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Claudia Plant
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- affiliation: University of Vienna, Austria
- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2024
- [j36]Maximilian Leodolter, Claudia Plant, Norbert Brändle:
Rotation invariant GPS trajectory mining. GeoInformatica 28(1): 89-115 (2024) - [j35]Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo:
Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs. Neural Networks 174: 106225 (2024) - [j34]Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo:
Multi-View Graph Convolutional Networks with Differentiable Node Selection. ACM Trans. Knowl. Discov. Data 18(1): 6:1-6:21 (2024) - [j33]Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, Wenzhong Guo:
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13764-13776 (2024) - [c123]Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth:
Text-Guided Image Clustering. EACL (1) 2024: 2960-2976 - [c122]Peter Dolog, Ylli Sadikaj, Yllka Velaj, Andreas Stephan, Benjamin Roth, Claudia Plant:
The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. WWW (Companion Volume) 2024: 589-592 - [i22]Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth:
Text-Guided Image Clustering. CoRR abs/2402.02996 (2024) - [i21]Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, Wenzhong Guo:
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. CoRR abs/2403.09171 (2024) - [i20]Alexander Bakumenko, Katerina Hlavácková-Schindler, Claudia Plant, Nina C. Hubig:
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs. CoRR abs/2406.03614 (2024) - [i19]Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz de Araujo, Dominik Répás, Claudia Plant, Benjamin Roth:
Text-Guided Alternative Image Clustering. CoRR abs/2406.18589 (2024) - [i18]Anna Beer, Martin Heinrigs, Claudia Plant, Ira Assent:
Temporal Subspace Clustering for Molecular Dynamics Data. CoRR abs/2408.00056 (2024) - [i17]Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant:
SHADE: Deep Density-based Clustering. CoRR abs/2410.06265 (2024) - 2023
- [j32]Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang:
Learnable graph convolutional network and feature fusion for multi-view learning. Inf. Fusion 95: 109-119 (2023) - [j31]Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Böhm:
Network Embedding via Deep Prediction Model. IEEE Trans. Big Data 9(2): 455-470 (2023) - [c121]Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
Application of Deep Clustering Algorithms. CIKM 2023: 5208-5211 - [c120]Lukas Miklautz, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm, Claudia Plant:
Non-Redundant Image Clustering of Early Medieval Glass Beads. DSAA 2023: 1-12 - [c119]Pascal Weber, Lukas Miklautz, Akshey Kumar, Moritz Grosse-Wentrup, Claudia Plant:
CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. DSAA 2023: 1-10 - [c118]Yllka Velaj, Dominik Dolezal, Roland Ambros, Claudia Plant, Renate Motschnig:
Teaching Data Science to Non-Computer Science Students: A Learner-Centered Approach. FIE 2023: 1-9 - [c117]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. ICDE 2023: 3833-3834 - [c116]Peiyan Li, Liming Pan, Kai Li, Claudia Plant, Christian Böhm:
Interpretable Subgraph Feature Extraction for Hyperlink Prediction. ICDM 2023: 279-288 - [c115]Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
Benchmarking Deep Clustering Algorithms With ClustPy. ICDM (Workshops) 2023: 625-632 - [c114]Lena G. M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant:
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. SDM 2023: 109-117 - [c113]Ylli Sadikaj, Justus Rass, Yllka Velaj, Claudia Plant:
