Prints of the 17th Century in a Distributed Digital Library System - Christian Böhm 001; A. Oppitz; Pavel Vogel; Stephan Wiesener (DEXA, 1995)

A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. - Stefan Berchtold; Christian Böhm 001; Daniel A. Keim; Hans-Peter Kriegel (PODS, 1997)

Fast Parallel Similarity Search in Multimedia Databases. - Stefan Berchtold; Christian Böhm 001; Bernhard Braunmüller; Daniel A. Keim; Hans-Peter Kriegel (SIGMOD Conference, 1997)

Efficiently Indexing High-Dimensional Data Spaces. - Christian Böhm 001 (Utz, 1998)

Improving the Query Performance of High-Dimensional Index Structures by Bulk-Load Operations. - Stefan Berchtold; Christian Böhm 001; Hans-Peter Kriegel (EDBT, 1998)

The Pyramid-Technique: Towards Breaking the Curse of Dimensionality. - Stefan Berchtold; Christian Böhm 001; Hans-Peter Kriegel (SIGMOD Conference, 1998)

Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases. - Stefan Berchtold; Christian Böhm 001; Hans-Peter Kriegel; Urs Michel (DaWaK, 1999)

Efficient Bulk Loading of Large High-Dimensional Indexes. - Christian Böhm 001; Hans-Peter Kriegel (DaWaK, 1999)

XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension. - Christian Böhm 001; Gerald Klump; Hans-Peter Kriegel (SSD, 1999)

Efficiently Indexing High-Dimensional Data Spaces (Abstract). - Christian Böhm 001 (Datenbank Rundbr., 1999)

Efficient Similarity Search in Digital Libraries. - Christian Böhm 001; Bernhard Braunmüller; Hans-Peter Kriegel; Matthias Schubert (ADL, 2000)

High Performance Clustering Based on the Similarity Join. - Christian Böhm 001; Bernhard Braunmüller; Markus M. Breunig; Hans-Peter Kriegel (CIKM, 2000)

Optimal Multidimensional Query Processing Using Tree Striping. - Stefan Berchtold; Christian Böhm 001; Daniel A. Keim; Hans-Peter Kriegel; Xiaowei Xu 001 (DaWaK, 2000)

The Pruning Power: Theory and Heuristics for Mining Databases with Multiple k-Nearest-Neighbor Queries. - Christian Böhm 001; Bernhard Braunmüller; Hans-Peter Kriegel (DaWaK, 2000)

Dynamically Optimizing High-Dimensional Index Structures. - Christian Böhm 001; Hans-Peter Kriegel (EDBT, 2000)

Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces. - Stefan Berchtold; Christian Böhm 001; H. V. Jagadish; Hans-Peter Kriegel; Jörg Sander 001 (ICDE, 2000)

Multidimensional Index Structures in Relational Databases. - Christian Böhm 001; Stefan Berchtold; Hans-Peter Kriegel; Urs Michel (J. Intell. Inf. Syst., 2000)

A cost model for query processing in high dimensional data spaces. - Christian Böhm 001 (ACM Trans. Database Syst., 2000)

Determining the Convex Hull in Large Multidimensional Databases. - Christian Böhm 001; Hans-Peter Kriegel (DaWaK, 2001)

Adaptable Similarity Search Using Vector Quantization. - Christian Böhm 001; Hans-Peter Kriegel; Thomas Seidl 001 (DaWaK, 2001)

A Cost Model and Index Architecture for the Similarity Join. - Christian Böhm 001; Hans-Peter Kriegel (ICDE, 2001)

On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces. - Stefan Berchtold; Christian Böhm 001; Daniel A. Keim; Florian Krebs; Hans-Peter Kriegel (ICDT, 2001)

Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data. - Christian Böhm 001; Bernhard Braunmüller; Florian Krebs; Hans-Peter Kriegel (SIGMOD Conference, 2001)

Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. - Christian Böhm 001; Stefan Berchtold; Daniel A. Keim (ACM Comput. Surv., 2001)

