Wojciech Kwedlo - researchr alias

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Viewing Publication 1 - 20 from 20

2023

Expectation-Maximization Algorithms for Gaussian Mixture Models Using Linear Algebra Libraries on Parallel Shared-Memory SystemsWojciech Kwedlo. FedCSIS 2023: 1047-1052 [doi]

2022

A hybrid steady-state evolutionary algorithm using random swaps for Gaussian model-based clusteringWojciech Kwedlo. eswa, 208:118159, 2022. [doi]

2021

Accelerated K-Means Algorithms for Low-Dimensional Data on Parallel Shared-Memory SystemsWojciech Kwedlo, Michal Lubowicz. access, 9:74286-74301, 2021. [doi]

2019

An OpenMP Parallelization of the K-means Algorithm Accelerated Using KD-treesWojciech Kwedlo, Michal Lubowicz. ppam 2020: 457-466 [doi]

A Hybrid MPI/OpenMP Parallelization of $K$ -Means Algorithms Accelerated Using the Triangle InequalityWojciech Kwedlo, Pawel J. Czochanski. access, 7:42280-42297, 2019. [doi]

2017

Two Modifications of Yinyang K-means AlgorithmWojciech Kwedlo. icaisc 2017: 94-103 [doi]

2015

Using a Genetic Algorithm for Selection of Starting Conditions for the EM Algorithm for Gaussian Mixture ModelsWojciech Kwedlo. cores 2016: 125-134 [doi]

A new random approach for initialization of the multiple restart EM algorithm for Gaussian model-based clusteringWojciech Kwedlo. paa, 18(4):757-770, 2015. [doi]

2014

A Parallel EM Algorithm for Gaussian Mixture Models Implemented on a NUMA System Using OpenMPWojciech Kwedlo. pdp 2014: 292-298 [doi]

2013

A New Method for Random Initialization of the EM Algorithm for Multivariate Gaussian Mixture LearningWojciech Kwedlo. cores 2013: 81-90 [doi]

2011

A clustering method combining differential evolution with the K-means algorithmWojciech Kwedlo. prl, 32(12):1613-1621, 2011. [doi]

2010

A Lamarckian Hybrid of Differential Evolution and Conjugate Gradients for Neural Network TrainingKrzysztof Bandurski, Wojciech Kwedlo. npl, 32(1):31-44, 2010. [doi]

Using Genetic Algorithm for Selection of Initial Cluster Centers for the ::::K::::-Means MethodWojciech Kwedlo, Piotr Iwanowicz. icaisc 2010: 165-172 [doi]

2006

A Parallel Differential Evolution Algorithm A Parallel Differential Evolution AlgorithmWojciech Kwedlo, Krzysztof Bandurski. parelec 2006: 319-324 [doi]

2005

Parallelizing Evolutionary Algorithms for Clustering DataWojciech Kwedlo. ppam 2006: 430-438 [doi]

2003

A Parallel Evolutionary Algorithm for Discovery of Decision RulesWojciech Kwedlo. ppam 2004: 580-585 [doi]

2001

An Evolutionary Algorithm for Cost-Sensitive Decision Rule LearningWojciech Kwedlo, Marek Kretowski. ecml 2001: 288-299 [doi]

2000

Application of Data-Mining and Knowledge Discovery in Automotive Data EngineeringJörg Keller, Valerij Bauer, Wojciech Kwedlo. pkdd 2000: 464-469 [doi]

1999

An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule InductionWojciech Kwedlo, Marek Kretowski. pkdd 1999: 392-397

1998

Discovery of Decision Rules from Databases: An Evolutionary ApproachWojciech Kwedlo, Marek Kretowski. pkdd 1998: 370-378

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