Katharina Morik

Cited by

	All	Since 2016
Citations	4997	1429
h-index	32	18
i10-index	97	35

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Co-authors

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, AUEBVerified email at aueb.gr
Jakub MarečekCzech Technical University in PragueVerified email at fel.cvut.cz
Avigdor GalTechnion -- Israel Institute of TechnologyVerified email at technion.ac.il
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Hanna KöpckeUniversity of LeipzigVerified email at informatik.uni-leipzig.de
Jo Vandesompeleprofessor in functional cancer genomics and applied bioinformaticsVerified email at ugent.be
Alexander ArtikisUniversity of Piraeus, NCSR DemokritosVerified email at iit.demokritos.gr
Peter MarwedelProfessor, TU Dortmund, Informatik 12Verified email at tu-dortmund.de
Stefan HausteinAlumnus TU DortmundVerified email at tu-dortmund.de
Walter DaelemansProfessor of Computational Linguistics, University of AntwerpVerified email at uantwerpen.be
Sven RahmannGenome Informatics, University Hospital Essen, University of Duisburg-EssenVerified email at uni-due.de
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerp.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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Combining statistical learning with a knowledge-based approach: a case study in intensive care monitoring K Morik, P Brockhausen, T Joachims Technical Report, 1999	494	1999
Knowledge acquisition and machine learning K Morik, BE Kietz, W Emde, S Wrobel Morgan Kaufmann Publishers Inc., 1993	265	1993
Automatic feature extraction for classifying audio data I Mierswa, K Morik Machine learning 58 (2-3), 127-149, 2005	215	2005
A polynomial approach to the constructive induction of structural knowledge JU Kietz, K Morik Machine Learning 14 (2), 193-217, 1994	168	1994
Lecture notes in computer science G Goos, J Hartmanis Springer, 1973	131*	1973
The miningmart approach to knowledge discovery in databases K Morik, M Scholz Intelligent technologies for information analysis, 47-65, 2004	129	2004
A Benchmark Dataset for Audio Classification and Clustering. H Homburg, I Mierswa, B Möller, K Morik, M Wurst ISMIR 2005, 528-31, 2005	123	2005
Concept formation and knowledge revision S Wrobel Springer Science & Business Media, 2013	122	2013
Sloppy modeling K Morik Knowledge Representation and Organization in Machine Learning, 107-134, 1989	121	1989
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	114	2014
Balanced cooperative modeling K Morik Multistrategy Learning, 109-127, 1993	108	1993
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	107	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	103	2000
Dynamic route planning with real-time traffic predictions T Liebig, N Piatkowski, C Bockermann, K Morik Information Systems 64, 258-265, 2017	95	2017
Analysing customer churn in insurance data–a case study K Morik, H Köpcke European conference on principles of data mining and knowledge discovery …, 2004	78	2004
Learning concepts from sensor data of a mobile robot V Klingspor, KJ Morik, AD Rieger Machine Learning 23 (2), 305-332, 1996	75	1996
Knowledge acquisition as a process of model refinement E Motta, T Rajan, M Eisenstadt Knowledge acquisition 2 (1), 21-49, 1990	72	1990
Learning from label proportions by optimizing cluster model selection M Stolpe, K Morik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011	70	2011
Acquiring domain models K Morik International Journal of Man-Machine Studies 26 (1), 93-104, 1987	68	1987
Development of a general analysis and unfolding scheme and its application to measure the energy spectrum of atmospheric neutrinos with IceCube MG Aartsen, M Ackermann, J Adams, JA Aguilar, M Ahlers, M Ahrens, ... The European Physical Journal C 75 (3), 1-14, 2015	67	2015

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