Optimal Dimension Order: A Generic Technique for the Similarity Join. - Christian Böhm 001; Florian Krebs; Hans-Peter Kriegel (DaWaK, 2002)

High Performance Data Mining Using the Nearest Neighbor Join. - Christian Böhm 001; Florian Krebs (ICDM, 2002)

Optimale Dimensionswahl bei der Bearbeitung des Similarity Join. - Christian Böhm 001; Hans-Peter Kriegel (Inform. Forsch. Entwickl., 2002)

Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search. - Christian Böhm 001; Hans-Peter Kriegel; Thomas Seidl 001 (J. Intell. Inf. Syst., 2002)

Supporting KDD Applications by the k-Nearest Neighbor Join. - Christian Böhm 001; Florian Krebs (DEXA, 2003)

Density Connected Clustering with Local Subspace Preferences. - Christian Böhm 001; Karin Kailing; Hans-Peter Kriegel; Peer Kröger (ICDM, 2004)

Computing Clusters of Correlation Connected Objects. - Christian Böhm 001; Karin Kailing; Peer Kröger; Arthur Zimek (SIGMOD Conference, 2004)

Supervised machine learning techniques for the classification of metabolic disorders in newborns. - Christian Baumgartner; Christian Böhm 001; Daniela Baumgartner; G. Marini; Klaus Weinberger; B. Olgemöller; B. Liebl; A. A. Roscher (Bioinform., 2004)

Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen. - Christian Böhm 001; Karin Kailing; Peer Kröger; Hans-Peter Kriegel (Datenbank-Spektrum, 2004)

The k-Nearest Neighbour Join: Turbo Charging the KDD Process. - Christian Böhm 001; Florian Krebs (Knowl. Inf. Syst., 2004)

Online Hierarchical Clustering in a Data Warehouse Environment. - Elke Achtert; Christian Böhm 001; Hans-Peter Kriegel; Peer Kröger (ICDM, 2005)

Selectivity Estimation of High Dimensional Window Queries via Clustering. - Christian Böhm 001; Hans-Peter Kriegel; Peer Kröger; Petra Linhart (SSTD, 2005)

Modelling of classification rules on metabolic patterns including machine learning and expert knowledge. - Christian Baumgartner; Christian Böhm 001; Daniela Baumgartner (J. Biomed. Informatics, 2005)

Functional Cluster Analysis of CT Perfusion Maps: A New Tool for Diagnosis of Acute Stroke? - Christian Baumgartner; Kurt Gautsch; Christian Böhm 001; Stephan Felber (J. Digit. Imaging, 2005)

Approximate reverse k-nearest neighbor queries in general metric spaces. - Elke Achtert; Christian Böhm 001; Peer Kröger; Peter Kunath; Alexey Pryakhin; Matthias Renz (CIKM, 2006)

The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors. - Christian Böhm 001; Alexey Pryakhin; Matthias Schubert (ICDE, 2006)

Deriving quantitative models for correlation clusters. - Elke Achtert; Christian Böhm 001; Hans-Peter Kriegel; Peer Kröger; Arthur Zimek (KDD, 2006)

Robust information-theoretic clustering. - Christian Böhm 001; Christos Faloutsos; Jia-Yu Pan; Claudia Plant (KDD, 2006)

DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking. - Elke Achtert; Christian Böhm 001; Peer Kröger (PAKDD, 2006)

Finding Hierarchies of Subspace Clusters. - Elke Achtert; Christian Böhm 001; Hans-Peter Kriegel; Peer Kröger; Ina Müller-Gorman; Arthur Zimek (PKDD, 2006)

Efficient reverse k-nearest neighbor search in arbitrary metric spaces. - Elke Achtert; Christian Böhm 001; Peer Kröger; Peter Kunath; Alexey Pryakhin; Matthias Renz (SIGMOD Conference, 2006)

Mining Hierarchies of Correlation Clusters. - Elke Achtert; Christian Böhm 001; Peer Kröger; Arthur Zimek (SSDBM, 2006)

