C. Plant

Peter Widhalm, Norbert Brändle, Claudia Plant, 2017, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

SONAR: Signal De-mixing for Robust Correlation Clustering

Claudia Plant, C. Plant, 2011, SDM.

Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates

Christian Böhm, Claudia Plant, C. Böhm, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition

C. Plant, Christian Böhm, Martin Perdacher, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape

Lukas Miklautz, Claudia Plant, Benjamin Schelling, 2020, ECAI.

Weighted Graph Compression for Parameter-free Clustering With PaCCo

Christian Böhm, Katrin Haegler, Claudia Plant, 2011, SDM.

Generalized Independent Subspace Clustering

Wei Ye, Claudia Plant, Samuel Maurus, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Hierarchical Quick Shift Guided Recurrent Clustering

Christian Böhm, Claudia Plant, Muzaffer Can Altinigneli, 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).

Anytime density-based clustering of complex data

Christian Böhm, Xiao He, Jing Feng, 2014, Knowledge and Information Systems.

Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning

C. Plant, Lele Fu, Wenzhong Guo, 2022, Information Fusion.

HISSCLU: a hierarchical density-based method for semi-supervised clustering

Christian Böhm, Claudia Plant, C. Böhm, 2008, EDBT '08.

Knowledge extraction and data mining algorithms for complex biomedical data

Claudia Plant, C. Plant, 2008 .

RandomLink - Avoiding Linkage-Effects by Employing Random Effects for Clustering

Claudia Plant, Gert Sluiter, Benjamin Schelling, 2020, DEXA.

Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data

Christian Böhm, Bernhard Tilg, Christian Baumgartner, 2006, Bioinform..

Centroid Clustering of Cellular Lineage Trees

Fabian J. Theis, Valeriy Khakhutskyy, Claudia Plant, 2014, ITBAM.

Quantification of Kuramoto Coupling Between Intrinsic Brain Networks Applied to fMRI Data in Major Depressive Disorder

P. Grohs, A. Anand, A. Wohlschläger, 2022, Frontiers in Computational Neuroscience.

Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain

Christian Böhm, Klaus Hahn, Claudia Plant, 2010, Int. J. Knowl. Discov. Bioinform..

Synchronization Based Outlier Detection

Christian Böhm, Claudia Plant, Junming Shao, 2010, ECML/PKDD.

Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease

Christian Böhm, Janaina Mourão Miranda, Stefan J. Teipel, 2010, NeuroImage.

Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models

Christian Böhm, Wei Ye, Claudia Plant, 2017, DEXA.

Gaussian Component Based Index for GMMs

Christian Böhm, Claudia Plant, Linfei Zhou, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

C. Plant, Zhihao Wu, Shiping Wang, 2023, IEEE transactions on neural networks and learning systems.

Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs

C. Plant, Zhihao Wu, Shiping Wang, 2023, Neural Networks.

Dip-based Deep Embedded Clustering with k-Estimation

C. Plant, Christian Böhm, Collin Leiber, 2021, KDD.

Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces

Sebastian Tschiatschek, Claudia Plant, Lukas Miklautz, 2021, IJCAI.

Quantitative analysis of breast DCE-MR images based on ICA and an empirical model

Anke Meyer-Bäse, Sebastian Goebl, Claudia Plant, 2012, Defense + Commercial Sensing.

Novel Trends in Clustering

Claudia Plant, Christian Bohm, Christian Bohm, 2010 .

Clustering techniques for neuroimaging applications

Claudia Plant, Alexandra Derntl, C. Plant, 2016, WIREs Data Mining Knowl. Discov..

Segmentation and Kinetic Analysis of Breast Lesions in DCE-MR Imaging Using ICA

Anke Meyer-Bäse, Claudia Plant, Sebastian Goebl, 2014, ITBAM.

Transferring deep knowledge for object recognition in Low-quality underwater videos

Junyu Dong, Huiyu Zhou, Claudia Plant, 2018, Neurocomputing.

