Detection using Benford's Law.
|
KDD | 2017 | 10 |
| Information-Theoretic Non-redundant Subspace Clustering.
|
PAKDD | 2017 | 4 |
| Generalized Independent Subspace Clustering.
|
ICDM | 2016 | 24 |
| MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length.
|
ICDM | 2016 | 15 |
| Gaussian Component Based Index for GMMs.
|
ICDM | 2016 | 5 |
| FUSE: Full Spectral Clustering.
|
KDD | 2016 | 28 |
| Skinny-dip: Clustering in a Sea of Noise.
|
KDD | 2016 | 49 |
| Factorizing Complex Discrete Data "with Finesse".
|
ICDM | 2016 | 0 |
| Ternary Matrix Factorization.
|
ICDM | 2014 | 8 |
| Finding the Optimal Subspace for Clustering.
|
ICDM | 2014 | 23 |
| Relevant overlapping subspace clusters on categorical data.
|
KDD | 2014 | 9 |
| Metric Factorization for Exploratory Analysis of Complex Data.
|
ICDM | 2014 | 3 |
| Massively parallel expectation maximization using graphics processing units.
|
KDD | 2013 | 20 |
| Robust Synchronization-Based Graph Clustering.
|
PAKDD | 2013 | 18 |
| Compression-Based Graph Mining Exploiting Structure Primitives.
|
ICDM | 2013 | 13 |
| Active Density-Based Clustering.
|
ICDM | 2013 | 30 |
| A Similarity Model and Segmentation Algorithm for White Matter Fiber Tracts.
|
ICDM | 2012 | 28 |
| Summarization-based mining bipartite graphs.
|
KDD | 2012 | 23 |
| Dependency clustering across measurement scales.
|
KDD | 2012 | 18 |
| Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data.
|
ICDM | 2011 | 30 |
| INCONCO: interpretable clustering of numerical and categorical objects.
|
KDD | 2011 | 37 |
| Weighted Graph Compression for Parameter-free Clustering With PaCCo.
|
SDM | 2011 | 9 |
| SONAR: Signal De-mixing for Robust Correlation Clustering.
|
SDM | 2011 | 1 |
| Clustering by synchronization.
|
KDD | 2010 | 79 |
| ITCH: Information-Theoretic Cluster Hierarchies.
|
ECML/PKDD | 2010 | 10 |
| Integrative Parameter-Free Clustering of Data with Mixed Type Attributes.
|
PAKDD | 2010 | 25 |
| Synchronization Based Outlier Detection.
|
ECML/PKDD | 2010 | 14 |
| SkyDist: Data Mining on Skyline Objects.
|
PAKDD | 2010 | 5 |
| Density-based clustering using graphics processors.
|
CIKM | 2009 | 94 |
| Interaction-Based Clustering of Multivariate Time Series.
|
ICDM | 2009 | 20 |
| Probabilistic skyline queries.
|
CIKM | 2009 | 46 |
| CoCo: coding cost for parameter-free outlier detection.
|
KDD | 2009 | 48 |
| Robust information-theoretic clustering.
|
KDD | 2006 | 55 |
| Subspace Selection for Clustering High-Dimensional Data.
|
ICDM | 2004 | 75 |