Probabilistic Ranking Queries on Gaussians. - Christian Böhm 001; Alexey Pryakhin; Matthias Schubert (SSDBM, 2006)

Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data. - Claudia Plant; Christian Böhm 001; Bernhard Tilg; Christian Baumgartner (Bioinform., 2006)

Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken. - Elke Achtert; Christian Böhm 001; Stefan Brecheisen; Hans-Peter Kriegel; Peter Kunath; Alexey Pryakhin; Matthias Renz; Matthias Schubert (Datenbank-Spektrum, 2006)

Efficient Reverse k-Nearest Neighbor Estimation. - Elke Achtert; Christian Böhm 001; Peer Kröger; Peter Kunath; Alexey Pryakhin; Matthias Renz (BTW, 2007)

Effective and Efficient Indexing for Large Video Databases. - Christian Böhm 001; Peter Kunath; Alexey Pryakhin; Matthias Schubert (BTW, 2007)

Detection and Visualization of Subspace Cluster Hierarchies. - Elke Achtert; Christian Böhm 001; Hans-Peter Kriegel; Peer Kröger; Ina Müller-Gorman; Arthur Zimek (DASFAA, 2007)

ProVeR: Probabilistic Video Retrieval using the Gauss-Tree. - Christian Böhm 001; Michael Gruber; Peter Kunath; Alexey Pryakhin; Matthias Schubert (ICDE, 2007)

Efficiently Processing Continuous k-NN Queries on Data Streams. - Christian Böhm 001; Beng Chin Ooi; Claudia Plant; Ying Yan 002 (ICDE, 2007)

Robust, Complete, and Efficient Correlation Clustering. - Elke Achtert; Christian Böhm 001; Hans-Peter Kriegel; Peer Kröger; Arthur Zimek (SDM, 2007)

Querying Objects Modeled by Arbitrary Probability Distributions. - Christian Böhm 001; Peter Kunath; Alexey Pryakhin; Matthias Schubert (SSTD, 2007)

On Exploring Complex Relationships of Correlation Clusters. - Elke Achtert; Christian Böhm 001; Hans-Peter Kriegel; Peer Kröger; Arthur Zimek (SSDBM, 2007)

Efficient reverse k-nearest neighbor estimation. - Elke Achtert; Christian Böhm 001; Peer Kröger; Peter Kunath; Alexey Pryakhin; Matthias Renz (Inform. Forsch. Entwickl., 2007)

RIC: Parameter-free noise-robust clustering. - Christian Böhm 001; Christos Faloutsos; Jia-Yu Pan; Claudia Plant (ACM Trans. Knowl. Discov. Data, 2007)

HISSCLU: a hierarchical density-based method for semi-supervised clustering. - Christian Böhm 001; Claudia Plant (EDBT, 2008)

Robust Clustering in Arbitrarily Oriented Subspaces. - Elke Achtert; Christian Böhm 001; Jörn David; Peer Kröger; Arthur Zimek (SDM, 2008)

Outlier-robust clustering using independent components. - Christian Böhm 001; Christos Faloutsos; Claudia Plant (SIGMOD Conference, 2008)

Global Correlation Clustering Based on the Hough Transform. - Elke Achtert; Christian Böhm 001; Jörn David; Peer Kröger; Arthur Zimek (Stat. Anal. Data Min., 2008)

Pyramid Technique. - Christian Böhm 001 (Encyclopedia of GIS, 2008)

Model-based Classification of Data with Time Series-valued Attributes. - Christian Böhm 001; L. Läer; Claudia Plant; Andrew Zherdin (BTW, 2009)

Indexsupported Similarity Join on Graphics Processors. - Christian Böhm 001; Robert Noll; Claudia Plant; Andrew Zherdin (BTW, 2009)

Probabilistic skyline queries. - Christian Böhm 001; Frank Fiedler; Annahita Oswald; Claudia Plant; Bianca Wackersreuther (CIKM, 2009)