PREDICTION OF PRODROMAL AD IN MCI SUBJECTS USING MULTICENTER DTI AND MRI DATA AND MULTIPLE KERNELS SVM: AN EDSD STUDY

F. Barkhof, M. Filippi, M. Ewers, 2014, Alzheimer's & Dementia.

Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset

Stefan Klöppel, Thomas Kirste, Massimo Filippi, 2012, MBIA.

Fusing attributed and topological global-relations for network embedding

Junyu Dong, Claudia Plant, Xin Sun, 2021, Inf. Sci..

Mining Medical Data to Obtain Fuzzy Predicates

Alejandro Rosete, Claudia Plant, Taymi Ceruto Cordovés, 2014, ITBAM.

Deep Embedded Non-Redundant Clustering

Claudia Plant, Christian Böhm, Muzaffer Can Altinigneli, 2020, AAAI.

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces

Christian Böhm, Wei Ye, Claudia Plant, 2018, KDD.

Analyzing the Communication Clusters in Datacenters✱

Klaus-Tycho Foerster, C. Plant, S. Neumann, 2023, WWW.

Multi-view Graph Convolutional Networks with Differentiable Node Selection

C. Plant, Lele Fu, Shiping Wang, 2022, ArXiv.

Spectral Clustering of Attributed Multi-relational Graphs

Claudia Plant, Yllka Velaj, Sahar Behzadi, 2021, KDD.

A Novel Hilbert Curve for Cache-Locality Preserving Loops

Claudia Plant, Christian Bohm, Martin Perdacher, 2021, IEEE Transactions on Big Data.

High Dimensional Indexing

Christian Böhm, Claudia Plant, C. Böhm, 2009, Encyclopedia of Database Systems.

High Dimensional Indexing

Christian Böhm, Claudia Plant, C. Böhm, 2009, Encyclopedia of Database Systems.

Christian Böhm, Claudia Plant, Elisabeth Georgii, 2016, ITBAM.

Parameter Free Mixed-Type Density-Based Clustering

Claudia Plant, Sahar Behzadi, Mahmoud Abdelmottaleb Ibrahim, 2018, DEXA.

Identification of SNP interactions using data-parallel primitives on GPUs

Christian Böhm, Claudia Plant, Muzaffer Can Altinigneli, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Active Density-Based Clustering

Christian Böhm, Xiao He, Claudia Plant, 2013, 2013 IEEE 13th International Conference on Data Mining.

Claudia Plant, Andreas Salzburger, Moritz Kiehn, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis

Anke Meyer-Bäse, Claudia Plant, Thomas Schlossbauer, 2012, Adv. Artif. Neural Syst..

Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans

C. Plant, Christian Böhm, Wei Ye, 2020, ACM Trans. Knowl. Discov. Data.

Let's See Your Digits: Anomalous-State Detection using Benford's Law

Claudia Plant, Samuel Maurus, C. Plant, 2017, KDD.

Predicting Multiple Functions of Sustainable Flood Retention Basins under Uncertainty via Multi-Instance Multi-Label Learning

Miklas Scholz, Claudia Plant, Junming Shao, 2015 .

Information-Theoretic Model Selection for Independent Components

Christian Böhm, Anke Meyer-Bäse, Fabian J. Theis, 2010, LVA/ICA.

CAD-system based on kinetic analysis for non-mass-enhancing lesions in DCE-MRI

Anke Meyer-Bäse, Sebastian Goebl, Claudia Plant, 2013, Defense, Security, and Sensing.

Indexing Multiple-Instance Objects

Zhen Wang, Christian Böhm, Wei Ye, 2017, DEXA.

Network Structure and Transfer Behaviors Embedding via Deep Prediction Model

Christian Böhm, Junyu Dong, Claudia Plant, 2019, AAAI.