Semi-Supervised Embedding of Attributed Multiplex Networks. WWW 2023: 578-587 - [c112]Klaus-Tycho Foerster, Thibault Marette, Stefan Neumann, Claudia Plant, Ylli Sadikaj, Stefan Schmid, Yllka Velaj:
Analyzing the Communication Clusters in Datacenters✱. WWW 2023: 3022-3032 - [e7]Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14169, Springer 2023, ISBN 978-3-031-43411-2 [contents] - [e6]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14170, Springer 2023, ISBN 978-3-031-43414-3 [contents] - [e5]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14171, Springer 2023, ISBN 978-3-031-43417-4 [contents] - [e4]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14172, Springer 2023, ISBN 978-3-031-43420-4 [contents] - [e3]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14173, Springer 2023, ISBN 978-3-031-43423-5 [contents] - [i16]Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo:
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs. CoRR abs/2304.06336 (2023) - [i15]Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, Wenzhong Guo:
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. CoRR abs/2304.07014 (2023) - [i14]Ylli Sadikaj, Yllka Velaj, Sahar Behzadi, Claudia Plant:
Spectral Clustering of Attributed Multi-relational Graphs. CoRR abs/2311.01840 (2023) - [i13]Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm:
Automatic Parameter Selection for Non-Redundant Clustering. CoRR abs/2312.11952 (2023) - [i12]Lena G. M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant:
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. CoRR abs/2312.12050 (2023) - 2022
- [j30]Lena G. M. Bauer, Fabian Hirsch, Corey Jones, Matthew Hollander, Philipp Grohs, Amit Anand, Claudia Plant, Afra M. Wohlschläger:
Quantification of Kuramoto Coupling Between Intrinsic Brain Networks Applied to fMRI Data in Major Depressive Disorder. Frontiers Comput. Neurosci. 16: 729556 (2022) - [c111]Amirkasra Jalaldoust, Katerina Hlavácková-Schindler, Claudia Plant:
Causal Discovery in Hawkes Processes by Minimum Description Length. AAAI 2022: 6978-6987 - [c110]Pranava Mummoju, Anna Wolff, Martin Perdacher, Claudia Plant, Christian Böhm:
Enhancing k-Means Algorithm with Tensor Processing Unit. IEEE Big Data 2022: 194-200 - [c109]Christina Pacher, Irene Schicker, Rosmarie deWit, Katerina Hlavácková-Schindler, Claudia Plant:
AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree. DSAA 2022: 1-10 - [c108]Yllka Velaj, Dominik Dolezal, Roland Ambros, Claudia Plant, Renate Motschnig:
Designing a Data Science Course for Non-Computer Science Students: Practical Considerations and Findings. FIE 2022: 1-9 - [c107]Walid Durani, Dominik Mautz, Claudia Plant, Christian Böhm:
DBHD: Density-based clustering for highly varying density. ICDM 2022: 921-926 - [c106]Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant:
Deep Clustering With Consensus Representations. ICDM 2022: 1119-1124 - [c105]Michal Balazia, Katerina Hlavácková-Schindler, Petr Sojka, Claudia Plant:
Interpretable Gait Recognition by Granger Causality. ICPR 2022: 1069-1075 - [c104]Collin Leiber, Lena G. M. Bauer, Michael Neumayr, Claudia Plant, Christian Böhm:
The DipEncoder: Enforcing Multimodality in Autoencoders. KDD 2022: 846-856 - [c103]Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan:
Visualization in Data Science VDS @ KDD 2022. KDD 2022: 4894-4895 - [c102]Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm:
Automatic Parameter Selection for Non-Redundant Clustering. SDM 2022: 226-234 - [i11]Amirkasra Jalaldoust, Katerina Hlavácková-Schindler, Claudia Plant:
Causal Discovery in Hawkes Processes by Minimum Description Length. CoRR abs/2206.06124 (2022) - [i10]Michal Balazia, Katerina Hlavácková-Schindler, Petr Sojka, Claudia Plant:
