Claudia Plant

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Christian BöhmProfessor of Computer Science, University of Vienna, Vienna, AustriaVerified email at univie.ac.at
Junming ShaoProfessor of Computer Science, University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Annahita OswaldLudwig-Maximilians-Universität Munich, GermanyVerified email at dbs.ifi.lmu.de
Michael EwersInstitute for Stroke and Dementia Research, Ludwig Maximilian University Munich (LMU)Verified email at med.uni-muenchen.de
Xiao HeAlibaba GroupVerified email at alibaba-inc.com
Anke Meyer-BaeseProfessor of Scientific Computing, Florida State UniversityVerified email at fsu.edu
Harald Hampel, MD, PhD, MA, MScChief Medical Officer, Senior Vice President, Eisai Inc.Verified email at eisai.com
Sebastian GoeblLudwig-Maximilians-Universität Munich, GermanyVerified email at dbs.ifi.lmu.de
Miklas ScholzProfessor in Civil Engineering, The University of Salford; Professor in Water Resources EngineeringVerified email at salford.ac.uk
Nikola MüllerHelmholtz Zentrum MünchenVerified email at nikolamueller.de
Christos FaloutsosCMUVerified email at cs.cmu.edu
Janaina Mourao-MirandaUniversity College LondonVerified email at cs.ucl.ac.uk
Fabian J TheisHelmholtz Munich, Technical University of MunichVerified email at helmholtz-muenchen.de
Jia-Yu PanGoogle Inc.Verified email at google.com
Nicholas E MyersUniversity of NottinghamVerified email at nottingham.ac.uk
Enrico SchulzLudwig-Maximilians-Universität MünchenVerified email at pain.sc
Markus PlonerProfessor of Human Pain Research, Technical University of MunichVerified email at tum.de
Valentin RiedlFriedrich-Alexander University (FAU) Erlangen, GermanyVerified email at fau.de
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
Peer KrögerChristian-Albrechts-University KielVerified email at informatik.uni-kiel.de

Claudia Plant

Professor of Computer Science, leader of research group Data Mining and Machine Learning, UniVie

Verified email at univie.ac.at - Homepage

Knowledge Discovery in Databases Data Mining Clustering High-performance Data Mining


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Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease C Plant, SJ Teipel, A Oswald, C Böhm, T Meindl, J Mourao-Miranda, ... Neuroimage 50 (1), 162-174, 2010	405	2010
Decoding an individual's sensitivity to pain from the multivariate analysis of EEG data E Schulz, A Zherdin, L Tiemann, C Plant, M Ploner Cerebral cortex 22 (5), 1118-1123, 2012	204	2012
Density-based clustering using graphics processors C Böhm, R Noll, C Plant, B Wackersreuther Proceedings of the 18th ACM conference on Information and knowledge …, 2009	134	2009
Robust automated detection of microstructural white matter degeneration in Alzheimer’s disease using machine learning classification of multicenter DTI data M Dyrba, M Ewers, M Wegrzyn, I Kilimann, C Plant, A Oswald, T Meindl, ... PloS one 8 (5), e64925, 2013	122	2013
Subspace selection for clustering high-dimensional data C Baumgartner, C Plant, K Railing, HP Kriegel, P Kroger Fourth IEEE International Conference on Data Mining (ICDM'04), 11-18, 2004	109	2004
Clustering by synchronization C Böhm, C Plant, J Shao, Q Yang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	108	2010
Transferring deep knowledge for object recognition in low-quality underwater videos X Sun, J Shi, L Liu, J Dong, C Plant, X Wang, H Zhou Neurocomputing 275, 897-908, 2018	107	2018
Prediction of Alzheimer's disease using individual structural connectivity networks J Shao, N Myers, Q Yang, J Feng, C Plant, C Böhm, H Förstl, A Kurz, ... Neurobiology of aging 33 (12), 2756-2765, 2012	84	2012
Efficiently processing continuous k-nn queries on data streams C Bohm, BC Ooi, C Plant, Y Yan 2007 IEEE 23rd International Conference on Data Engineering, 156-165, 2006	83	2006
Learnable graph convolutional network and feature fusion for multi-view learning Z Chen, L Fu, J Yao, W Guo, C Plant, S Wang Information Fusion 95, 109-119, 2023	82	2023
Robust information-theoretic clustering C Böhm, C Faloutsos, JY Pan, C Plant Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	79	2006
Outlier-robust clustering using independent components C Böhm, C Faloutsos, C Plant Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008	75	2008
Synchronization-inspired partitioning and hierarchical clustering J Shao, X He, C Böhm, Q Yang, C Plant IEEE Transactions on Knowledge and Data Engineering 25 (4), 893-905, 2012	74	2012
Skinny-dip: clustering in a sea of noise S Maurus, C Plant Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016	69	2016
CoCo: coding cost for parameter-free outlier detection C Böhm, K Haegler, NS Müller, C Plant Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	59	2009
Hissclu: a hierarchical density-based method for semi-supervised clustering C Böhm, C Plant Proceedings of the 11th international conference on Extending database …, 2008	58	2008
Probabilistic skyline queries C Böhm, F Fiedler, A Oswald, C Plant, B Wackersreuther Proceedings of the 18th ACM conference on Information and knowledge …, 2009	56	2009
Inconco: interpretable clustering of numerical and categorical objects C Plant, C Böhm Proceedings of the 17th ACM SIGKDD international conference on knowledge …, 2011	50	2011
Synchronization-based clustering on evolving data stream J Shao, Y Tan, L Gao, Q Yang, C Plant, I Assent Information Sciences 501, 573-587, 2019	49	2019
Anytime density-based clustering of complex data ST Mai, X He, J Feng, C Plant, C Böhm Knowledge and Information Systems 45, 319-355, 2015	48	2015

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