Density-based clustering using graphics processors. - Christian Böhm 001; Robert Noll; Claudia Plant; Bianca Wackersreuther (CIKM, 2009)

CoCo: coding cost for parameter-free outlier detection. - Christian Böhm 001; Katrin Haegler; Nikola S. Müller; Claudia Plant (KDD, 2009)

Data Mining Using Graphics Processing Units. - Christian Böhm 001; Robert Noll; Claudia Plant; Bianca Wackersreuther; Andrew Zherdin (Trans. Large Scale Data Knowl. Centered Syst., 2009)

High Dimensional Indexing. - Christian Böhm 001; Claudia Plant (Encyclopedia of Database Systems, 2009)

Information-Theoretic Model Selection for Independent Components. - Claudia Plant; Fabian J. Theis; Anke Meyer-Bäse; Christian Böhm 001 (LVA/ICA, 2010)

Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging. - Fabian J. Theis; Nikola S. Müller; Claudia Plant; Christian Böhm 001 (LVA/ICA, 2010)

Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates. - Claudia Plant; Christian Böhm 001 (ICDM Workshops, 2010)

Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain. - Junming Shao; Klaus Hahn; Qinli Yang; Christian Böhm 001; Afra M. Wohlschläger; Nicholas Myers; Claudia Plant (ICDM Workshops, 2010)

Clustering by synchronization. - Christian Böhm 001; Claudia Plant; Junming Shao; Qinli Yang (KDD, 2010)

Frequent subgraph discovery in dynamic networks. - Bianca Wackersreuther; Peter Wackersreuther; Annahita Oswald; Christian Böhm 001; Karsten M. Borgwardt (MLG@KDD, 2010)

Integrative Parameter-Free Clustering of Data with Mixed Type Attributes. - Christian Böhm 001; Sebastian Goebl; Annahita Oswald; Claudia Plant; Michael Plavinski; Bianca Wackersreuther (PAKDD (1), 2010)

SkyDist: Data Mining on Skyline Objects. - Christian Böhm 001; Annahita Oswald; Claudia Plant; Michael Plavinski; Bianca Wackersreuther (PAKDD (1), 2010)

ITCH: Information-Theoretic Cluster Hierarchies. - Christian Böhm 001; Frank Fiedler; Annahita Oswald; Claudia Plant; Bianca Wackersreuther; Peter Wackersreuther (ECML/PKDD (1), 2010)

Synchronization Based Outlier Detection. - Junming Shao; Christian Böhm 001; Qinli Yang; Claudia Plant (ECML/PKDD (3), 2010)

Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain. - Junming Shao; Klaus Hahn; Qinli Yang; Afra M. Wohlschläger; Christian Böhm 001; Nicholas Myers; Claudia Plant (Int. J. Knowl. Discov. Bioinform., 2010)

Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease. - Claudia Plant; Stefan J. Teipel; Annahita Oswald; Christian Böhm 001; Thomas Meindl; Janaina Mourão Miranda; Arun L. W. Bokde; Harald Hampel; Michael Ewers (NeuroImage, 2010)

Efficient Database Techniques for Identification with Fuzzy Vault Templates. - Christian Böhm 001; Ines Färber; Sergej Fries; Ulrike Korte; Johannes Merkle; Annahita Oswald; Thomas Seidl 001; Bianca Wackersreuther; Peter Wackersreuther (BIOSIG, 2011)

Filtertechniken für geschützte biometrische Datenbanken. - Christian Böhm 001; Ines Färber; Sergej Fries; Ulrike Korte; Johannes Merkle; Annahita Oswald; Thomas Seidl 001; Bianca Wackersreuther; Peter Wackersreuther (BTW, 2011)

Genetic Algorithm for Finding Cluster Hierarchies. - Christian Böhm 001; Annahita Oswald; Christian Richter; Bianca Wackersreuther; Peter Wackersreuther (DEXA (1), 2011)