Interpretable Gait Recognition by Granger Causality. CoRR abs/2206.06714 (2022) - [i9]Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant:
Deep Clustering With Consensus Representations. CoRR abs/2210.07063 (2022) - [i8]Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang:
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning. CoRR abs/2211.09155 (2022) - [i7]Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo:
Multi-view Graph Convolutional Networks with Differentiable Node Selection. CoRR abs/2212.05124 (2022) - [i6]Christina Pacher, Irene Schicker, Rosmarie deWit, Katerina Hlavácková-Schindler, Claudia Plant:
AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree. CoRR abs/2212.06642 (2022) - 2021
- [j29]Xin Sun, Yongbo Yu, Yao Liang, Junyu Dong, Claudia Plant, Christian Böhm:
Fusing attributed and topological global-relations for network embedding. Inf. Sci. 558: 76-90 (2021) - [j28]Maximilian Leodolter, Claudia Plant, Norbert Brändle:
IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping. J. Stat. Softw. 99(9) (2021) - [j27]Christian Böhm, Martin Perdacher, Claudia Plant:
A Novel Hilbert Curve for Cache-Locality Preserving Loops. IEEE Trans. Big Data 7(2): 241-254 (2021) - [j26]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 33(12): 3716-3728 (2021) - [c101]Li Qian, Claudia Plant, Christian Böhm:
Density-Based Clustering for Adaptive Density Variation. ICDM 2021: 1282-1287 - [c100]Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant:
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. IJCAI 2021: 2826-2832 - [c99]Collin Leiber, Lena G. M. Bauer, Benjamin Schelling, Christian Böhm, Claudia Plant:
Dip-based Deep Embedded Clustering with k-Estimation. KDD 2021: 903-913 - [c98]Ylli Sadikaj, Yllka Velaj, Sahar Behzadi, Claudia Plant:
Spectral Clustering of Attributed Multi-relational Graphs. KDD 2021: 1431-1440 - [c97]Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao:
VDS'21: Visualization in Data Science. KDD 2021: 4149-4150 - [i5]Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Böhm:
Network Embedding via Deep Prediction Model. CoRR abs/2104.13323 (2021) - [i4]Robert Fritze, Claudia Plant:
GPU backed Data Mining on Android Devices. CoRR abs/2112.04800 (2021) - [i3]Robert Fritze, Claudia Plant:
High performance computing on Android devices - a case study. CoRR abs/2112.04845 (2021) - 2020
- [j25]Dominik Mautz, Claudia Plant, Christian Böhm:
DeepECT: The Deep Embedded Cluster Tree. Data Sci. Eng. 5(4): 419-432 (2020) - [j24]Muzaffer Can Altinigneli, Lena Greta Marie Bauer, Sahar Behzadi, Robert Fritze, Katerina Hlavácková-Schindler, Maximilian Leodolter, Lukas Miklautz, Martin Perdacher, Ylli Sadikaj, Benjamin Schelling, Claudia Plant:
The Data Mining Group at University of Vienna. Datenbank-Spektrum 20(1): 71-79 (2020) - [j23]Katerina Hlavácková-Schindler, Claudia Plant:
Heterogeneous Graphical Granger Causality by Minimum Message Length. Entropy 22(12): 1400 (2020) - [j22]Sahar Behzadi, Nikola S. Müller, Claudia Plant, Christian Böhm:
Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm. Int. J. Data Sci. Anal. 10(3): 233-248 (2020) - [j21]Benjamin Schelling, Claudia Plant:
Dataset-Transformation: improving clustering by enhancing the structure with DipScaling and DipTransformation. Knowl. Inf. Syst. 62(2): 457-484 (2020) - [j20]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. ACM Trans. Knowl. Discov. Data 14(5): 55:1-55:24 (2020) - [c96]Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant:
Deep Embedded Non-Redundant Clustering. AAAI 2020: 5174-5181 - [c95]Martin Perdacher, Claudia Plant, Christian Böhm:
Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition. IEEE BigData 2020: 351-360 - [c94]Christian Böhm, Claudia Plant:
