Piotr A. Kowalski

Orcid: 0000-0003-4041-6900

Affiliations:
  • Polish Academy of Sciences, Systems Research Institute, Poland


According to our database1, Piotr A. Kowalski authored at least 53 papers between 2004 and 2023.

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

Timeline

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Bibliography

2023
The forensic information identification based on machine learning algorithms.
Forensic Sci. Int. Digit. Investig., December, 2023

Feature selection for regression tasks base on explainable artificial intelligence procedures.
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.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022
Parallel complete gradient clustering algorithm and its properties.
Inf. Sci., 2022

Input reduction of convolutional neural networks with global sensitivity analysis as a data-centric approach.
Neurocomputing, 2022

Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms.
Appl. Soft Comput., 2022

Clustering with Nature-Inspired Algorithm Based on Territorial Behavior of Predatory Animals.
Algorithms, 2022

Machine learning techniques for explaining air pollution prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Learning for Porous Media Classification Based on Micro-CT Images.
Proceedings of the International Joint Conference on Neural Networks, 2022

Saturation in Fuzzy Flip-Flop Neural Networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021
Flattening Layer Pruning in Convolutional Neural Networks.
Symmetry, 2021

Preface to Special Issue on Recent Advances in Information Technology III.
J. Autom. Mob. Robotics Intell. Syst., 2021

Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland.
Ecol. Informatics, 2021

A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks.
Int. J. Appl. Math. Comput. Sci., 2021

Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
Preface to Special Issue on Recent Advances in Machine Learning and its Applications.
J. Autom. Mob. Robotics Intell. Syst., 2020

Probabilistic Neural Network - parameters adjustment in classification task.
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.
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.
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.
J. Autom. Mob. Robotics Intell. Syst., 2019

Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors.
Int. J. Appl. Math. Comput. Sci., 2019

Crow Search Algorithm for Continuous Optimization Tasks.
Proceedings of the 6th International Conference on Control, 2019

2018
Sensitivity Analysis for Probabilistic Neural Network Structure Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2018

Ensembling a Linear Eegression model with an error Mitigation Component.
J. Autom. Mob. Robotics Intell. Syst., 2018

Weighted probabilistic neural network.
Inf. Sci., 2018

Identification of atypical (rare) elements - a conditional, distribution-free approach.
IMA J. Math. Control. Inf., 2018

Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure.
Comput. Intell., 2018

An evaluation of utilizing geometric features for wheat grain classification using X-ray images.
Comput. Electron. Agric., 2018

2017
Interval probabilistic neural network.
Neural Comput. Appl., 2017

Computational modelling of cormorant swarm.
Ecol. Informatics, 2017

A Database Performance Polynomial Multiple Regression Model.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

Data Clustering with Grasshopper Optimization Algorithm.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

On the Use of Nature Inspired Metaheuristic in Computer Game.
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.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016
Training Neural Networks with Krill Herd Algorithm.
Neural Process. Lett., 2016

Discrimination of Wheat Grain Varieties Using X-Ray Images.
Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

The Column-oriented Data Store Performance Considerations.
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.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Clustering based on the Krill Herd Algorithm with Selected Validity Measures.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach.
Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2016

Clustering using flower pollination algorithm and Calinski-Harabasz index.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
The column-oriented database partitioning optimization based on the natural computing algorithms.
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

Classification of Interval Information with Data Drift.
Proceedings of the Modeling and Using Context, 2015

2014
Study of Flower Pollination Algorithm for Continuous Optimization.
Proceedings of the Intelligent Systems'2014, 2014

Experimental Study of Selected Parameters of the Krill Herd Algorithm.
Proceedings of the Intelligent Systems'2014, 2014

Fully Informed Swarm Optimization Algorithms: Basic Concepts, Variants and Experimental Evaluation.
Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

Neural Classification for Interval Information.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2014

2013
An Algorithm of Classification for Nonstationary Case.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Evolutionary Strategy for the Fuzzy Flip-Flop Neural Networks Supervised Learning Procedure.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012

2010
Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis.
Proceedings of the Artificial Intelligence: Methodology, 2010

2008
Fuzzy Models Synthesis with Kernel-Density-Based Clustering Algorithm.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2004
Soft time-suboptimal controlling structure for mechanical systems.
Proceedings of the Fourth International Workshop on Robot Motion and Control, 2004


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