Attributed Graph Clustering with Unimodal Normalized Cut

Christian Böhm, Wei Ye, Claudia Plant, 2017, ECML/PKDD.

Skinny-dip: Clustering in a Sea of Noise

Claudia Plant, Samuel Maurus, C. Plant, 2016, KDD.

Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning

Claudia Plant, Sonja Biedermann, Christian Böhm, 2020, KDD.

Ternary Matrix Factorization: problem definitions and algorithms

Claudia Plant, Samuel Maurus, C. Plant, 2014, Knowledge and Information Systems.

Ternary Matrix Factorization: problem definitions and algorithms

C. Plant, Samuel Maurus, 2015, Knowledge and Information Systems.

Metric Factorization for Exploratory Analysis of Complex Data

Claudia Plant, C. Plant, 2014, 2014 IEEE International Conference on Data Mining.

Synchronization-based clustering on evolving data stream

Yue Tan, Ira Assent, Lianli Gao, 2019, Inf. Sci..

Massively Parallel Graph Drawing and Representation Learning pdf

Claudia Plant, Christian Böhm, C. Plant, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Intrinsic Brain Activity of Cognitively Normal Older Persons Resembles More That of Patients Both with and at Risk for Alzheimer's Disease Than That of Healthy Younger Persons

Claus Zimmer, Claudia Plant, Valentin Riedl, 2014, Brain Connect..

Anytime density-based clustering of complex data

C. Böhm, Jing Feng, C. Plant, 2015, Knowledge and Information Systems.

Claudia Plant, Sebastian Goebl, Son T. Mai, 2012, 2012 IEEE 12th International Conference on Data Mining.

Christian Böhm, Xiao He, Claudia Plant, 2011, DMMH '11.

Density-based clustering using graphics processors

Christian Böhm, Robert Noll, Claudia Plant, 2009, CIKM.

Incorporating User's Preference into Attributed Graph Clustering pdf

Ambuj K. Singh, Claudia Plant, Wei Ye, 2020, IEEE Transactions on Knowledge and Data Engineering.

IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping

Norbert Brändle, Claudia Plant, Maximilian Leodolter, 2021, J. Stat. Softw..

Efficiently Processing Continuous k-NN Queries on Data Streams

Beng Chin Ooi, Christian Böhm, Claudia Plant, 2007, 2007 IEEE 23rd International Conference on Data Engineering.

Semi-Supervised Embedding of Attributed Multiplex Networks

C. Plant, Yllka Velaj, Ylli Sadikaj, 2023, WWW.

CoCo: coding cost for parameter-free outlier detection

Christian Böhm, Katrin Haegler, Nikola S. Müller, 2009, KDD.

DeepECT: The Deep Embedded Cluster Tree

Christian Böhm, Claudia Plant, Dominik Mautz, 2020, Data Science and Engineering.

Deep Embedded Cluster Tree

Christian Böhm, Claudia Plant, Dominik Mautz, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Stroke Lesion Segmentation Using a Probabilistic Atlas of Cerebral Vascular Territories

Claudia Plant, Bjoern H. Menze, Alexandra Derntl, 2015, Brainles@MICCAI.

Dependency Anomaly Detection for Heterogeneous Time Series: A Granger-Lasso Approach

Claudia Plant, Katerina Hlavácková-Schindler, Sahar Behzadi, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Enhancing k-Means Algorithm with Tensor Processing Unit

C. Plant, Christian Böhm, Martin Perdacher, 2022, 2022 IEEE International Conference on Big Data (Big Data).

RIC: Parameter-free noise-robust clustering

Christian Böhm, Christos Faloutsos, Claudia Plant, 2007, TKDD.

Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures

Christian Böhm, Claudia Plant, C. Böhm, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

GPU backed Data Mining on Android Devices pdf

Claudia Plant, Robert Fritze, C. Plant, 2021, ArXiv.