Massively Parallel Random Number Generation. IEEE BigData 2020: 413-419 - [c93]Christian Böhm, Claudia Plant:
Massively Parallel Graph Drawing and Representation Learning. IEEE BigData 2020: 609-616 - [c92]Gert Sluiter, Benjamin Schelling, Claudia Plant:
RandomLink - Avoiding Linkage-Effects by Employing Random Effects for Clustering. DEXA (1) 2020: 217-232 - [c91]Raphael Sahann, Claudia Plant, Torsten Möller:
A Distance Metric for Sets of Events. DSAA 2020: 506-515 - [c90]Benjamin Schelling, Lukas Miklautz, Claudia Plant:
Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape. ECAI 2020: 1451-1458 - [c89]Katerina Hlavácková-Schindler, Claudia Plant:
Graphical Granger Causality by Information-Theoretic Criteria. ECAI 2020: 1459-1466 - [c88]Muzaffer Can Altinigneli, Lukas Miklautz, Christian Böhm, Claudia Plant:
Hierarchical Quick Shift Guided Recurrent Clustering. ICDE 2020: 1842-1845 - [c87]Claudia Plant, Sonja Biedermann, Christian Böhm:
Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning. KDD 2020: 1212-1222 - [c86]Sahar Behzadi, Benjamin Schelling, Claudia Plant:
ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data. PAKDD (2) 2020: 742-755 - [c85]Benjamin Schelling, Lena Greta Marie Bauer, Sahar Behzadi, Claudia Plant:
Utilizing Structure-Rich Features to Improve Clustering. ECML/PKDD (1) 2020: 91-107 - [c84]Katerina Hlavácková-Schindler, Claudia Plant:
Poisson Graphical Granger Causality by Minimum Message Length. ECML/PKDD (1) 2020: 526-541 - [e2]Claudia Plant, Haixun Wang, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu:
20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020. IEEE 2020, ISBN 978-1-7281-8316-9 [contents] - [i2]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering. CoRR abs/2003.11079 (2020) - [i1]Christian Böhm, Claudia Plant:
Massively Parallel Graph Drawing and Representation Learning. CoRR abs/2011.03479 (2020)
2010 – 2019
- 2019
- [j19]Junming Shao, Yue Tan, Lianli Gao, Qinli Yang, Claudia Plant, Ira Assent:
Synchronization-based clustering on evolving data stream. Inf. Sci. 501: 573-587 (2019) - [c83]Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm:
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model. AAAI 2019: 5041-5048 - [c82]Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Claudia Plant, Andreas Salzburger:
Similarity hashing for charged particle tracking. IEEE BigData 2019: 1595-1600 - [c81]Sahar Behzadi, Hermann Hinterhauser, Claudia Plant:
ITGC: Information-theoretic grid-based clustering. EDBT 2019: 618-621 - [c80]Benjamin Schelling, Claudia Plant:
DipTransformation: Enhancing the Structure of a Dataset and thereby improving Clustering. GI-Jahrestagung 2019: 255-256 - [c79]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. GI-Jahrestagung 2019: 257-258 - [c78]Lena Greta Marie Bauer, Philipp Grohs, Afra M. Wohlschläger, Claudia Plant:
Planting Synchronisation Trees for Discovering Interaction Patterns Among Brain Regions. ICDM Workshops 2019: 1035-1036 - [c77]Dominik Mautz, Claudia Plant, Christian Böhm:
Deep Embedded Cluster Tree. ICDM 2019: 1258-1263 - [c76]Sahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant:
Granger Causality for Heterogeneous Processes. PAKDD (3) 2019: 463-475 - [c75]Sahar Behzadi, Nikola S. Müller, Claudia Plant, Christian Böhm:
Clustering of Mixed-Type Data Considering Concept Hierarchies. PAKDD (1) 2019: 555-573 - [c74]Martin Perdacher, Claudia Plant, Christian Böhm:
Cache-oblivious High-performance Similarity Join. SIGMOD Conference 2019: 87-104 - 2018
- [j18]Xin Sun, Junyu Shi, Lipeng Liu, Junyu Dong, Claudia Plant, Xinhua Wang, Huiyu Zhou:
Transferring deep knowledge for object recognition in Low-quality underwater videos. Neurocomputing 275: 897-908 (2018) - [c73]Benjamin Schelling, Claudia Plant:
