Marek Kretowski
Cited by
Cited by
An evolutionary algorithm using multivariate discretization for decision rule induction
W Kwedlo, M Krętowski
European Conference on Principles of Data Mining and Knowledge Discovery …, 1999
Physiologically based modeling of 3-D vascular networks and CT scan angiography
M Kretowski, Y Rolland, J Bézy-Wendling, JL Coatrieux
IEEE transactions on medical imaging 22 (2), 248-257, 2003
Toward a better understanding of texture in vascular CT scan simulated images
J Bézy-Wendling, M Kretowski, Y Rolland, W Le Bidon
IEEE transactions on biomedical engineering 48 (1), 120-123, 2001
An evolutionary algorithm for oblique decision tree induction
M Krętowski
Artificial Intelligence and Soft Computing-ICAISC 2004, 432-437, 2004
Discovery of decision rules from databases: an evolutionary approach
W Kwedlo, M Krętowski
European Symposium on Principles of Data Mining and Knowledge Discovery, 370-378, 1998
Selection of objects and attributes a tolerance rough set approach
M Kretowski, J Stepaniuk
Multiscale model of liver DCE-MRI towards a better understanding of tumor complexity
M Mescam, M Kretowski, J Bezy-Wendling
IEEE transactions on medical imaging 29 (3), 699-707, 2009
Multi-test decision tree and its application to microarray data classification
M Czajkowski, M Grześ, M Kretowski
Artificial intelligence in medicine 61 (1), 35-44, 2014
Texture characterization for hepatic tumor recognition in multiphase CT
D Duda, M Kretowski, J Bézy-Wendling
Biocybernetics and Biomedical Engineering 26 (4), 15, 2006
Fast algorithm for 3-D vascular tree modeling
M Kretowski, Y Rolland, J Bézy-Wendling, JL Coatrieux
Computer methods and programs in biomedicine 70 (2), 129-136, 2003
Decision system based on tolerance rough sets
J Stepaniuk, M Kretowski
Proceedings of the Fourth International Workshop on Intelligent Information …, 1995
Global learning of decision trees by an evolutionary algorithm
M Krętowski, M Grześ
Information Processing and Security Systems, 401-410, 2005
The role of decision tree representation in regression problems–An evolutionary perspective
M Czajkowski, M Kretowski
Applied Soft Computing 48, 458-475, 2016
Computational modeling of MR flow imaging by the lattice Boltzmann method and Bloch equation
K Jurczuk, M Kretowski, JJ Bellanger, PA Eliat, H Saint-Jalmes, ...
Magnetic resonance imaging 31 (7), 1163-1173, 2013
Evolutionary induction of mixed decision trees
M Kretowski, M Grzes
Data Warehousing and Mining: Concepts, Methodologies, Tools, and …, 2008
Design of neural classifying networks by using dipolar criterions
L Bobrowski, M Kretowska, M Kretowski
Proc. of the Third Conference on Neural Networks and Their Applications …, 1997
Computer aided diagnosis of liver tumors based on multi-image texture analysis of contrast-enhanced CT. Selection of the most appropriate texture features
D Duda, M Kretowski, J Bézy-Wendling
Studies in Logic, Grammar and Rhetoric 35 (1), 49-70, 2013
Evolutionary induction of global model trees with specialized operators and memetic extensions
M Czajkowski, M Kretowski
Information Sciences 288, 153-173, 2014
Top Scoring Pair Decision Tree for Gene Expression Data Analysis
M Czajkowski, M Kretowski
Software Tools and Algorithms for Biological Systems, 27-35, 2011
Evolutionary induction of a decision tree for large-scale data: a GPU-based approach
K Jurczuk, M Czajkowski, M Kretowski
Soft Computing 21 (24), 7363-7379, 2017
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