A clustering method combining differential evolution with the K-means algorithm W Kwedlo
Pattern Recognition Letters 32 (12), 1613-1621, 2011
181 2011 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
69 1999 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
49 1998 A parallel differential evolution for neural network training W Kwedlo, K Bandurski
Parallel Computing in Electrical Engineering, 2006. PAR ELEC 2006 …, 2006
41 * 2006 A Hybrid MPI/OpenMP Parallelization of W Kwedlo, PJ Czochanski
Ieee Access 7, 42280-42297, 2019
38 2019 Using Genetic Algorithm for Selection of Initial Cluster Centers for the K -Means Method W Kwedlo, P Iwanowicz
International Conference on Artificial Intelligence and Soft Computing, 165-172, 2010
31 2010 A Lamarckian hybrid of differential evolution and conjugate gradients for neural network training K Bandurski, W Kwedlo
Neural processing letters 32, 31-44, 2010
27 2010 Integration of solutions and services for multi-omics data analysis towards personalized medicine D Reska, M Czajkowski, K Jurczuk, C Boldak, W Kwedlo, W Bauer, ...
biocybernetics and biomedical engineering 41 (4), 1646-1663, 2021
25 2021 A new random approach for initialization of the multiple restart EM algorithm for Gaussian model-based clustering W Kwedlo
Pattern Analysis and Applications 18, 757-770, 2015
24 2015 A new method for random initialization of the EM algorithm for multivariate Gaussian mixture learning W Kwedlo
Proceedings of the 8th International Conference on Computer Recognition …, 2013
24 2013 A parallel EM algorithm for Gaussian mixture models implemented on a NUMA system using OpenMP W Kwedlo
2014 22nd Euromicro International Conference on Parallel, Distributed, and …, 2014
21 2014 An evolutionary algorithm for cost-sensitive decision rule learning W Kwedlo, M Krętowski
Machine Learning: ECML 2001: 12th European Conference on Machine Learning …, 2001
19 2001 Accelerated K-means algorithms for low-dimensional data on parallel shared-memory systems W Kwedlo, M Łubowicz
IEEE Access 9, 74286-74301, 2021
10 2021 A hybrid steady-state evolutionary algorithm using random swaps for Gaussian model-based clustering W Kwedlo
Expert Systems with Applications 208, 118159, 2022
8 2022 Erythropoietin enhances the cytotoxic effect of hydrogen peroxide on colon cancer cells A Tankiewicz-Kwedlo, J M. Hermanowicz, A Surazynski, W Kwedlo, ...
Current Pharmaceutical Biotechnology 18 (2), 127-137, 2017
7 2017 Estimation of parameters of Gaussian mixture models by a hybrid method combining a self-adaptive differential evolution with the EM algorithm W Kwedlo
Advances in Computer Science Research, 2014
7 2014 Two Modifications of Yinyang K -means Algorithm W Kwedlo
Artificial Intelligence and Soft Computing: 16th International Conference …, 2017
6 2017 A parallel evolutionary algorithm for discovery of decision rules W Kwedlo
Parallel Processing and Applied Mathematics: 5th International Conference …, 2004
5 2004 Learning decision rules using a distributed evolutionary algorithm W KWEDLO, M KRĘTOWSKI
TASK Quarterly 6 (3), 483-492, 2002
5 2002 Parallelizing evolutionary algorithms for clustering data W Kwedlo
International Conference on Parallel Processing and Applied Mathematics, 430-438, 2005
4 2005 
Marek KretowskiFaculty of Computer Science, Bialystok University of TechnologyEmail yang diverifikasi di pb.edu.pl