KMN - Removing Noise from K-Means Clustering Results. DaWaK 2018: 137-151 - [c72]Sahar Behzadi, Mahmoud Abdelmottaleb Ibrahim, Claudia Plant:
Parameter Free Mixed-Type Density-Based Clustering. DEXA (2) 2018: 19-34 - [c71]Roman Feldbauer, Maximilian Leodolter, Claudia Plant, Arthur Flexer:
Fast Approximate Hubness Reduction for Large High-Dimensional Data. ICBK 2018: 358-367 - [c70]Maximilian Leodolter, Norbert Brändle, Claudia Plant:
Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm. ICBK 2018: 423-431 - [c69]Benjamin Schelling, Claudia Plant:
DipTransformation: Enhancing the Structure of a Dataset and Thereby Improving Clustering. ICDM 2018: 407-416 - [c68]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. KDD 2018: 1973-1982 - [r2]Christian Böhm, Claudia Plant:
High-Dimensional Indexing. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j17]Junming Shao, Xinzuo Wang, Qinli Yang, Claudia Plant, Christian Böhm:
Synchronization-based scalable subspace clustering of high-dimensional data. Knowl. Inf. Syst. 52(1): 83-111 (2017) - [c67]Linfei Zhou, Wei Ye, Claudia Plant, Christian Böhm:
Knowledge Discovery of Complex Data Using Gaussian Mixture Models. DaWaK 2017: 409-423 - [c66]Linfei Zhou, Wei Ye, Zhen Wang, Claudia Plant, Christian Böhm:
Indexing Multiple-Instance Objects. DEXA (2) 2017: 143-157 - [c65]Linfei Zhou, Wei Ye, Bianca Wackersreuther, Claudia Plant, Christian Böhm:
Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models. DEXA (2) 2017: 158-171 - [c64]Linfei Zhou, Claudia Plant, Christian Böhm:
Joint Gaussian Based Measures for Multiple-Instance Learning. ICDE 2017: 203-206 - [c63]Sahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant:
Dependency Anomaly Detection for Heterogeneous Time Series: A Granger-Lasso Approach. ICDM Workshops 2017: 1090-1099 - [c62]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Towards an Optimal Subspace for K-Means. KDD 2017: 365-373 - [c61]Samuel Maurus, Claudia Plant:
Let's See Your Digits: Anomalous-State Detection using Benford's Law. KDD 2017: 977-986 - [c60]Wei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm:
Learning from Labeled and Unlabeled Vertices in Networks. KDD 2017: 1265-1274 - [c59]Maximilian Leodolter, Peter Widhalm, Claudia Plant, Norbert Brändle:
Semi-supervised segmentation of accelerometer time series for transport mode classification. MT-ITS 2017: 663-668 - [c58]Nina C. Hubig, Claudia Plant:
Information-Theoretic Non-redundant Subspace Clustering. PAKDD (1) 2017: 198-209 - [c57]Wei Ye, Linfei Zhou, Xin Sun, Claudia Plant, Christian Böhm:
Attributed Graph Clustering with Unimodal Normalized Cut. ECML/PKDD (1) 2017: 601-616 - [c56]Christian Böhm, Martin Perdacher, Claudia Plant:
Multi-core K-means. SDM 2017: 273-281 - 2016
- [j16]Samuel Maurus, Claudia Plant:
Ternary Matrix Factorization: problem definitions and algorithms. Knowl. Inf. Syst. 46(1): 1-31 (2016) - [j15]Alexandra Derntl, Claudia Plant:
Clustering techniques for neuroimaging applications. WIREs Data Mining Knowl. Discov. 6(1): 22-36 (2016) - [c55]Christian Böhm, Martin Perdacher, Claudia Plant:
Cache-oblivious loops based on a novel space-filling curve. IEEE BigData 2016: 17-26 - [c54]Wei Ye, Samuel Maurus, Nina C. Hubig, Claudia Plant:
Generalized Independent Subspace Clustering. ICDM 2016: 569-578 - [c53]Sebastian Goebl, Annika Tonch, Christian Böhm, Claudia Plant:
MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length. ICDM 2016: 889-894 - [c52]Samuel Maurus, Claudia Plant:
Factorizing Complex Discrete Data "with Finesse". ICDM 2016: 1077-1082 - [c51]Dominik Mautz, Christian Böhm, Claudia Plant:
Subspace Clustering Ensembles through Tensor Decomposition. ICDM Workshops 2016: 1225-1234 - [c50]Benjamin Schelling, Claudia Plant:
