A clustering method combining differential evolution with the K-means algorithm W Kwedlo Pattern Recognition Letters 32 (12), 1613-1621, 2011 | 172 | 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 | 66 | 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 | 47 | 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 -Means Algorithms Accelerated Using the Triangle Inequality W Kwedlo, PJ Czochanski Ieee Access 7, 42280-42297, 2019 | 34 | 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 | 29 | 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 | 25 | 2010 |
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 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 | 20 | 2014 |
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 | 19 | 2013 |
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 |
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 | 10 | 2021 |
Accelerated K-means algorithms for low-dimensional data on parallel shared-memory systems W Kwedlo, M Łubowicz IEEE Access 9, 74286-74301, 2021 | 7 | 2021 |
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 |
A hybrid steady-state evolutionary algorithm using random swaps for Gaussian model-based clustering W Kwedlo Expert Systems with Applications 208, 118159, 2022 | 6 | 2022 |
Two Modifications of Yinyang K-means Algorithm W Kwedlo Artificial Intelligence and Soft Computing: 16th International Conference …, 2017 | 6 | 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 | 6 | 2014 |
A parallel evolutionary algorithm for discovery of decision rules W Kwedlo Parallel Processing and Applied Mathematics: 5th International Conference …, 2004 | 5 | 2004 |
Parallelizing evolutionary algorithms for clustering data W Kwedlo International Conference on Parallel Processing and Applied Mathematics, 430-438, 2005 | 4 | 2005 |
Learning decision rules using a distributed evolutionary algorithm W KWEDLO, M KRĘTOWSKI TASK Quarterly 6 (3), 483-492, 2002 | 4 | 2002 |