Claudia Plant

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Christian BöhmProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU)Verified email at dbs.ifi.lmu.de
Junming ShaoUniversity 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
Harald Hampel, MD, PhD, MA, MScChief Medical Officer (CMO) and Senior Vice President, Eisai Inc.Verified email at med.uni-muenchen.de
Anke Meyer-BaeseProfessor of Scientific Computing, Florida State UniversityVerified email at fsu.edu
Sebastian GoeblLudwig-Maximilians-Universität Munich, GermanyVerified email at dbs.ifi.lmu.de
Nikola MüllerHelmholtz Zentrum MünchenVerified email at nikolamueller.de
Christos FaloutsosCMUVerified email at cs.cmu.edu
Miklas ScholzProfessor in Civil Engineering, The University of Salford; Professor in Water Resources EngineeringVerified email at salford.ac.uk
Janaina Mourao-MirandaUniversity College LondonVerified email at cs.ucl.ac.uk
Fabian J TheisHelmholtz Zentrum München, GermanyVerified email at helmholtz-muenchen.de
Jia-Yu PanGoogle Inc.Verified email at google.com
Nicholas E MyersUniversity of NottinghamVerified email at nottingham.ac.uk
Valentin RiedlTechnische Universität München (TUM)Verified email at tum.de
Enrico SchulzLudwig-Maximilians-Universität MünchenVerified email at pain.sc
Markus PlonerProfessor of Human Pain Research, Technical University of MunichVerified email at tum.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	339	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	166	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	120	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	101	2013
Clustering by synchronization C Böhm, C Plant, J Shao, Q Yang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	100	2010
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	93	2004
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, 2007	79	2007
Robust information-theoretic clustering C Böhm, C Faloutsos, JY Pan, C Plant Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	77	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	73	2008
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	72	2012
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	70	2012
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	61	2018
HISSCLU: a hierarchical density-based method for semi-supervised clustering C Böhm, C Plant Proceedings of the 11th international conference on Extending database …, 2008	53	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	51	2009
Skinny-dip: clustering in a sea of noise S Maurus, C Plant Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016	50	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	48	2009
Anytime density-based clustering of complex data ST Mai, X He, J Feng, C Plant, C Böhm Knowledge and Information Systems 45 (2), 319-355, 2015	43	2015
Data mining using graphics processing units C Böhm, R Noll, C Plant, B Wackersreuther, A Zherdin Transactions on Large-Scale Data-and Knowledge-Centered Systems I, 63-90, 2009	39	2009
Active density-based clustering ST Mai, X He, N Hubig, C Plant, C Böhm 2013 IEEE 13th International Conference on Data Mining, 508-517, 2013	36	2013
Combining DTI and MRI for the automated detection of Alzheimer’s disease using a large European multicenter dataset M Dyrba, M Ewers, M Wegrzyn, I Kilimann, C Plant, A Oswald, T Meindl, ... International Workshop on Multimodal Brain Image Analysis, 18-28, 2012	36	2012

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