Clustering with the Levy Walk: "Hunting" for Clusters. ICDM Workshops 2016: 1251-1260 - [c49]Linfei Zhou, Bianca Wackersreuther, Frank Fiedler, Claudia Plant, Christian Böhm:
Gaussian Component Based Index for GMMs. ICDM 2016: 1365-1370 - [c48]Linfei Zhou, Elisabeth Georgii, Claudia Plant, Christian Böhm:
Covariate-Related Structure Extraction from Paired Data. ITBAM 2016: 151-162 - [c47]Samuel Maurus, Claudia Plant:
Skinny-dip: Clustering in a Sea of Noise. KDD 2016: 1055-1064 - [c46]Wei Ye, Sebastian Goebl, Claudia Plant, Christian Böhm:
FUSE: Full Spectral Clustering. KDD 2016: 1985-1994 - 2015
- [j14]Son T. Mai, Xiao He, Jing Feng, Claudia Plant, Christian Böhm:
Anytime density-based clustering of complex data. Knowl. Inf. Syst. 45(2): 319-355 (2015) - [c45]Christian Böhm, Claudia Plant:
Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures. ICDM Workshops 2015: 597-606 - [c44]Alexandra Derntl, Claudia Plant, Philipp Gruber, Susanne Wegener, Jan S. Bauer, Bjoern H. Menze:
Stroke Lesion Segmentation Using a Probabilistic Atlas of Cerebral Vascular Territories. Brainles@MICCAI 2015: 21-32 - 2014
- [j13]Lorenzo Pasquini, Annika Tonch, Claudia Plant, Andrew Zherdin, Marion Ortner, Alexander Kurz, Hans Förstl, Claus Zimmer, Timo Grimmer, Afra M. Wohlschläger, Valentin Riedl, Christian Sorg:
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. Brain Connect. 4(5): 323-336 (2014) - [j12]Anke Meyer-Baese, Claudia Plant, Juan Manuel Górriz Sáez:
Advanced Computer Vision Approaches in Biomedical Image Analysis. Comput. Math. Methods Medicine 2014: 347265:1-347265:2 (2014) - [j11]Claudia Plant, Andrew Zherdin, Christian Sorg, Anke Meyer-Bäse, Afra M. Wohlschläger:
Mining Interaction Patterns among Brain Regions by Clustering. IEEE Trans. Knowl. Data Eng. 26(9): 2237-2249 (2014) - [c43]Muzaffer Can Altinigneli, Bettina Konte, Dan Rujescir, Christian Böhm, Claudia Plant:
Identification of SNP interactions using data-parallel primitives on GPUs. IEEE BigData 2014: 539-548 - [c42]Sebastian Goebl, Xiao He, Claudia Plant, Christian Böhm:
Finding the Optimal Subspace for Clustering. ICDM 2014: 130-139 - [c41]Samuel Maurus, Claudia Plant:
Ternary Matrix Factorization. ICDM 2014: 400-409 - [c40]Claudia Plant:
Metric Factorization for Exploratory Analysis of Complex Data. ICDM 2014: 510-519 - [c39]Valeriy Khakhutskyy, Michael Schwarzfischer, Nina C. Hubig, Claudia Plant, Carsten Marr, Michael A. Rieger, Timm Schroeder, Fabian J. Theis:
Centroid Clustering of Cellular Lineage Trees. ITBAM 2014: 15-29 - [c38]Sebastian Goebl, Anke Meyer-Bäse, Marc Lobbes, Claudia Plant:
Segmentation and Kinetic Analysis of Breast Lesions in DCE-MR Imaging Using ICA. ITBAM 2014: 45-59 - [c37]Taymi Ceruto Cordovés, Orenia Lapeira, Annika Tonch, Claudia Plant, Rafael Espin, Alejandro Rosete:
Mining Medical Data to Obtain Fuzzy Predicates. ITBAM 2014: 103-117 - [c36]Xiao He, Jing Feng, Bettina Konte, Son T. Mai, Claudia Plant:
Relevant overlapping subspace clusters on categorical data. KDD 2014: 213-222 - 2013
- [j10]Felix Retter, Claudia Plant, Bernhard Burgeth, Guillermo Botella, Thomas Schlossbauer, Anke Meyer-Bäse:
Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics. EURASIP J. Adv. Signal Process. 2013: 157 (2013) - [j9]Junming Shao, Xiao He, Christian Böhm, Qinli Yang, Claudia Plant:
Synchronization-Inspired Partitioning and Hierarchical Clustering. IEEE Trans. Knowl. Data Eng. 25(4): 893-905 (2013) - [c35]Jing Feng, Xiao He, Nina C. Hubig, Christian Böhm, Claudia Plant:
Compression-Based Graph Mining Exploiting Structure Primitives. ICDM 2013: 181-190 - [c34]Son T. Mai, Xiao He, Nina C. Hubig, Claudia Plant, Christian Böhm:
Active Density-Based Clustering. ICDM 2013: 508-517 - [c33]Muzaffer Can Altinigneli, Claudia Plant, Christian Böhm:
