Katharina Morik
Katharina Morik
Professor of Computer Science, TU Dortmund University
Verified email at
Cited by
Cited by
Combining statistical learning with a knowledge-based approach: a case study in intensive care monitoring
K Morik, P Brockhausen, T Joachims
Technical Report, 1999
Knowledge acquisition and machine learning
K Morik, BE Kietz, W Emde, S Wrobel
Morgan Kaufmann Publishers Inc., 1993
Automatic feature extraction for classifying audio data
I Mierswa, K Morik
Machine learning 58 (2), 127-149, 2005
A polynomial approach to the constructive induction of structural knowledge
JU Kietz, K Morik
Machine learning 14 (2), 193-217, 1994
A Benchmark Dataset for Audio Classification and Clustering.
H Homburg, I Mierswa, B Möller, K Morik, M Wurst
ISMIR 2005, 528-31, 2005
The miningmart approach to knowledge discovery in databases
K Morik, M Scholz
Intelligent technologies for information analysis, 47-65, 2004
Dynamic route planning with real-time traffic predictions
T Liebig, N Piatkowski, C Bockermann, K Morik
Information Systems 64, 258-265, 2017
Sloppy modeling
K Morik
Knowledge representation and organization in machine learning, 107-134, 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
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
Balanced cooperative modeling
K Morik
Multistrategy Learning, 109-127, 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
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
Analysing customer churn in insurance data–a case study
K Morik, H Köpcke
European conference on principles of data mining and knowledge discovery …, 2004
Machine learning and knowledge discovery in databases
Berlingerio, Hofmann
Springer International Publishing, 2019
Learning from label proportions by optimizing cluster model selection
M Stolpe, K Morik
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
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
Learning concepts from sensor data of a mobile robot
V Klingspor, KJ Morik, AD Rieger
Machine Learning 23 (2), 305-332, 1996
Predictive trip planning-smart routing in smart cities.
T Liebig, N Piatkowski, C Bockermann, K Morik
EDBT/ICDT Workshops, 331-338, 2014
Acquiring domain models
K Morik
International Journal of Man-Machine Studies 26 (1), 93-104, 1987
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