JGrid/FCC: A Tool for Efficient Knowledge Extraction from MRI Scans. - Christian Böhm 001; Annahita Oswald; Felix Sappelt (DEXA Workshops, 2011)

Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data. - Junming Shao; Claudia Plant; Qinli Yang; Christian Böhm 001 (ICDM, 2011)

INCONCO: interpretable clustering of numerical and categorical objects. - Claudia Plant; Christian Böhm 001 (KDD, 2011)

Weighted Graph Compression for Parameter-free Clustering With PaCCo. - Nikola Müller; Katrin Haegler; Junming Shao; Claudia Plant; Christian Böhm 001 (SDM, 2011)

Biometric Template Protection - Ein Bericht über das Projekt BioKeyS. - Christoph Busch 001; Ulrike Korte; Sebastian Abt; Christian Böhm 001; Ines Färber; Sergej Fries; Johannes Merkle; Claudia Nickel; Alexander Nouak; Alexander Opel; Annahita Oswald; Thomas Seidl 001; et al. (Datenschutz und Datensicherheit, 2011)

Searching Uncertain Data Represented by Non-axis Parallel Gaussian Mixture Models. - Katrin Haegler; Frank Fiedler; Christian Böhm 001 (ICDE, 2012)

Summarization-based mining bipartite graphs. - Jing Feng 003; Xiao He 002; Bettina Konte; Christian Böhm 001; Claudia Plant (KDD, 2012)

Efficient Comparison of Encrypted Biometric Templates. - Michael Dorn; Peter Wackersreuther; Christian Böhm 001 (TrustBus, 2012)

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms. - Claudia Plant; Son Thai Mai; Junming Shao; Fabian J. Theis; Anke Meyer-Baese; Christian Böhm 001 (Adv. Artif. Neural Syst., 2012)

Multi-label classification models for sustainable flood retention basins. - Qinli Yang; Junming Shao; Miklas Scholz; Christian Böhm 001; Claudia Plant (Environ. Model. Softw., 2012)

Compression-Based Graph Mining Exploiting Structure Primitives. - Jing Feng 003; Xiao He 002; Nina C. Hubig; Christian Böhm 001; Claudia Plant (ICDM, 2013)

Active Density-Based Clustering. - Son T. Mai; Xiao He 002; Nina C. Hubig; Claudia Plant; Christian Böhm 001 (ICDM, 2013)

Massively parallel expectation maximization using graphics processing units. - Muzaffer Can Altinigneli; Claudia Plant; Christian Böhm 001 (KDD, 2013)

Robust Synchronization-Based Graph Clustering. - Junming Shao; Xiao He 002; Qinli Yang; Claudia Plant; Christian Böhm 001 (PAKDD (1), 2013)

Efficient Anytime Density-based Clustering. - Christian Böhm 001; Jing Feng 003; Xiao He 002; Son T. Mai (SDM, 2013)

Synchronization-Inspired Partitioning and Hierarchical Clustering. - Junming Shao; Xiao He 002; Christian Böhm 001; Qinli Yang; Claudia Plant (IEEE Trans. Knowl. Data Eng., 2013)

Identification of SNP interactions using data-parallel primitives on GPUs. - Muzaffer Can Altinigneli; Bettina Konte; Dan Rujescir; Christian Böhm 001; Claudia Plant (IEEE BigData, 2014)

Finding the Optimal Subspace for Clustering. - Sebastian Goebl; Xiao He 002; Claudia Plant; Christian Böhm 001 (ICDM, 2014)

Musical similarity analysis based on chroma features and text retrieval methods. - David Englmeier; Nina C. Hubig; Sebastian Goebl; Christian Böhm 001 (BTW Workshops, 2015)

Development and evaluation of a facebook-based product advisor for online dating sites. - Martin Winter; Sebastian Goebl; Nina C. Hubig; Christopher Pleines; Christian Böhm 001 (BTW Workshops, 2015)

Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures. - Christian Böhm 001; Claudia Plant (ICDM Workshops, 2015)

