W. Kwedlo

发表

A hybrid steady-state evolutionary algorithm using random swaps for Gaussian model-based clustering

W. Kwedlo, 2022, Expert Syst. Appl..

A new random approach for initialization of the multiple restart EM algorithm for Gaussian model-based clustering

W. Kwedlo, 2015, Pattern Analysis and Applications.

LEARNING FINITE GAUSSIAN MIXTURES USING DIFFERENTIAL EVOLUTION

Wojciech Kwedlo, W. Kwedlo, 2010 .

Integration of solutions and services for multi-omics data analysis towards personalized medicine

M. Kretowski, C. Boldak, K. Jurczuk, 2021, Biocybernetics and Biomedical Engineering.

Discovery of Decision Rules from Databases: An Evolutionary Approach

Marek Kretowski, Wojciech Kwedlo, M. Kretowski, 1998, PKDD.

Accelerated K-Means Algorithms for Low-Dimensional Data on Parallel Shared-Memory Systems

Wojciech Kwedlo, Michał Łubowicz, W. Kwedlo, 2021, IEEE Access.

A Hybrid MPI/OpenMP Parallelization of $K$ -Means Algorithms Accelerated Using the Triangle Inequality

Wojciech Kwedlo, Pawel J. Czochanski, W. Kwedlo, 2019, IEEE Access.

Two Modifications of Yinyang K-means Algorithm

Wojciech Kwedlo, W. Kwedlo, 2017, ICAISC.

Parallelizing Evolutionary Algorithms for Clustering Data

Wojciech Kwedlo, W. Kwedlo, 2005, PPAM.

A Parallel Evolutionary Algorithm for Discovery of Decision Rules

Wojciech Kwedlo, W. Kwedlo, 2003, PPAM.

A Lamarckian Hybrid of Differential Evolution and Conjugate Gradients for Neural Network Training

Krzysztof Bandurski, Wojciech Kwedlo, W. Kwedlo, 2010, Neural Processing Letters.

Using Genetic Algorithm for Selection of Initial Cluster Centers for the K-Means Method

Wojciech Kwedlo, Piotr Iwanowicz, W. Kwedlo, 2010, ICAISC.

An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning

Marek Kretowski, Wojciech Kwedlo, M. Kretowski, 2001, ECML.

A clustering method combining differential evolution with the K-means algorithm

Wojciech Kwedlo, W. Kwedlo, 2011, Pattern Recognit. Lett..

Training neural networks with a hybrid differential evolution algorithm

K. Bandurski, W. Kwedlo, W. Kwedlo, 2009 .

Using a Genetic Algorithm for Selection of Starting Conditions for the EM Algorithm for Gaussian Mixture Models

Wojciech Kwedlo, W. Kwedlo, 2015, CORES.

Estimation of parameters of Gaussian mixture models by a hybrid method combining a self-adaptive differential evolution with the EM algorithm

Wojciech Kwedlo, W. Kwedlo, 2014 .

A New Method for Random Initialization of the EM Algorithm for Multivariate Gaussian Mixture Learning

Wojciech Kwedlo, W. Kwedlo, 2013, CORES.

A new random approach for initialization of the multiple restart EM algorithm for Gaussian model-based clustering

Wojciech Kwedlo, W. Kwedlo, 2015, Pattern Analysis and Applications.