Wojciech Kwedlo

According to our database, Wojciech Kwedlo authored at least 20 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2023

Expectation-Maximization Algorithms for Gaussian Mixture Models Using Linear Algebra Libraries on Parallel Shared-Memory Systems.

Wojciech Kwedlo

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

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

Wojciech Kwedlo

Expert Syst. Appl., 2022

2021

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

Wojciech Kwedlo, Michal Lubowicz

IEEE Access, 2021

2019

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

Wojciech Kwedlo, Pawel J. Czochanski

IEEE Access, 2019

An OpenMP Parallelization of the K-means Algorithm Accelerated Using KD-trees.

Wojciech Kwedlo, Michal Lubowicz

Proceedings of the Parallel Processing and Applied Mathematics, 2019

2017

Two Modifications of Yinyang K-means Algorithm.

Wojciech Kwedlo

Proceedings of the Artificial Intelligence and Soft Computing, 2017

2015

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

Wojciech Kwedlo

Pattern Anal. Appl., 2015

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

Wojciech Kwedlo

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014

A Parallel EM Algorithm for Gaussian Mixture Models Implemented on a NUMA System Using OpenMP.

Wojciech Kwedlo

Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

2013

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

Wojciech Kwedlo

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2011

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

Wojciech Kwedlo

Pattern Recognit. Lett., 2011

2010

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

Krzysztof Bandurski, Wojciech Kwedlo

Neural Process. Lett., 2010

Using Genetic Algorithm for Selection of Initial Cluster Centers for the <i>K</i>-Means Method.

Wojciech Kwedlo, Piotr Iwanowicz

Proceedings of the Artifical Intelligence and Soft Computing, 2010

2006

A Parallel Differential Evolution Algorithm A Parallel Differential Evolution Algorithm.

Wojciech Kwedlo, Krzysztof Bandurski

Proceedings of the Fifth International Conference on Parallel Computing in Electrical Engineering (PARELEC 2006), 2006

2005

Parallelizing Evolutionary Algorithms for Clustering Data.

Wojciech Kwedlo

Proceedings of the Parallel Processing and Applied Mathematics, 2005

2003

A Parallel Evolutionary Algorithm for Discovery of Decision Rules.

Wojciech Kwedlo

Proceedings of the Parallel Processing and Applied Mathematics, 2003

2001

An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning.

Wojciech Kwedlo, Marek Kretowski

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

Application of Data-Mining and Knowledge Discovery in Automotive Data Engineering.

Jörg Keller, Valerij Bauer, Wojciech Kwedlo

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1999

An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction.

Wojciech Kwedlo, Marek Kretowski

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

1998

Discovery of Decision Rules from Databases: An Evolutionary Approach.

Wojciech Kwedlo, Marek Kretowski

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998