Massively parallel expectation maximization using graphics processing units. KDD 2013: 838-846 - [c32]Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm:
Robust Synchronization-Based Graph Clustering. PAKDD (1) 2013: 249-260 - 2012
- [j8]Frank Steinbrücker, Anke Meyer-Baese, Claudia Plant, Thomas Schlossbauer, Uwe Meyer-Baese:
Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis. Adv. Artif. Neural Syst. 2012: 919281:1-919281:8 (2012) - [j7]Claudia Plant, Son Thai Mai, Junming Shao, Fabian J. Theis, Anke Meyer-Baese, Christian Böhm:
Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms. Adv. Artif. Neural Syst. 2012: 962105:1-962105:13 (2012) - [j6]Qinli Yang, Junming Shao, Miklas Scholz, Christian Böhm, Claudia Plant:
Multi-label classification models for sustainable flood retention basins. Environ. Model. Softw. 32: 27-36 (2012) - [c31]Son T. Mai, Sebastian Goebl, Claudia Plant:
A Similarity Model and Segmentation Algorithm for White Matter Fiber Tracts. ICDM 2012: 1014-1019 - [c30]Claudia Plant:
Dependency clustering across measurement scales. KDD 2012: 361-369 - [c29]Jing Feng, Xiao He, Bettina Konte, Christian Böhm, Claudia Plant:
Summarization-based mining bipartite graphs. KDD 2012: 1249-1257 - [c28]Martin Dyrba, Michael Ewers, Martin Wegrzyn, Ingo Kilimann, Claudia Plant, Annahita Oswald, Thomas Meindl, Michela Pievani, Arun L. W. Bokde, Andreas Fellgiebel, Massimo Filippi, Harald Hampel, Stefan Klöppel, Karlheinz Hauenstein, Thomas Kirste, Stefan J. Teipel:
Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset. MBIA 2012: 18-28 - 2011
- [c27]Junming Shao, Claudia Plant, Qinli Yang, Christian Böhm:
Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data. ICDM 2011: 607-616 - [c26]Xiao He, Jing Feng, Claudia Plant:
Automatically Spotting Information-Rich Nodes in Graphs. ICDM Workshops 2011: 941-948 - [c25]Claudia Plant, Christian Böhm:
INCONCO: interpretable clustering of numerical and categorical objects. KDD 2011: 1127-1135 - [c24]Claudia Plant:
SONAR: Signal De-mixing for Robust Correlation Clustering. SDM 2011: 319-330 - [c23]Nikola Müller, Katrin Haegler, Junming Shao, Claudia Plant, Christian Böhm:
Weighted Graph Compression for Parameter-free Clustering With PaCCo. SDM 2011: 932-943 - [e1]Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Christian Böhm, Johann Eder, Claudia Plant:
Transactions on Large-Scale Data- and Knowledge-Centered Systems IV - Special Issue on Database Systems for Biomedical Applications. Lecture Notes in Computer Science 6990, Springer 2011, ISBN 978-3-642-23739-3 [contents] - 2010
- [j5]Junming Shao, Klaus Hahn, Qinli Yang, Afra M. Wohlschläger, Christian Böhm, Nicholas Myers, Claudia Plant:
Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain. Int. J. Knowl. Discov. Bioinform. 1(4): 1-25 (2010) - [j4]Claudia Plant, Stefan J. Teipel, Annahita Oswald, Christian Böhm, Thomas Meindl, Janaina Mourão Miranda, Arun L. W. Bokde, Harald Hampel, Michael Ewers:
Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease. NeuroImage 50(1): 162-174 (2010) - [c22]Anke Meyer-Bäse, Claudia Plant, Susanne Cappendijk, Fabian J. Theis:
Robust Stability Analysis of Multi-Time Scale Genetic Regulatory Networks under Parametric Uncertainties. BIOCOMP 2010: 854-863 - [c21]Claudia Plant, Fabian J. Theis, Anke Meyer-Bäse, Christian Böhm:
Information-Theoretic Model Selection for Independent Components. LVA/ICA 2010: 254-262 - [c20]Fabian J. Theis, Nikola S. Müller, Claudia Plant, Christian Böhm:
Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging. LVA/ICA 2010: 466-473 - [c19]Claudia Plant, Christian Böhm:
Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates. ICDM Workshops 2010: 178-185 - [c18]Junming Shao, Klaus Hahn, Qinli Yang, Christian Böhm, Afra M. Wohlschläger, Nicholas Myers, Claudia Plant:
Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain. ICDM Workshops 2010: 747-754 - [c17]Christian Böhm, Claudia Plant, Junming Shao, Qinli Yang:
Clustering by synchronization. KDD 2010: 583-592 - [c16]Christian Böhm, Sebastian Goebl, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther:
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes. PAKDD (1) 2010: 38-47 - [c15]Christian Böhm, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther:
SkyDist: Data Mining on Skyline Objects. PAKDD (1) 2010: 461-470 - [c14]Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther, Peter Wackersreuther:
ITCH: Information-Theoretic Cluster Hierarchies. ECML/PKDD (1) 2010: 151-167 - [c13]Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant:
Synchronization Based Outlier Detection. ECML/PKDD (3) 2010: 245-260
2000 – 2009
- 2009
- [j3]Christian Böhm, Robert Noll, Claudia Plant, Bianca Wackersreuther, Andrew Zherdin:
Data Mining Using Graphics Processing Units. Trans. Large Scale Data Knowl. Centered Syst. 1: 63-90 (2009) - [c12]Christian Böhm, Robert Noll, Claudia Plant, Andrew Zherdin:
Indexsupported Similarity Join on Graphics Processors. BTW 2009: 57-66 - [c11]Christian Böhm, L. Läer, Claudia Plant, Andrew Zherdin:
Model-based Classification of Data with Time Series-valued Attributes. BTW 2009: 287-296 - [c10]Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther:
Probabilistic skyline queries. CIKM 2009: 651-660 - [c9]Christian Böhm, Robert Noll, Claudia Plant, Bianca Wackersreuther:
Density-based clustering using graphics processors. CIKM 2009: 661-670 - [c8]Claudia Plant, Afra M. Wohlschläger, Andrew Zherdin:
Interaction-Based Clustering of Multivariate Time Series. ICDM 2009: 914-919 - [c7]Christian Böhm, Katrin Haegler, Nikola S. Müller, Claudia Plant:
CoCo: coding cost for parameter-free outlier detection. KDD 2009: 149-158 - [r1]Christian Böhm, Claudia Plant:
High Dimensional Indexing. Encyclopedia of Database Systems 2009: 1309-1314 - 2008
- [c6]Christian Böhm, Claudia Plant:
HISSCLU: a hierarchical density-based method for semi-supervised clustering. EDBT 2008: 440-451 - [c5]Christian Böhm, Christos Faloutsos, Claudia Plant:
Outlier-robust clustering using independent components. SIGMOD Conference 2008: 185-198 - 2007
- [j2]Christian Böhm, Christos Faloutsos, Jia-Yu Pan, Claudia Plant:
RIC: Parameter-free noise-robust clustering. ACM Trans. Knowl. Discov. Data 1(3): 10 (2007) - [c4]Christian Böhm, Beng Chin Ooi, Claudia Plant, Ying Yan:
Efficiently Processing Continuous k-NN Queries on Data Streams. ICDE 2007: 156-165 - [p1]Claudia Plant:
Data Mining Algorithmen zur Wissensgewinnung aus komplexen biologischen und medizinischen Datensätzen. Ausgezeichnete Informatikdissertationen 2007: 229-238 - 2006
- [b1]Claudia Plant:
Knowledge extraction and data mining algorithms for complex biomedical data. Universität Hall, 2006, pp. 1-300 - [j1]Claudia Plant, Christian Böhm, Bernhard Tilg, Christian Baumgartner:
Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data. Bioinform. 22(8): 981-988 (2006) - [c3]Claudia Plant, Melanie Osl, Bernhard Tilg, Christian Baumgartner:
Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer. ICDM Workshops 2006: 174-179 - [c2]Christian Böhm, Christos Faloutsos, Jia-Yu Pan, Claudia Plant:
Robust information-theoretic clustering. KDD 2006: 65-75 - 2004
- [c1]Christian Baumgartner, Claudia Plant, Karin Kailing, Hans-Peter Kriegel, Peer Kröger:
Subspace Selection for Clustering High-Dimensional Data. ICDM 2004: 11-18
Coauthor Index
aka: Lena Greta Marie Bauer
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