Anytime density-based clustering of complex data. - Son T. Mai; Xiao He 002; Jing Feng 003; Claudia Plant; Christian Böhm 001 (Knowl. Inf. Syst., 2015)

Cache-oblivious loops based on a novel space-filling curve. - Christian Böhm 001; Martin Perdacher; Claudia Plant (IEEE BigData, 2016)

MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length. - Sebastian Goebl; Annika Tonch; Christian Böhm 001; Claudia Plant (ICDM, 2016)

Subspace Clustering Ensembles through Tensor Decomposition. - Dominik Mautz; Christian Böhm 001; Claudia Plant (ICDM Workshops, 2016)

Gaussian Component Based Index for GMMs. - Linfei Zhou; Bianca Wackersreuther; Frank Fiedler; Claudia Plant; Christian Böhm 001 (ICDM, 2016)

Covariate-Related Structure Extraction from Paired Data. - Linfei Zhou; Elisabeth Georgii; Claudia Plant; Christian Böhm 001 (ITBAM, 2016)

FUSE: Full Spectral Clustering. - Wei Ye 001; Sebastian Goebl; Claudia Plant; Christian Böhm 001 (KDD, 2016)

Knowledge Discovery of Complex Data Using Gaussian Mixture Models. - Linfei Zhou; Wei Ye 001; Claudia Plant; Christian Böhm 001 (DaWaK, 2017)

Indexing Multiple-Instance Objects. - Linfei Zhou; Wei Ye 001; Zhen Wang; Claudia Plant; Christian Böhm 001 (DEXA (2), 2017)

Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models. - Linfei Zhou; Wei Ye 001; Bianca Wackersreuther; Claudia Plant; Christian Böhm 001 (DEXA (2), 2017)

Joint Gaussian Based Measures for Multiple-Instance Learning. - Linfei Zhou; Claudia Plant; Christian Böhm 001 (ICDE, 2017)

Towards an Optimal Subspace for K-Means. - Dominik Mautz; Wei Ye 001; Claudia Plant; Christian Böhm 001 (KDD, 2017)

Learning from Labeled and Unlabeled Vertices in Networks. - Wei Ye 001; Linfei Zhou; Dominik Mautz; Claudia Plant; Christian Böhm 001 (KDD, 2017)

Attributed Graph Clustering with Unimodal Normalized Cut. - Wei Ye 001; Linfei Zhou; Xin Sun 003; Claudia Plant; Christian Böhm 001 (ECML/PKDD (1), 2017)

Multi-core K-means. - Christian Böhm 001; Martin Perdacher; Claudia Plant (SDM, 2017)

Synchronization-based scalable subspace clustering of high-dimensional data. - Junming Shao; Xinzuo Wang; Qinli Yang; Claudia Plant; Christian Böhm 001 (Knowl. Inf. Syst., 2017)

Pyramid Technique. - Christian Böhm 001 (Encyclopedia of GIS, 2017)

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. - Dominik Mautz; Wei Ye 001; Claudia Plant; Christian Böhm 001 (KDD, 2018)

High-Dimensional Indexing. - Christian Böhm 001; Claudia Plant (Encyclopedia of Database Systems (2nd ed.), 2018)

Network Structure and Transfer Behaviors Embedding via Deep Prediction Model. - Xin Sun 003; Zenghui Song; Junyu Dong; Yongbo Yu; Claudia Plant; Christian Böhm 001 (AAAI, 2019)

Anomaly Detection in Time Series using Generative Adversarial Networks. - Fiete Lüer; Dominik Mautz; Christian Böhm 001 (ICDM Workshops, 2019)

Deep Embedded Cluster Tree. - Dominik Mautz; Claudia Plant; Christian Böhm 001 (ICDM, 2019)

Clustering of Mixed-Type Data Considering Concept Hierarchies. - Sahar Behzadi; Nikola S. Müller; Claudia Plant; Christian Böhm 001 (PAKDD (1), 2019)

