Piotr A. Kowalski

Laura Po

Ecol. Informatics, 2024

Mitigating Saturation in Fuzzy-Flip-Flop Neural Networks Trained with Memetic PSO Algorithm.

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[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Classification of Wheat Species Using Convolutional Neural Networks: A Comparative Study.

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[DOI]

Jerzy Niewczas

Proceedings of the Future Access Enablers for Ubiquitous and Intelligent Infrastructures, 2024

2023

The forensic information identification based on machine learning algorithms.

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[DOI]

Karol Kocierz

Forensic Sci. Int. Digit. Investig., December, 2023

Choice of the <i>p</i>-norm for high level classification features pruning in modern convolutional neural networks with local sensitivity analysis.

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[DOI]

Int. J. Appl. Math. Comput. Sci., 2023

Feature selection for regression tasks base on explainable artificial intelligence procedures.

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[DOI]

Maciej Walczak

Proceedings of the International Joint Conference on Neural Networks, 2023

A New Particle Swarm Optimisation Based Memetic Procedure for Fuzzy J-K Flop Neural Networks Learning.

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[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Parallel complete gradient clustering algorithm and its properties.

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[DOI]

Inf. Sci., 2022

Input reduction of convolutional neural networks with global sensitivity analysis as a data-centric approach.

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[DOI]

Neurocomputing, 2022

Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms.

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[DOI]

Appl. Soft Comput., 2022

Clustering with Nature-Inspired Algorithm Based on Territorial Behavior of Predatory Animals.

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[DOI]

Maciej Trzcinski

Algorithms, 2022

Machine learning techniques for explaining air pollution prediction.

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[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Learning for Porous Media Classification Based on Micro-CT Images.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Saturation in Fuzzy Flip-Flop Neural Networks.

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[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Flattening Layer Pruning in Convolutional Neural Networks.

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[DOI]

Symmetry, 2021

Preface to Special Issue on Recent Advances in Information Technology III.

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[DOI]

J. Autom. Mob. Robotics Intell. Syst., 2021

Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland.

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[DOI]

Ecol. Informatics, 2021

A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks.

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[DOI]

Int. J. Appl. Math. Comput. Sci., 2021

Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions.

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[DOI]

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Preface to Special Issue on Recent Advances in Machine Learning and its Applications.

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[DOI]

J. Autom. Mob. Robotics Intell. Syst., 2020

Probabilistic Neural Network - parameters adjustment in classification task.

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[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Nature Inspired Clustering - Use Cases of Krill Herd Algorithm and Flower Pollination Algorithm.

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[DOI]

Proceedings of the Interactions Between Computational Intelligence and Mathematics Part 2, 2019

Preface to Special Issue on Contemporary Problems of Computer Science, Physics and Applied Mathematics.

[BibT_eX]

[DOI]

J. Autom. Mob. Robotics Intell. Syst., 2019

Preface to Special Issue of the Journal of Automation, Mobile Robotics and Intelligent Systems on Recent Advances in Information Technology II.

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[DOI]

J. Autom. Mob. Robotics Intell. Syst., 2019

Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors.

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[DOI]

Int. J. Appl. Math. Comput. Sci., 2019

Crow Search Algorithm for Continuous Optimization Tasks.

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[DOI]

Krystian Franus

Proceedings of the 6th International Conference on Control, 2019

2018

Sensitivity Analysis for Probabilistic Neural Network Structure Reduction.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Ensembling a Linear Eegression model with an error Mitigation Component.

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[DOI]

J. Autom. Mob. Robotics Intell. Syst., 2018

Weighted probabilistic neural network.

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[DOI]

Inf. Sci., 2018

Identification of atypical (rare) elements - a conditional, distribution-free approach.

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[DOI]

IMA J. Math. Control. Inf., 2018

Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure.

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[DOI]

Comput. Intell., 2018

An evaluation of utilizing geometric features for wheat grain classification using X-ray images.

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[DOI]

Comput. Electron. Agric., 2018

2017

Interval probabilistic neural network.

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[DOI]

Neural Comput. Appl., 2017

Computational modelling of cormorant swarm.

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[DOI]

Jolanta Kempter

Natalia Adamkowska

Ecol. Informatics, 2017

A Database Performance Polynomial Multiple Regression Model.

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[DOI]

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

Data Clustering with Grasshopper Optimization Algorithm.

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[DOI]

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

On the Use of Nature Inspired Metaheuristic in Computer Game.

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[DOI]

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

Determining the significance of features with the use of Sobol' method in probabilistic neural network classification tasks.

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[DOI]

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016

Training Neural Networks with Krill Herd Algorithm.

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[DOI]

Neural Process. Lett., 2016

Discrimination of Wheat Grain Varieties Using X-Ray Images.

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[DOI]

Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

The Column-oriented Data Store Performance Considerations.

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[DOI]

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Modification of the Probabilistic Neural Network with the Use of Sensitivity Analysis Procedure.

[BibT_eX]

[DOI]

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Clustering based on the Krill Herd Algorithm with Selected Validity Measures.

[BibT_eX]

[DOI]

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach.

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[DOI]

Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2016

Clustering using flower pollination algorithm and Calinski-Harabasz index.

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[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

The column-oriented database partitioning optimization based on the natural computing algorithms.

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[DOI]

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

Classification of Interval Information with Data Drift.

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[DOI]

Proceedings of the Modeling and Using Context, 2015

2014

Study of Flower Pollination Algorithm for Continuous Optimization.

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[DOI]

Proceedings of the Intelligent Systems'2014, 2014

Experimental Study of Selected Parameters of the Krill Herd Algorithm.

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[DOI]

Proceedings of the Intelligent Systems'2014, 2014

Fully Informed Swarm Optimization Algorithms: Basic Concepts, Variants and Experimental Evaluation.

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[DOI]

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

Neural Classification for Interval Information.

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[DOI]

Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2014

2013

An Algorithm of Classification for Nonstationary Case.

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[DOI]

Proceedings of the Advances in Soft Computing and Its Applications, 2013

Evolutionary Strategy for the Fuzzy Flip-Flop Neural Networks Supervised Learning Procedure.

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[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012

seeds.

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[DOI]

Dataset, September, 2012

2010

Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis.

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[DOI]

Proceedings of the Artificial Intelligence: Methodology, 2010

2008

Fuzzy Models Synthesis with Kernel-Density-Based Clustering Algorithm.

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[DOI]