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ORCIDClaudia Plant
Person information
- 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]