Cache-oblivious High-performance Similarity Join. - Martin Perdacher; Claudia Plant; Christian Böhm 001 (SIGMOD Conference, 2019)

Deep Embedded Non-Redundant Clustering. - Lukas Miklautz; Dominik Mautz; Muzaffer Can Altinigneli; Christian Böhm 001; Claudia Plant (AAAI, 2020)

Massively Parallel Random Number Generation. - Christian Böhm 001; Claudia Plant (IEEE BigData, 2020)

Massively Parallel Graph Drawing and Representation Learning. - Christian Böhm 001; Claudia Plant (IEEE BigData, 2020)

Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition. - Martin Perdacher; Claudia Plant; Christian Böhm 001 (IEEE BigData, 2020)

Hierarchical Quick Shift Guided Recurrent Clustering. - Muzaffer Can Altinigneli; Lukas Miklautz; Christian Böhm 001; Claudia Plant (ICDE, 2020)

Community Attention Network for Semi-supervised Node Classification. - Zhongjing Yu; Han Wang; Yang Liu; Christian Böhm 001; Junming Shao (ICDM, 2020)

Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression. - Peiyan Li; Honglian Wang; Christian Böhm 001; Junming Shao (IJCAI, 2020)

Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning. - Claudia Plant; Sonja Biedermann; Christian Böhm 001 (KDD, 2020)

Space-filling Curves for High-performance Data Mining. - Christian Böhm 001 (CoRR, 2020)

DeepECT: The Deep Embedded Cluster Tree. - Dominik Mautz; Claudia Plant; Christian Böhm 001 (Data Sci. Eng., 2020)

Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm. - Sahar Behzadi; Nikola S. Müller; Claudia Plant; Christian Böhm 001 (Int. J. Data Sci. Anal., 2020)

Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. - Dominik Mautz; Wei Ye 001; Claudia Plant; Christian Böhm 001 (ACM Trans. Knowl. Discov. Data, 2020)

Density-Based Clustering for Adaptive Density Variation. - Li Qian 001; Claudia Plant; Christian Böhm 001 (ICDM, 2021)

Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. - Lukas Miklautz; Lena G. M. Bauer; Dominik Mautz; Sebastian Tschiatschek; Christian Böhm 001; Claudia Plant (IJCAI, 2021)

Dip-based Deep Embedded Clustering with k-Estimation. - Collin Leiber; Lena G. M. Bauer; Benjamin Schelling; Christian Böhm 001; Claudia Plant (KDD, 2021)

Fusing attributed and topological global-relations for network embedding. - Xin Sun 003; Yongbo Yu; Yao Liang; Junyu Dong; Claudia Plant; Christian Böhm 001 (Inf. Sci., 2021)

A Novel Hilbert Curve for Cache-Locality Preserving Loops. - Christian Böhm 001; Martin Perdacher; Claudia Plant (IEEE Trans. Big Data, 2021)

Incorporating User's Preference into Attributed Graph Clustering. - Wei Ye 001; Dominik Mautz; Christian Böhm 001; Ambuj K. Singh; Claudia Plant (IEEE Trans. Knowl. Data Eng., 2021)

Enhancing k-Means Algorithm with Tensor Processing Unit. - Pranava Mummoju; Anna Wolff; Martin Perdacher; Claudia Plant; Christian Böhm 001 (IEEE Big Data, 2022)

DBHD: Density-based clustering for highly varying density. - Walid Durani; Dominik Mautz; Claudia Plant; Christian Böhm 001 (ICDM, 2022)

Deep Clustering With Consensus Representations. - Lukas Miklautz; Martin Teuffenbach; Pascal Weber 001; Rona Perjuci; Walid Durani; Christian Böhm 001; Claudia Plant (ICDM, 2022)

The DipEncoder: Enforcing Multimodality in Autoencoders. - Collin Leiber; Lena G. M. Bauer; Michael Neumayr; Claudia Plant; Christian Böhm 001 (KDD, 2022)

Automatic Parameter Selection for Non-Redundant Clustering. - Collin Leiber; Dominik Mautz; Claudia Plant; Christian Böhm 001 (SDM, 2022)