Genotype-phenotype correlation in patients with fibrillin-1 gene mutations

C. Baumgartner, C. Plant, G. Mátyás, 2005 .

Network Embedding via Deep Prediction Model pdf

Junyu Dong, Claudia Plant, Xin Sun, 2021, IEEE Transactions on Big Data.

Heterogeneous Graphical Granger Causality by Minimum Message Length

Claudia Plant, Kateřina Hlaváčková-Schindler, C. Plant, 2020, Entropy.

Granger Causality for Heterogeneous Processes

Claudia Plant, Katerina Hlavácková-Schindler, Sahar Behzadi, 2019, PAKDD.

Massively parallel expectation maximization using graphics processing units

Christian Böhm, Claudia Plant, Muzaffer Can Altinigneli, 2013, KDD.

Hypercube

Frank Wm. Tompa, N. Sebe, E. Tanin, 2009, Encyclopedia of Database Systems.

Interpretable Gait Recognition by Granger Causality

C. Plant, Petr Sojka, Michal Balazia, 2022, International Conference on Pattern Recognition.

FUSE: Full Spectral Clustering

Christian Böhm, Wei Ye, Claudia Plant, 2016, KDD.

Mining Interaction Patterns among Brain Regions by Clustering

Anke Meyer-Bäse, Claudia Plant, Andrew Zherdin, 2014, IEEE Transactions on Knowledge and Data Engineering.

Interaction-Based Clustering of Multivariate Time Series

Claudia Plant, Andrew Zherdin, Afra M. Wohlschläger, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Theory and Applications for the R Package IncDTW

C. Plant, Maximilian Leodolter, Norbert Brändle, 2020 .

Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics

Anke Meyer-Bäse, Bernhard Burgeth, Claudia Plant, 2013, EURASIP Journal on Advances in Signal Processing.

Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain

Christian Böhm, Klaus Hahn, Claudia Plant, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging

Christian Böhm, Fabian J. Theis, Nikola S. Müller, 2010, LVA/ICA.

Robust Stability Analysis of Multi-Time Scale Genetic Regulatory Networks under Parametric Uncertainties

Anke Meyer-Bäse, Fabian J. Theis, Claudia Plant, 2010, BIOCOMP.

Graph clustering techniques applied to the glycomic response in glioblastoma cells to treatments with STAT3 phosphorylation inhibition and fetal bovine serum

Anke Meyer-Bäse, Huan He, Mark R. Emmett, 2011, Defense + Commercial Sensing.

Outlier-robust clustering using independent components

Christian Böhm, Christos Faloutsos, Claudia Plant, 2008, SIGMOD Conference.

DBHD: Density-based clustering for highly varying density

C. Plant, Christian Böhm, Dominik Mautz, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Synchronization-based scalable subspace clustering of high-dimensional data

Christian Böhm, Claudia Plant, Junming Shao, 2016, Knowledge and Information Systems.

Synchronization-Inspired Partitioning and Hierarchical Clustering

Christian Böhm, Xiao He, Claudia Plant, 2013, IEEE Transactions on Knowledge and Data Engineering.

ITCH: Information-Theoretic Cluster Hierarchies

Christian Böhm, Claudia Plant, Frank Fiedler, 2010, ECML/PKDD.

Clustering by synchronization

Claudia Plant, Junming Shao, Qinli Yang, 2010, KDD.

Robust information-theoretic clustering

Christian Böhm, Christos Faloutsos, Claudia Plant, 2006, KDD '06.

ITGC: Information-theoretic grid-based clustering

Claudia Plant, Sahar Behzadi, Hermann Hinterhauser, 2019, EDBT.

Bioinformatics Original Paper Enhancing Instance-based Classification with Local Density: a New Algorithm for Classifying Unbalanced Biomedical Data

C. Böhm, C. Baumgartner, C. Plant, 2022 .

Cache-oblivious High-performance Similarity Join

Christian Böhm, Claudia Plant, Martin Perdacher, 2019, SIGMOD Conference.