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

Pattern analysis and applications : PAA, 2015-11, Vol.18 (4), p.757-770

Kwedlo, Wojciech

2015

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

IEEE access, 2019, Vol.7, p.42280-42297

2019

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

Expert systems with applications, 2022-12, Vol.208, p.118159, Article 118159

Kwedlo, Wojciech

2022

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

IEEE access, 2021, Vol.9, p.74286-74301

2021

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Exploring protein relative relations in skeletal muscle proteomic analysis for insights into insulin resistance and type 2 diabetes

Scientific reports, 2024-07, Vol.14 (1), p.17631-20, Article 17631

2024

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

Pattern recognition letters, 2011-09, Vol.32 (12), p.1613-1621

Kwedlo, Wojciech

2011

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Erythropoietin Enhances the Cytotoxic Effect of Hydrogen Peroxide on Colon Cancer Cells

Current pharmaceutical biotechnology, 2017-02, Vol.18 (2), p.127-137

2017

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Two Modifications of Yinyang K-means Algorithm

Artificial Intelligence and Soft Computing, p.94-103

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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, p.125-134

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1720-P: Metabolic Response to Bariatric Surgery of Novel High-Risk Prediabetes Subphenotypes

Diabetes (New York, N.Y.), 2023-06, Vol.72 (Supplement_1)

2023

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

2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, 2014, p.292-298

Kwedlo, Wojciech

2014

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Parallel Iterative Mistake Minimization (IMM) clustering algorithm for shared-memory systems

Proceedings of the 53rd International Conference on Parallel Processing, 2024, p.1-10

Kwedlo, Wojciech

2024

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1252-P: Differences in Cardiometabolic and Immune Biomarkers between Novel Subphenotypes of Individuals at Elevated Risk for Type 2 Diabetes

Diabetes (New York, N.Y.), 2023-06, Vol.72 (Supplement_1), p.1

2023

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A Hybrid MPI/OpenMP Parallelization of [Formula Omitted]-Means Algorithms Accelerated Using the Triangle Inequality

IEEE access, 2019-01, Vol.7, p.42280

2019

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

2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS), 2023, p.1047-1052

Kwedlo, Wojciech

2023

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

Biocybernetics and biomedical engineering, 2021-10, Vol.41 (4), p.1646-1663

2021

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

Neural processing letters, 2010-08, Vol.32 (1), p.31-44

2010

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

Parallel Processing and Applied Mathematics, p.457-466

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Parallelizing Evolutionary Algorithms for Clustering Data

Lecture notes in computer science, 2006, p.430-438

2006

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

Artifical Intelligence and Soft Computing, p.165-172

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A Parallel Evolutionary Algorithm for Discovery of Decision Rules

Lecture notes in computer science, 2004, p.580-585

2004

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LEARNING DECISION RULES USING A DISTRIBUTED EVOLUTIONARY ALGORITHM

T.A.S.K. quarterly, 2002-07, Vol.6 (3)

2002

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An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction

Lecture notes in computer science, 1999, p.392-397

1999

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Discovery of decision rules from databases: An evolutionary approach

Lecture notes in computer science, 1998, p.370-378

1998

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

Lecture notes in computer science, 2000, p.464-469

2000

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

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

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

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

Exploring protein relative relations in skeletal muscle proteomic analysis for insights into insulin resistance and type 2 diabetes

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

Erythropoietin Enhances the Cytotoxic Effect of Hydrogen Peroxide on Colon Cancer Cells

Two Modifications of Yinyang K-means Algorithm

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

1720-P: Metabolic Response to Bariatric Surgery of Novel High-Risk Prediabetes Subphenotypes

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

Parallel Iterative Mistake Minimization (IMM) clustering algorithm for shared-memory systems

1252-P: Differences in Cardiometabolic and Immune Biomarkers between Novel Subphenotypes of Individuals at Elevated Risk for Type 2 Diabetes

A Hybrid MPI/OpenMP Parallelization of [Formula Omitted]-Means Algorithms Accelerated Using the Triangle Inequality

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

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

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

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

Parallelizing Evolutionary Algorithms for Clustering Data

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

A Parallel Evolutionary Algorithm for Discovery of Decision Rules

LEARNING DECISION RULES USING A DISTRIBUTED EVOLUTIONARY ALGORITHM

An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction

Discovery of decision rules from databases: An evolutionary approach

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

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