An Interpretable Neuron Embedding for Static Knowledge Distillation. - Wei Han 009; Yangqiming Wang; Christian Böhm 001; Junming Shao (CoRR, 2022)

Application of Deep Clustering Algorithms. - Collin Leiber; Lukas Miklautz; Claudia Plant; Christian Böhm 001 (CIKM, 2023)

Non-Redundant Image Clustering of Early Medieval Glass Beads. - Lukas Miklautz; Andrii Shkabrii; Collin Leiber; Bendeguz Tobias; Benedict Seidl; Elisabeth Weissensteiner; Andreas Rausch 001; Christian Böhm 001; Claudia Plant (DSAA, 2023)

Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. - Wei Ye 001; Dominik Mautz; Christian Böhm 001; Ambuj K. Singh; Claudia Plant (ICDE, 2023)

Benchmarking Deep Clustering Algorithms With ClustPy. - Collin Leiber; Lukas Miklautz; Claudia Plant; Christian Böhm 001 (ICDM (Workshops), 2023)

Interpretable Subgraph Feature Extraction for Hyperlink Prediction. - Peiyan Li; Liming Pan; Kai Li; Claudia Plant; Christian Böhm 001 (ICDM, 2023)

Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores. - Fiete Lüer; Tobias Weber; Maxim Dolgich; Christian Böhm 001 (ICDM (Workshops), 2023)

k-SubMix: Common Subspace Clustering on Mixed-Type Data. - Mauritius Klein; Collin Leiber; Christian Böhm 001 (ECML/PKDD (1), 2023)

Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. - Lena G. M. Bauer; Collin Leiber; Christian Böhm 001; Claudia Plant (SDM, 2023)

Influence without Authority: Maximizing Information Coverage in Hypergraphs. - Peiyan Li; Honglian Wang; Kai Li; Christian Böhm 001 (SDM, 2023)

Network Embedding via Deep Prediction Model. - Xin Sun 003; Zenghui Song; Yongbo Yu; Junyu Dong; Claudia Plant; Christian Böhm 001 (IEEE Trans. Big Data, 2023)

Anomaly Detection using Generative Adversarial Networks Reviewing methodological progress and challenges. - Fiete Lüer; Christian Böhm 001 (SIGKDD Explor., 2023)

SHADE: Deep Density-based Clustering. - Anna Beer 001; Pascal Weber 001; Lukas Miklautz; Collin Leiber; Walid Durani; Christian Böhm 001; Claudia Plant (ICDM, 2024)

DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction. - Li Qian 001; Claudia Plant; Yalan Qin; Jing Qian; Christian Böhm 001 (ICDM, 2024)

Scalable Graph Classification via Random Walk Fingerprints. - Peiyan Li; Honglian Wang; Christian Böhm 001 (ICDM, 2024)

ADOD: Adaptive Density Outlier Detection. - Li Qian 001; Jing Qian; Xin Sun 003; Wengang Guo; Christian Böhm 001 (ICDM, 2024)

Synchronization-Inspired Interpretable Neural Networks. - Wei Han 009; Zhili Qin; Jiaming Liu 002; Christian Böhm 001; Junming Shao (IEEE Trans. Neural Networks Learn. Syst., 2024)

DMDHC: Discovery of Multi-Density Hierarchical Cluster Structures. - Walid Durani; Dominik Mautz; Claudia Plant; Christian Böhm 001 (SDM, 2025)

An Introductory Survey to Autoencoder-based Deep Clustering - Sandboxes for Combining Clustering with Deep Learning. - Collin Leiber; Lukas Miklautz; Claudia Plant; Christian Böhm 001 (CoRR, 2025)

Bootstrap Deep Spectral Clustering with Optimal Transport. - Wengang Guo; Wei Ye 001; Chunchun Chen; Xin Sun 003; Christian Böhm 001; Claudia Plant; Susanto Rahardja (CoRR, 2025)