Katharina Morik

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Nico PiatkowskiFraunhofer IAISVerified email at iais.fraunhofer.de
Thomas LiebigTU DortmundVerified email at tu-dortmund.de
Christian BockermannResearcher, TU Dortmund UniversityVerified email at udo.edu
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Dimitrios GunopulosNational and Kapodistrian University of AthensVerified email at di.uoa.gr
Sangkyun LeeSchool of Cybersecurity, Korea UniversityVerified email at korea.ac.kr
François SchnitzlerSenior Scientist, InterDigitalVerified email at interdigital.com
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
Vana KalogerakiProfessor, Department of Informatics, Athens University of Economics and Business, Athens, GreeceVerified email at aueb.gr
Jakub MarečekCzech Technical University in PragueVerified email at fel.cvut.cz
Hanna KöpckeProfessor, University of Applied Sciences MittweidaVerified email at hs-mittweida.de
Avigdor GalTechnion -- Israel Institute of TechnologyVerified email at technion.ac.il
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Alexander ArtikisUniversity of Piraeus, NCSR DemokritosVerified email at iit.demokritos.gr
Jo Vandesompeleprofessor in functional cancer genomics and applied bioinformaticsVerified email at ugent.be
Walter DaelemansProfessor of Computational Linguistics, University of AntwerpVerified email at uantwerpen.be
Peter MarwedelProfessor, TU Dortmund, Informatik 12Verified email at tu-dortmund.de
Stefan HausteinAlumnus TU DortmundVerified email at tu-dortmund.de
Sven RahmannSaarland UniversityVerified email at cs.uni-saarland.de
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerpen.be

Katharina Morik

Professor of Computer Science, TU Dortmund University

Verified email at tu-dortmund.de

Machine Learning Data Mining Big Data Ubiquitous Knowledge Discovery Industry 4.0


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Combining statistical learning with a knowledge-based approach: a case study in intensive care monitoring K Morik, P Brockhausen, T Joachims Technical Report, 1999	527	1999
Knowledge acquisition and machine learning K Morik, BE Kietz, W Emde, S Wrobel Morgan Kaufmann Publishers Inc., 1993	280	1993
Automatic feature extraction for classifying audio data I Mierswa, K Morik Machine learning 58, 127-149, 2005	243	2005
A polynomial approach to the constructive induction of structural knowledge JU Kietz, K Morik Machine learning 14, 193-217, 1994	174	1994
Dynamic route planning with real-time traffic predictions T Liebig, N Piatkowski, C Bockermann, K Morik Information Systems 64, 258-265, 2017	166	2017
A Benchmark Dataset for Audio Classification and Clustering. H Homburg, I Mierswa, B Möller, K Morik, M Wurst ISMIR 2005, 528-31, 2005	153	2005
The miningmart approach to knowledge discovery in databases N Zhong, J Liu, K Morik, M Scholz Intelligent technologies for information analysis, 47-65, 2004	146	2004
Quality prediction in interlinked manufacturing processes based on supervised & unsupervised machine learning D Lieber, M Stolpe, B Konrad, J Deuse, K Morik Procedia Cirp 7, 193-198, 2013	142	2013
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. A Artikis, M Weidlich, F Schnitzler, I Boutsis, T Liebig, N Piatkowski, ... EDBT 14, 712-723, 2014	136	2014
Sloppy modeling K Morik Knowledge representation and organization in machine learning, 107-134, 2005	135	2005
Accurate prediction of neuroblastoma outcome based on miRNA expression profiles JH Schulte, B Schowe, P Mestdagh, L Kaderali, P Kalaghatgi, S Schlierf, ... International Journal of Cancer 127 (10), 2374-2385, 2010	113	2010
Knowledge discovery and knowledge validation in intensive care K Morik, M Imboff, P Brockhausen, T Joachims, U Gather Artificial Intelligence in Medicine 19 (3), 225-249, 2000	110	2000
Balanced cooperative modeling K Morik Multistrategy Learning: A Special Issue of MACHINE LEARNING, 109-127, 1993	110	1993
Analysing customer churn in insurance data–a case study K Morik, H Köpcke Knowledge Discovery in Databases: PKDD 2004: 8th European Conference on …, 2004	96	2004
Development of a general analysis and unfolding scheme and its application to measure the energy spectrum of atmospheric neutrinos with IceCube: IceCube Collaboration MG Aartsen, M Ackermann, J Adams, JA Aguilar, M Ahlers, M Ahrens, ... The European Physical Journal C 75, 1-14, 2015	92	2015
Learning from Label Proportions by Optimizing Cluster Model Selection. M Stolpe, K Morik ECML/PKDD (3), 349-364, 2011	87	2011
Learning concepts from sensor data of a mobile robot V Klingspor, KJ Morik, AD Rieger Machine Learning 23, 305-332, 1996	82	1996
Predictive trip planning-smart routing in smart cities. T Liebig, N Piatkowski, C Bockermann, K Morik EDBT/ICDT Workshops, 331-338, 2014	75	2014
Beyond domain-independence W Hoeppner, T Christaller, H Marburger, K Morik, B Nebel, M O'Leary, ... Proc. of the IJCAI 83, 588-594, 1983	68	1983
Acquiring domain models K Morik International Journal of Man-Machine Studies 26 (1), 93-104, 1987	67	1987

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