Wojciech Kwedlo

Orcid: 0000-0002-5040-2302

According to our database1, Wojciech Kwedlo authored at least 21 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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Bibliography

2024
Parallel Iterative Mistake Minimization (IMM) clustering algorithm for shared-memory systems.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023
Expectation-Maximization Algorithms for Gaussian Mixture Models Using Linear Algebra Libraries on Parallel Shared-Memory Systems.
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.
Expert Syst. Appl., 2022

2021
Accelerated K-Means Algorithms for Low-Dimensional Data on Parallel Shared-Memory Systems.
IEEE Access, 2021

2019
A Hybrid MPI/OpenMP Parallelization of $K$ -Means Algorithms Accelerated Using the Triangle Inequality.
IEEE Access, 2019

An OpenMP Parallelization of the K-means Algorithm Accelerated Using KD-trees.
Proceedings of the Parallel Processing and Applied Mathematics, 2019

2017
Two Modifications of Yinyang K-means Algorithm.
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.
Pattern Anal. Appl., 2015

Using a Genetic Algorithm for Selection of Starting Conditions for the EM Algorithm for Gaussian Mixture Models.
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.
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.
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.
Pattern Recognit. Lett., 2011

2010
A Lamarckian Hybrid of Differential Evolution and Conjugate Gradients for Neural Network Training.
Neural Process. Lett., 2010

Using Genetic Algorithm for Selection of Initial Cluster Centers for the <i>K</i>-Means Method.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

2006
A Parallel Differential Evolution Algorithm A Parallel Differential Evolution Algorithm.
Proceedings of the Fifth International Conference on Parallel Computing in Electrical Engineering (PARELEC 2006), 2006

2005
Parallelizing Evolutionary Algorithms for Clustering Data.
Proceedings of the Parallel Processing and Applied Mathematics, 2005

2003
A Parallel Evolutionary Algorithm for Discovery of Decision Rules.
Proceedings of the Parallel Processing and Applied Mathematics, 2003

2001
An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
Application of Data-Mining and Knowledge Discovery in Automotive Data Engineering.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1999
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

1998
Discovery of Decision Rules from Databases: An Evolutionary Approach.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998


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